ovarian cancer research paper pdf

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• Ovarian Cancer

State of the Art and Future Directions in Translational Research

• George Coukos 0 ,
• Andrew Berchuck 1 ,
• Robert Ozols 2

University of Pennsylvania Medical Center, Philadelphia, USA

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Duke University Medical Center, Durham, USA

Fox chase cancer center, philadelphia, usa.

• Meeting will function as a think tank where clinicians, translational and basic scientists, and parties from the biotechnology and pharmaceutical industry will get together to review recent advances in clinical research and translational science in ovarian cancer and define areas of future research opportunities and priorities

Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 622)

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Table of contents (23 papers)

Front matter, ovarian cancer detection and pathogenesis, potential and limitations in early diagnosis of ovarian cancer.

• Nicole Urban, Charles Drescher

SMRP and HE4 as Biomarkers for Ovarian Carcinoma When Used Alone and in Combination with CA125 and/or Each Other

• Ingegerd Hellstrom, Karl Erik Hellstrom

Classification of Ovarian Cancer: A Genomic Analysis

• Michael P. Stany, Tomas Bonome, Fred Wamunyokoli, Kristen Zorn, Laurent Ozbun, Dong-Choon Park et al.

Epigenetic Markers of Ovarian Cancer

• Caroline A. Barton, Susan J. Clark, Neville F. Hacker, Philippa M. O’Brien

Role of Genetic Polymorphisms in Ovarian Cancer Susceptibility: Development of an International Ovarian Cancer Association Consortium

• Andrew Berchuck, Joellen M. Schildkraut, C. Leigh Pearce, Georgia Chenevix-Trench, Paul D. Pharoah

MicroRNA in Human Cancer: One Step Forward in Diagnosis and Treatment

• Lin Zhang, Nuo Yang, George Coukos

Ovarian Carcinogenesis: An Alternative Hypothesis

• Jurgen M. J. Piek, Paul J. van Diest, René H. M. Verheijen

BRCA1-Induced Ovarian Oncogenesis

• Louis Dubeau

Role of p53 and Rb in Ovarian Cancer

• David C. Corney, Andrea Flesken-Nikitin, Jinhyang Choi, Alexander Yu. Nikitin

Ovulatory Factor in Ovarian Carcinogenesis

• William J. Murdoch

Ovarian Cancer Therapeutics

Gynecologic oncology group (gog-usa) trials in ovarian cancer.

• Robert F. Ozols

Intraperitoneal Chemotherapy for Ovarian Cancer

• Mark A. Morgan

Ovarian Cancer: Can We Reverse Drug Resistance?

• David S. P. Tan, Joo Ern Ang, Stan B. Kaye

Syngeneic Mouse Model of Epithelial Ovarian Cancer: Effects of Nanoparticulate Paclitaxel, Nanotax®

• Katherine F. Roby, Fenghui Niu, Roger A. Rajewski, Charles Decedue, Bala Subramaniam, Paul F. Terranova

Individualized Molecular Medicine: Linking Functional Proteomics to Select Therapeutics Targeting the PI3K Pathway for Specific Patients

• Mandi M. Murph, Debra L. Smith, Bryan Hennessy, Yiling Lu, Corwin Joy, Kevin R. Coombes et al.

Defective Apoptosis Underlies Chemoresistance in Ovarian Cancer

• Karen M. Hajra, Lijun Tan, J. Rebecca Liu

Nanoparticle Delivery of Suicide DNA for Epithelial Ovarian Cancer Therapy

• Janet A. Sawicki, Daniel G. Anderson, Robert Langer

Biological Therapy with Oncolytic Herpesvirus

• Fabian Benencia, George Coukos

Cancer Immunotherapy: Perspectives and Prospects

• Sonia A. Perez, Michael Papamichail
• B7 family members
• Epigenetic markers
• Ovulatory factor
• Pathogenesis
• Regulatory T cells
• Vascular leukocytes
• classification
• genomic analysis
• p13K pathway

George Coukos

Andrew Berchuck

Robert Ozols

Book Title : Ovarian Cancer

Book Subtitle : State of the Art and Future Directions in Translational Research

Editors : George Coukos, Andrew Berchuck, Robert Ozols

Series Title : Advances in Experimental Medicine and Biology

DOI : https://doi.org/10.1007/978-0-387-68969-2

Publisher : Springer New York, NY

eBook Packages : Biomedical and Life Sciences , Biomedical and Life Sciences (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2008

Hardcover ISBN : 978-0-387-68966-1 Published: 09 May 2008

Softcover ISBN : 978-1-4419-2396-7 Published: 19 November 2010

eBook ISBN : 978-0-387-68969-2 Published: 06 June 2008

Series ISSN : 0065-2598

Series E-ISSN : 2214-8019

Edition Number : 1

Number of Pages : XII, 308

Topics : Oncology , Cancer Research , Life Sciences, general

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Journal of Ovarian Research

Article collection: nanotechnological approaches for the treatment of ovarian cancer.

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The mechanisms of MicroRNA 21 in premature ovarian insufficiency mice with mesenchymal stem cells transplantation

Authors: Na Yin, Chao Luo, Lun Wei, Guangzhao Yang, Le Bo and Caiping Mao

Birth weight and premature ovarian insufficiency: a systematic review and meta-analysis

Authors: Chengyang Jiang, Tongqing Gao, Yuwei Wang, Wenqiang Yang, Huan Huang, Yushan Li and Xinghai Yang

Stearoyl-CoA desaturase 1 inhibition induces ER stress-mediated apoptosis in ovarian cancer cells

Authors: Juwon Lee, Suin Jang, Jihye Im, Youngjin Han, Soochi Kim, HyunA Jo, Wenyu Wang, Untack Cho, Se Ik Kim, Aeran Seol, Boyun Kim and Yong Sang Song

LncRNA SNHG12 promotes cell proliferation and inhibits apoptosis of granulosa cells in polycystic ovarian syndrome by sponging miR-129 and miR-125b

Authors: Feilan Xuan, Ruiying Jin, Weimei Zhou, Yongju Ye, Yuefang Ren, Jiali Lu and Aixue Chen

Sialyl-Tn serves as a potential therapeutic target for ovarian cancer

Authors: Linah Al-Alem, Jillian M. Prendergast, Justin Clark, Bianca Zarrella, Dominique T. Zarrella, Sarah J. Hill, Whitfield B. Growdon, Venkatesh Pooladanda, David R. Spriggs, Daniel Cramer, Kevin M. Elias, Rawan I. Nazer, Steven J. Skates, Jeff Behrens, Daniel T. Dransfield and Bo R. Rueda

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Possibility of live birth in patients with low serum β-hCG 14 days after blastocyst transfer

Authors: Yixuan Wu and Haiying Liu

Role of CA125 in predicting ovarian cancer survival - a review of the epidemiological literature

Authors: Digant Gupta and Christopher G Lis

A combination of spearmint and flaxseed extract improved endocrine and histomorphology of ovary in experimental PCOS

Authors: Mina Mehraban, Gholamali Jelodar and Farhad Rahmanifar

Rising serum CA-125 levels within the normal range is strongly associated recurrence risk and survival of ovarian cancer

Authors: Szymon Piatek, Grzegorz Panek, Zbigniew Lewandowski, Mariusz Bidzinski, Dominika Piatek, Przemyslaw Kosinski and Miroslaw Wielgos

Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review

Authors: Vincent Dochez, Hélène Caillon, Edouard Vaucel, Jérôme Dimet, Norbert Winer and Guillaume Ducarme

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World Ovarian Cancer Day 2023

Join us in commemorating World Ovarian Cancer Day on May 8th with a look back at the most influential articles published in  Journal of Ovarian Research on ovarian cancer in the last few years. 

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Sham S Kakar, University of Louisville, USA

Benjamin K Tsang, University of Ottawa, Canada

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Aims and scope

Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ.

Topical areas include, but are not restricted to:

• Ovary development, hormone secretion and regulation
• Follicle growth and ovulation
• Infertility and Polycystic ovarian syndrome
• Regulation of pituitary and other biological functions by ovarian hormones
• Ovarian cancer, its prevention, diagnosis and treatment
• Drug development and screening
• Role of stem cells in ovary development and function

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Journal of Ovarian Research is affiliated with the CROWN initiative, Core Outcomes in Women’s Health. CROWN is an international initiative, led by journal editors, to harmonise outcome reporting in women’s health research. We are coming together to address the widespread, unwarranted variation in reporting of outcomes. CROWN’s main aim is to encourage researchers to report core outcome sets for key conditions in women’s health.

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Ovarian cancer articles from across Nature Portfolio

Ovarian cancer is an abnormal cell growth (tumour) arising in the ovary. The majority of ovarian cancers are epithelial and develop in women over 50. Screening is highly recommended in women with a family history of ovarian cancer.

Latest Research and Reviews

Human epidermal growth factor receptor-2 expression and subsequent dynamic changes in patients with ovarian cancer

• Yun Soo Chung
• Jung-Yun Lee

Ovarian tumor cell-derived JAGGED2 promotes omental metastasis through stimulating the Notch signaling pathway in the mesothelial cells

• Syed S. Islam
• Falah H. Al-Mohanna
• Abdelilah Aboussekhra

Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones

Intratumoural heterogeneity in high-grade serous ovarian carcinoma (HGSOC) remains to be explored. Here, the authors perform spatial transcriptomics and reveal a high degree of subclonal heterogeneity in HGSOC.

• Elena Denisenko
• Leanne de Kock
• Alistair R. R. Forrest

Targeting branched N -glycans and fucosylation sensitizes ovarian tumors to immune checkpoint blockade

Cancer cells can employ aberrant glycosylation patterns to evade the host immune response. Here the authors report that inhibition of branched N-glycans sensitizes homologous recombination (HR)-proficient, but not HR-deficient, epithelial ovarian cancer to immune checkpoint inhibitors.

• Pratima Saini
• Rugang Zhang

The splicing factor WBP11 mediates MCM7 intron retention to promote the malignant progression of ovarian cancer

• Zhongshao Chen

The CHK1 inhibitor prexasertib in BRCA wild-type platinum-resistant recurrent high-grade serous ovarian carcinoma: a phase 2 trial

ATR/CHK1 pathway inhibitors represent a therapeutic option for platinum-resistant high-grade serous ovarian carcinoma (HGSOC). Here the authors report the results of a phase 2 clinical study of the CHK1 inhibitor prexasertib in patients with BRCA wild-type platinum-resistant HGSOC with or without biopsiable disease.

• Elena Giudice
• Tzu-Ting Huang
• Jung-Min Lee

News and Comment

Mirvetuximab soravtansine has activity in platinum-sensitive epithelial ovarian cancer.

• Diana Romero

Mirvetuximab soravtansine superior to chemotherapy in platinum-resistant epithelial ovarian cancer

• Peter Sidaway

A medley of resistance in ovarian cancers

Multi-omic profiling of lesions at autopsy reveals a plethora of resistance mechanisms present within individual patients with ovarian cancer. This highlights the extreme challenge faced in treating end-stage disease and underscores the need for new methods of early detection and intervention.

• Barbara Hernando
• Geoff Macintyre

A biomarker-driven therapy for ovarian cancer

An antibody–drug conjugate showed impressive anti-cancer activity in selected patients with platinum-resistant ovarian cancer, and could become a new standard of care.

• Karen O’Leary

Beating the odds: molecular characteristics of long-term survivors of ovarian cancer

High-grade serous ovarian cancer, the most common form of the disease, is often fatal. This study investigated the genomic and immune characteristics of tumors from women who survived more than 10 years after their initial diagnosis, and compared them with short-term and moderate-term survivors.

Cytoreductive surgery effective after relapse

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Positive numbers indicate reductions in mortality or late-stage cancer. Analyses are unweighted. Grey shading indicates 95% CIs for linear regression. For panels A-F, the diameters of the circles are scaled by the number of trial participants.

Positive numbers indicate reductions in mortality or late-stage cancer. Analyses are unweighted. Grey shading indicates 95% CIs for linear regression. For panels A-F, the diameters of the circles are scaled by the number of trial participants. The number of trials is reduced compared with Figure 1 because some publications did not present numbers of stage III and IV cancers separately. The correlation is not presented for cancer types with 2 observations.

Data sharing statement

• Late-Stage Cancer End Points to Speed Cancer Screening Clinical Trials—Not So Fast JAMA Editorial April 7, 2024 Peter B. Bach, MD, MAPP

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Feng X , Zahed H , Onwuka J, et al. Cancer Stage Compared With Mortality as End Points in Randomized Clinical Trials of Cancer Screening : A Systematic Review and Meta-Analysis . JAMA. Published online April 07, 2024. doi:10.1001/jama.2024.5814

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Cancer Stage Compared With Mortality as End Points in Randomized Clinical Trials of Cancer Screening : A Systematic Review and Meta-Analysis

• 1 Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
• 2 Department of Respiratory Medicine, Leeds Teaching Hospitals, St James’s University Hospital, Leeds, United Kingdom
• 3 Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
• 4 Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
• 5 Center for Early Detection Advanced Research, Knight Cancer Institute, Portland, Oregon
• Editorial Late-Stage Cancer End Points to Speed Cancer Screening Clinical Trials—Not So Fast Peter B. Bach, MD, MAPP JAMA

Question   Compared with the end point of cancer-specific mortality, is incidence of late-stage cancer a suitable alternative end point in randomized clinical trials of cancer screening?

Findings   In this systematic review and meta-analysis that included 41 randomized clinical trials of cancer screening, correlation between the reduction in stage III and IV cancer and the reduction in cancer-specific mortality varied by cancer type. The correlation was high in trials that screened for ovarian (Pearson ρ = 0.99) and lung (Pearson ρ = 0.92) cancers, moderate for breast cancer (Pearson ρ = 0.70), and weak for colorectal (Pearson ρ = 0.39) and prostate (Pearson ρ = −0.69) cancers.

Meaning   In randomized clinical trials of cancer screening, the correlation between reductions in late-stage cancer and cancer-specific mortality varied meaningfully by cancer type. The end point of late-stage cancer may be an appropriate alternative to cancer-specific mortality for randomized clinical trials of screening for some types of cancer, but not for others.

Importance   Randomized clinical trials of cancer screening typically use cancer-specific mortality as the primary end point. The incidence of stage III-IV cancer is a potential alternative end point that may accelerate completion of randomized clinical trials of cancer screening.

Objective   To compare cancer-specific mortality with stage III-IV cancer as end points in randomized clinical trials of cancer screening.

Design, Setting, and Participants   This meta-analysis included 41 randomized clinical trials of cancer screening conducted in Europe, North America, and Asia published through February 19, 2024. Data extracted included numbers of participants, cancer diagnoses, and cancer deaths in the intervention and comparison groups. For each clinical trial, the effect of screening was calculated as the percentage reduction between the intervention and comparison groups in the incidence of participants with cancer-specific mortality and stage III-IV cancer.

Exposures   Randomization to a cancer screening test or to a comparison group in a clinical trial of cancer screening.

Main Outcomes and Measures   End points of cancer-specific mortality and incidence of stage III-IV cancer were compared using Pearson correlation coefficients with 95% CIs, linear regression, and fixed-effects meta-analysis.

Results   The included randomized clinical trials tested benefits of screening for breast (n = 6), colorectal (n = 11), lung (n = 12), ovarian (n = 4), prostate (n = 4), and other cancers (n = 4). Correlation between reductions in cancer-specific mortality and stage III-IV cancer varied by cancer type ( I 2  = 65%; P  = .02). Correlation was highest for trials that screened for ovarian (Pearson ρ = 0.99 [95% CI, 0.51-1.00]) and lung (Pearson ρ = 0.92 [95% CI, 0.72-0.98]) cancers, moderate for breast cancer (Pearson ρ = 0.70 [95% CI, −0.26 to 0.96]), and weak for colorectal (Pearson ρ = 0.39 [95% CI, −0.27 to 0.80]) and prostate (Pearson ρ = −0.69 [95% CI, −0.99 to 0.81]) cancers. Slopes from linear regression were estimated as 1.15 for ovarian cancer, 0.75 for lung cancer, 0.40 for colorectal cancer, 0.28 for breast cancer, and −3.58 for prostate cancer, suggesting that a given magnitude of reduction in incidence of stage III-IV cancer produced different magnitudes of change in incidence of cancer-specific mortality ( P for heterogeneity = .004).

Conclusions and Relevance   In randomized clinical trials of cancer screening, incidence of late-stage cancer may be a suitable alternative end point to cancer-specific mortality for some cancer types, but is not suitable for others. These results have implications for clinical trials of multicancer screening tests.

Cancer-specific mortality has been considered the definitive end point in randomized clinical trials (RCTs) of screening tests for cancer. However, mortality end points require large sample sizes and long follow-up periods to accrue sufficient mortality events. Alternative end points that occur before cancer mortality may facilitate more rapid completion of clinical trials for cancer screening, including for screening with multicancer early detection tests. 1 In England, an ongoing RCT of cancer screening with a multicancer early detection test uses the incidence of late-stage cancer (stages III-IV) as the primary end point. 2

The current study investigated whether the incidence of late-stage cancer is a suitable alternative end point to cancer mortality in cancer screening RCTs. Specifically, the analyses assessed whether the end point of late-stage cancer would have yielded similar conclusions regarding the efficacy of screening, compared with cancer mortality, and whether the magnitude of effect of cancer screening was similar when late-stage cancer was used as the end point, compared with when cancer-specific mortality was used as the end point. Assuming that cases diagnosed earlier by screening exchange their late-stage survival for early-stage survival, reductions in the 2 end points are potentially proportional. 3 However, the suitability of late-stage cancer as an alternative end point in RCTs of cancer screening may be influenced by biological differences between screen-detectable and undetectable cancers, heterogeneity in treatment efficacy for cancer, and earlier diagnoses among people with the same stage of cancer. A systematic review and meta-analysis of cancer screening RCTs was performed to compare the end points of stage III-IV cancer and cancer mortality and determine whether stage III-IV cancer might be a suitable alternative end point to cancer mortality.

This systematic review is registered on PROSPERO (CRD42023411132) 4 and follows PRISMA 2020 guidelines. 5 The eMethods in Supplement 1 describe the search procedure and data extracted. Eligible studies were English-language RCTs of cancer screening that used either individual or cluster randomization and were published before February 19, 2024. Inclusion criteria required that studies reported the numbers of cancer-specific deaths and numbers of cancer cases by stage that were, or could be, categorized as stage III-IV and distinguished from stage I-II. Records were identified by searching PubMed for studies classified as RCTs or clinical trials that mentioned, in the title, abstract, or MeSH (Medical Subject Headings) terms, words related to cancer, screening, and mortality (see eMethods in Supplement 1 ). We also searched previous reviews and meta-analyses, including Cochrane reviews, and used the Connected Papers tool. Initial screening of records was done by 1 of 3 reviewers (X.F., H.Z., or J.O.). Two reviewers assessed each remaining record for eligibility and extracted data and the third reviewer or senior author (H.A.R.) resolved discrepancies. A final verification of eligibility and extracted data was performed (X.F.). Studies were excluded if they screened participants in the comparison group at the end of the clinical trial or enrolled participants with a health condition (eFigure 1 in Supplement 1 ). Extracted data included participant characteristics (age range, percentage of female participants, geographic location, years of enrollment), trial design information (cancer type, screening intervention, comparison group, type of randomization, number of screens, duration of screening, follow-up time, staging system), and numbers of participants, cases of the screened cancer by stage, and deaths from the screened cancer in each study group (see eMethods in Supplement 1 ).

After data extraction, we calculated the percent change between study groups in the percentages of participants with cancer mortality and with late-stage cancer. We used the extracted numbers of participants, cancer-specific deaths, and late-stage cancer diagnoses, rather than the end points reported by each publication, to achieve uniformity of statistical methods. Specifically, to estimate cancer mortality, we divided the number of cancer-specific deaths by the number of participants in each group. Next, we calculated the percent change in cancer mortality as the difference in cancer mortality between trial groups divided by cancer mortality in the comparison group. We performed analogous calculations for late-stage cancer.

We used 3 approaches to evaluate whether incidence of late-stage cancer was a suitable alternative end point to cancer-specific mortality in RCTs of cancer screening. First, we used unweighted Pearson correlation coefficients to assess the degree to which the effect of screening on late-stage cancer was correlated with the effect of screening on cancer mortality. CIs were calculated only for analyses with 4 or more observations, using Fisher Z transformation. Second, we evaluated whether the 2 end points generated similar conclusions regarding screening efficacy according to the level of statistical significance for each end point using type I error thresholds of α = .05 and α = .10. Third, we used slopes from linear regression to assess whether the magnitude of the effect of screening on incidence of stage III-IV cancer was similar to the magnitude of the effect of screening on incidence of cancer mortality.

Separate analyses were performed for clinical trials of breast, colorectal, lung, ovarian, and prostate cancer screening. We also examined alternative end points of stage IV cancer and (for binary analyses only) stage shift. Stage shift was defined as a difference between trial groups (screening group vs comparator) in the percentage of all cancers represented by stage III-IV cancers.

We assessed heterogeneity by cancer type in correlation between the effects of screening on the incidence of late-stage cancer and the effects of screening on cancer mortality with fixed-effects meta-analysis using inverse variance weighting, restricted maximum-likelihood estimator for between-study variance, and Fisher Z transformation of correlation. We assessed heterogeneity by cancer type in linear regression slopes using a Wald test. For statistical significance, we applied proportion tests to the extracted data, which ensures a uniform statistical method but could result in discrepancies with published conclusions. For instances in which results from the same RCT were published at multiple follow-up points, we used the earliest follow-up point in our primary analysis because this usually reflects the prespecified analysis and is relevant for multicancer screening trials using short time horizons. For RCTs with 3 groups, we separately compared each intervention with control. eTable 1 in Supplement 1 explains how different staging systems were combined for comparisons.

As sensitivity analyses, we (1) used the last reported follow-up point for each RCT instead of the earliest, (2) used the earliest point for stage III-IV cancer but the last point for cancer mortality, (3) included all follow-up points for each trial instead of only the earliest, (4) refit linear regression models after removing the y-intercept, and (5) stratified the colorectal cancer screening trials by screening modality.

The literature search identified 1209 publications. After screening, 195 were assessed for eligibility and 137 were excluded (see eFigure 1 in Supplement 1 ). One additional publication was identified from Connected Papers and 1 from a systematic review. This resulted in 60 publications, 3 of which described 3-group RCTs, with results from one of the 3-group RCTs published at 2 follow-up points. When counting each 3-group RCT publication twice and including all follow-up points for each RCT, the full data set included 63 trials (eTable 2 in Supplement 1 ).

After restricting to the earliest report for each RCT, the primary analysis included 41 trials ( Table 1 ). The screened cancer types included lung (n = 12 trials), breast (n = 6), colorectal (n = 11), prostate (n = 4), ovary (n = 4), and other (n = 4 [liver, nasopharynx, and oral cancers]; excluded from meta-analysis). The numbers of participants included were less than or equal to 5000 in 7 trials, 5001 to 50 000 in 14 trials, 50 001 to 100 000 in 9 trials, and greater than 100 000 in 11 trials. Of the 41 trials, when using a type I error threshold of α = .05, a total of 9 showed reduced cancer mortality and 13 showed reduced stage III-IV cancer incidence.

The correlation between reductions in cancer mortality and incidence of stage III-IV cancer varied by cancer type ( I 2  = 65%; P  = .02) ( Figure 1 ). The correlation was high among clinical trials that screened for ovarian cancer (Pearson ρ = 0.99 [95% CI, 0.51-1.00]) and lung cancer (Pearson ρ = 0.92 [95% CI, 0.72-0.98]) and moderate for those that screened for breast cancer (Pearson ρ = 0.70 [95% CI,−0.26 to 0.96]). The correlation was weak among clinical trials that screened for colorectal cancer (Pearson ρ = 0.39 [95% CI, −0.27 to 0.80]) and there was no evidence of meaningful correlation for prostate cancer (Pearson ρ = −0.69 [95% CI, −0.99 to 0.81]).

Considering binary agreement based on statistical significance (α = .05; Table 2 ), 5 trials (12%) showed a reduction in both cancer mortality and incidence of stage III-IV cancer, while 24 trials (59%) showed a reduction in neither. There were 8 trials (20%) in which screening reduced stage III-IV cancer but not cancer mortality and 4 trials (10%) in which screening reduced cancer mortality but not stage III-IV cancer incidence. Therefore, 62% of clinical trials (8 of 13) in which screening reduced stage III-IV cancer showed no effect of screening on cancer mortality. Forty-four percent of clinical trials (4 of 9) in which screening reduced cancer mortality did not find that screening reduced stage III-IV cancer. Results were similar after changing the type I error threshold to α = .10.

In fitted lines from linear regression models, the y-intercepts ranged from 1% to 3% for breast, lung, and ovarian cancers, which is consistent with no change in cancer mortality when there was no reduction in incidence of stage III-IV cancer ( Figure 1 ). Intercepts were greater in magnitude for colorectal and prostate cancers. Slopes differed across cancer types ( P for heterogeneity = .004), indicating that a given magnitude of the effect of screening on stage III-IV cancer was associated with different magnitudes of the effect of screening on cancer mortality, according to cancer type. For ovarian cancer, reductions in stage III-IV cancer were associated approximately 1:1 with reductions in cancer-specific mortality (slope = 1.15 [95% CI, 0.89-1.41]). A similar result was observed for lung cancer (slope = 0.75 [95% CI, 0.54-0.95]). The effect of screening in reducing cancer mortality was much smaller than the effect of screening in reducing stage III-IV cancer for colorectal cancer (slope = 0.40 [95% CI, −0.22 to 1.02]) and breast cancer (slope = 0.28 [95% CI,−0.001 to 0.57]). The model for prostate cancer suggested no significant relationship between changes in stage III-IV cancer and cancer mortality (slope = −3.58 [95% CI, −8.84 to 1.69]).

When stage IV cancer was used to define late-stage cancer, only 29 of 41 trials could be analyzed ( Figure 2 ). Compared with incidence of stage III-IV cancer, the correlation between the effects of cancer screening on incidence of stage IV cancer and cancer mortality was reduced for breast (from 0.70 to 0.51), colorectal (from 0.39 to 0.15), lung (from 0.92 to 0.80), and ovarian (from 0.99 to 0.41) cancer, and could not be meaningfully estimated for prostate cancer (n = 2 trials). Linear regression slopes were also reduced for these 4 cancer types. For statistical significance with α = .05, there were 6 trials with a statistically significant reduction in both stage and mortality end points (21%), 18 with a reduction in neither (62%), 3 with a reduction in stage IV cancer only (10%), and 2 with a reduction in cancer mortality only (7%) ( Table 2 ). Considering stage shift as an alternative end point, defined as a change in the percentage of cancers represented by stage III-IV cancers (rather than the percentage of participants diagnosed with stage III-IV cancer), the percentage of trials showing a change in the stage end point without reduced cancer mortality increased from 20% for incidence of stage III-IV cancer to 51% for stage shift (21 of 41 trials; Table 2 ).

When considering the last rather than the earliest follow-up point reported for each trial, correlation between reductions in incidence of stage III-IV cancer and reductions in cancer mortality increased for colorectal cancer (from ρ = 0.39 to ρ = 0.80 [95% CI, 0.40-0.95]) and prostate cancer (from ρ = −0.69 to ρ = 0.69 [95% CI, −0.81 to 0.99]) (eFigure 2 in Supplement 1 ). In this analysis, heterogeneity in correlation across cancer types was not statistically significant ( P  = .87), but heterogeneity of linear regression slopes remained statistically significant ( P  = .008). The improved correlation was not consistently maintained when comparing the effect of screening on stage III-IV cancer at the earliest follow-up point with the effect of screening on cancer mortality at the latest point (eFigure 3 in Supplement 1 ). When including all follow-up points for each trial (n = 63), the correlation increased notably for prostate cancer (from ρ = −0.69 to ρ = 0.61 [95% CI, 0.14-0.86]) and slightly for breast and colorectal cancers (eFigure 4 in Supplement 1 ). Linear regression results after removing the y-intercept (ie, requiring zero change in cancer mortality if there is zero change in incidence of late-stage cancer) are shown in eFigure 5 in Supplement 1 . Among colorectal cancer screening trials, there was higher correlation between reductions in stage III-IV cancer and reductions in cancer mortality among trials using fecal occult blood testing (Pearson ρ = 0.60), which can detect invasive cancer at earlier stages, compared with endoscopy (Pearson ρ = −0.01), which can prevent cancer from occurring entirely (eFigure 6 in Supplement ).

In RCTs of cancer screening, end points based on late-stage cancer may be advantageous if they yield similar results as end points based on cancer-specific mortality. 6 In this systematic review of cancer screening clinical trials, correlation between the effects of cancer screening on incidence of stage III-IV cancer and on cancer-specific mortality was high for ovarian and lung cancers, moderate for breast cancer, and weak for colorectal and prostate cancers. The degree to which the magnitude of reduced incidence of stage III-IV cancer was similar to the magnitude of change in cancer mortality varied by cancer type.

For clinical trials that screen for lung and ovarian cancers, incidence of stage III-IV cancer may be a suitable alternative end point to cancer-specific mortality. In clinical trials of screening for these cancers, there was a high correlation between the effects of screening on these 2 end points (Pearson ρ >0.9), with linear regression slopes close to unity. Evidence for this conclusion is stronger for lung than ovarian cancer due to larger sample size (n = 12 vs n = 4 trials) and because reduced cancer mortality by screening has been demonstrated for lung but not ovarian cancer. 7 - 9 For breast cancer, although cancer stage and mortality end points correlated reasonably well (as noted in prior studies 10 , 11 ), reductions in cancer-specific mortality were smaller than reductions in stage III-IV cancer. The correlation between the 2 end points was weaker for colorectal cancer, and their relationship for prostate cancer was unclear. Stage III-IV cancer incidence is unlikely to be a suitable alternative end point to cancer-specific mortality in screening trials for breast, colorectal, and prostate cancers.

Based on results presented, cancer stage end points are an inadequate alternative for mortality end points in clinical trials of screening with multicancer early detection tests. Many studies showed a statistically significant change in one end point but not the other. Among the 5 cancer types evaluated, the correlation and degree of correspondence between reductions in incidence of stage III-IV cancer and cancer mortality were heterogeneous. Thus, extrapolating from screening effects on late-stage cancer to screening effects on cancer mortality for the various cancer types targeted by multicancer early detection tests is likely to be invalid. 12 , 13 Pancreatic cancer is targeted by some multicancer tests, but has poor survival even at early stages, which could lead to poor correspondence between stage and mortality end points. 14 The use of stage end points for multicancer screening trials may overestimate effects on cancer mortality to differing degrees, depending on the distribution of cancer types detected.

Neither stage IV cancer incidence nor stage shift appeared to perform better than incidence of stage III-IV cancer as an alternative end point for cancer mortality. Statistical power is reduced when using only stage IV cancer, and shifting cases from stage IV to III may not prevent cancer mortality. For stage shift, more than 50% of trials showed statistically significant stage shift but no reduction in cancer mortality. Stage shift is influenced by the number of stage I-II cancer diagnoses, and therefore by overdiagnosis and length bias, and is a poor metric for screening efficacy. 15

Allowing longer follow-up improved correlation between stage and mortality end points for colorectal and prostate cancers. The relevance of this observation for the choice of end points in RCTs of cancer screening is unclear, because alternative end points are often used to complete trials more quickly and screening effects on stage III-IV cancer earlier in follow-up were not generally indicative of long-term effects on cancer mortality. The differences observed across cancer types may be partly due to the duration of follow-up, which limits the ability to observe mortality reductions, particularly for more slowly progressing cancer types.

The included RCTs were heterogeneous. The calendar period, length of follow-up, length of screening, number of screens, and other aspects of the included clinical trials varied, and screening modalities often varied within a cancer type. Participant characteristics, including the rate of competing causes of death, also varied across RCTs. Heterogeneity across trials can facilitate a more complete assessment in comparing end points as long as the individual trials are not so disparate that they cannot be compared.

The results of this study are not applicable to cancer treatment. This analysis did not rely on formal methods for validation of surrogate end points, which were developed for RCTs of cancer treatment. 16

This study had several limitations. First, the sample size for each cancer type was small because the analysis was limited to completed clinical trials that met the study’s inclusion criteria. Results might have differed if additional RCTs were available for analysis. Second, the study did not account for sampling variability in estimated effects on late-stage cancer and cancer mortality. The included clinical trials had different numbers of participants and outcomes, contributing to differences in precision for different outcomes, but were weighted equally in analyses. The estimates of the association between effects on late-stage cancer and cancer mortality across studies did not account for the fact that effects on both outcomes were estimated and subject to sampling variability. Therefore, the estimated regression models may understate uncertainty in the results and may overstate the association between reduced incidence of late-stage cancer and reduced cancer mortality.

Third, percentages of participants were used to quantify screening effects on late-stage cancer incidence and cancer mortality. This assumes equal lengths of follow-up between study groups and that no participants were lost to follow-up. The second assumption may be invalid, particularly in clinical trials with longer-term follow-up. Fourth, some correlation may have been induced by the 3-group RCTs (one ovarian and one colorectal cancer study in the primary analysis) for which the same control group was compared to each intervention.

Fifth, the exclusion of cancers with unknown stage may have affected the results. Sixth, this study did not account for differences across trials in number of participants, number of outcomes, or follow-up time. The influence of these aspects on the study of alternative end points may be best examined by analysis of individual-level data rather than meta-analysis. Seventh, observations from randomized clinical trials of screening for individual cancers may not apply to multicancer screening.

In randomized clinical trials of cancer screening, incidence of late-stage cancer may be a suitable alternative end point to cancer-specific mortality for some cancer types, but is not suitable for others. These results have implications for clinical trials of multicancer screening tests.

Accepted for Publication: March 19, 2024.

Published Online: April 7, 2024. doi:10.1001/jama.2024.5814

Corresponding Author: Hilary A. Robbins, PhD, MHS, MSPH, Genomic Epidemiology Branch, International Agency for Research on Cancer, 25 Avenue Tony Garnier, 69366 Lyon CEDEX 07, France ( [email protected] ).

Author Contributions: Dr Feng had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Feng, Zahed, and Onwuka contributed equally.

Concept and design: Onwuka, Callister, Johansson, Robbins.

Acquisition, analysis, or interpretation of data: Feng, Zahed, Onwuka, Etzioni, Robbins.

Drafting of the manuscript: Johansson, Robbins.

Critical review of the manuscript for important intellectual content: All authors.

Statistical analysis: Feng, Zahed, Onwuka, Robbins.

Obtained funding: Johansson.

Administrative, technical, or material support: Johansson.

Supervision: Robbins.

Other - Manuscript writing and revision: Etzioni.

Conflict of Interest Disclosures: None reported.

Disclaimer: Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy, or views of the International Agency for Research on Cancer/World Health Organization.

Meeting Presentation: Preliminary results from this study were presented at the International Cancer Screening Network conference i; June 2023; Torino, Italy; and the study was presented the American Association for Cancer Research Annual Meeting; April 7, 2024; San Diego, California.

Data Sharing Statement: See Supplement 2 .

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Ovarian cancer

Ursula a. matulonis.

1 Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA.

Anil K. Sood

2 Department of Gynecologic Oncology and Reproductive Medicine, and Center for RNA Interference and Non-Coding RNA, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Lesley Fallowfield

3 Sussex Health Outcomes Research and Education in Cancer (SHORE-C), Brighton and Sussex Medical School, University of Sussex, Falmer, East Sussex, UK.

Brooke E. Howitt

4 Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA.

Jalid Sehouli

5 Charité Universitaetsmedizin Berlin Charité Campus Virchow-Klinikum, Berlin, Germany.

Beth Y. Karlan

6 Women’s Cancer Program, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Author contributions

Ovarian cancer is not a single disease and can be subdivided into at least five different histological subtypes that have different identifiable risk factors, cells of origin, molecular compositions, clinical features and treatments. Ovarian cancer is a global problem, is typically diagnosed at a late stage and has no effective screening strategy. Standard treatments for newly diagnosed cancer consist of cytoreductive surgery and platinum-based chemotherapy. In recurrent cancer, chemotherapy, anti-angiogenic agents and poly(ADP-ribose) polymerase inhibitors are used, and immunological therapies are currently being tested. High-grade serous carcinoma (HGSC) is the most commonly diagnosed form of ovarian cancer and at diagnosis is typically very responsive to platinum-based chemotherapy. However, in addition to the other histologies, HGSCs frequently relapse and become increasingly resistant to chemotherapy. Consequently, understanding the mechanisms underlying platinum resistance and finding ways to overcome them are active areas of study in ovarian cancer. Substantial progress has been made in identifying genes that are associated with a high risk of ovarian cancer (such as BRCA1 and BRCA2 ), as well as a precursor lesion of HGSC called serous tubal intraepithelial carcinoma, which holds promise for identifying individuals at high risk of developing the disease and for developing prevention strategies.

Although once considered a single entity, ovarian cancer can be subdivided into different histological subtypes that have different identifiable risk factors, cells of origin, molecular compositions, clinical features and treatments. These histological subtypes include epithelial cancers that account for ~90% of ovarian cancers and include serous, endometrioid, clear-cell and mucinous carcinomas ( FIG. 1 ; TABLE 1 ). Of these types, high-grade serous carcinoma (HGSC) is the most commonly diagnosed. Histologically and clinically, low-grade endometrioid carcinoma and low-grade serous carcinoma (LGSC) are different compared with their high-grade counterparts; HGSC is similar to high-grade endometrioid carcinoma 1 – 3 . Other rarer histologies include small-cell carcinoma (an aggressive cancer that predominantly occurs in younger women, with a median age at diagnosis of 25 years), which has an uncertain tissue origin, and carcinosarcoma (also an aggressive cancer) 4 , 5 . Nonepithelial ovarian cancers, including germ-cell tumours and sex cord stromal tumours, which account for ~10% of ovarian cancers, are not discussed in this Primer.

a | High-grade serous carcinoma (HGSC) is characterized by severe nuclear atypia, high nuclear-to-cytoplasmic ratio and abundant mitoses. Papillary architecture (arrow) is also often present. b | Serous tubal intraepithelial carcinoma (STIC) lesions share the same morphological features as HGSC, with severe atypia, mitoses and lack of polarity. STIC lesions are thought to be precursors for HGSC. c | Low-grade serous carcinoma (LGSC) shows papillary architecture, but only mild nuclear atypia and a lower nuclear-to-cytoplasmic ratio. d | Clear-cell carcinoma is characterized by large atypical tumour cells with frequent clearing of the cytoplasm and stromal hyalinization (arrow). e | Endometrioid adenocarcinoma is characterized by gland formation that recapitulates endometrial glands and is graded based on cellular architecture and nuclear atypia. f | Mucinous adenocarcinoma shows mucin-filled tumour cells, with frequent goblet cell forms present (arrow).

Characteristics of ovarian cancer by histology, genomic characteristics and active therapies

Some ovarian cancers originate from sites outside of the ovary; for example, many ovarian HGSCs probably originate in the fallopian tube 6 and some subsets of ovarian cancer have been shown to arise from the peritoneum 7 . In addition, clear-cell and endometrioid carcinomas can originate from endometrial tissue located outside the uterus (endometriosis). On the basis of the new WHO classification, most of these types of ovarian cancer will now be reclassified as ‘ovarian or tubal cancers’ (REF. 8 ). Indeed, information about precursor sites of ovarian cancer has enabled the investigation of new primary prevention strategies, such as risk-reducing and opportunistic salpingectomy (surgical removal of the fallopian tube) 6 . This increased understanding of the biology underlying ovarian cancer has also translated to changes in clinical research; clinical trials are now increasingly focusing eligibility requirements on the basis of ovarian cancer histology.

Effective screening strategies for the early detection of ovarian cancer do not exist, but individuals at high risk of developing ovarian cancer, such as those with germline mutations in BRCA1 or BRCA2 (which encode proteins involved in the repair of DNA damage via homologous recombination) or other genes associated with a high risk of developing ovarian cancer can be identified. For these individuals, strategies to reduce the risk of ovarian cancer have been implemented through risk-reducing surgery, such as bilateral salpingo-oophorectomy (removal of the ovaries and the fallopian tubes). Screening strategies in women with an average risk of developing ovarian cancer have primarily focused on the biomarker CA125 (also known as mucin 16) and the use of transvaginal ultrasonography. Combinations of these screening modalities have shown success in detecting early-stage cancers, but have not yet demonstrated definitive improvements in patient mortality 9 , 10 .

The most active therapeutic agents against newly diagnosed ovarian cancer are platinum analogues (either cisplatin or carboplatin), with the addition of a taxane (either paclitaxel or docetaxel) 11 – 15 . Treatment paradigms for first-line management of newly diagnosed ovarian cancer include either primary surgical cytoreduction (to debulk tumours) followed by combination platinum-based chemotherapy or neoadjuvant chemotherapy (NACT; the administration of chemotherapy before surgery) followed by interval surgical cytoreduction and additional chemotherapy after surgery. Recurrence of cancer after initial platinum-based chemotherapy is very common for women diagnosed with advanced-stage cancer; the most difficult issue in the treatment of cancer in these women is the eventual development of platinum resistance. Advances in new therapeutics for recurrent ovarian cancer treatment include angiogenesis inhibitors, poly(ADP-ribose) polymerase (PARP) inhibitors (which block the repair of DNA damage) and immunotherapy agents. Strategies using PARP inhibitors as part of the first-line treatment, as well as combinations of these therapies for the treatment of both newly diagnosed and recurrent ovarian cancer, are underway. Overall, the treatment of ovarian cancer based on the distinct genomic make-up of the individual histological subtypes of ovarian cancer is evolving. This Primer reviews the epidemiology and known risk factors associated with epithelial ovarian cancer, in addition to tumour molecular biology, diagnostic and prevention approaches and management of both newly diagnosed and recurrent cancer. This Primer also discusses patient quality of life and concludes with the examination of the future outlook for ovarian cancer, including new prevention and screening approaches and promising new therapeutic advances.

Epidemiology

Incidence and mortality.

Globally, 225,500 new cases of ovarian cancer are diagnosed each year, with 140,200 cancer-specific deaths 16 – 18 . Incidence and survival rates vary by country; Russia and the United Kingdom have the highest rates of ovarian cancer, whereas China has the lowest rates 19 , 20 . In the United States, approximately 22,280 new cases occur annually and the projected number of deaths for 2016 is 14,240 (REF. 16 ). Interestingly, the annual incidence of ovarian cancer reduced by 1.09% for women <65 years of age and by 0.95% for women ≥65 years of age between 1998 and 2008 (REF. 21 ), which might have been influenced by the changing pattern of hormonal therapy prescriptions; reduced risk of ovarian cancer coincided with the announcement of causal association between ovarian cancer and the use of hormone replacement therapy and, as such, fewer prescriptions were written 21 .

Over the past decade, minimal improvement in mortality has been observed 17 , 18 . The US Surveillance, Epidemiology, and End Results database reports that overall survival for all patients with ovarian cancer is 45.6%, but this varies greatly based on stage at initial diagnosis 22 ; 5-year overall survival in patients with stage I cancer is 92.1% but is 25% for patients with stage III and stage IV cancer 16 , 22 .

Risk factors

Several factors can increase the risk of developing ovarian cancer, including genetic factors, age, postmenopausal hormonal therapy use, infertility and nulliparity.

A range of genetic factors are associated with an increased risk of developing ovarian cancer ( TABLE 2 ). Germline BRCA1 and BRCA2 mutations are the most significant known genetic risk factors for ovarian cancer and either mutation is found in up to 17% of patients 23 , 24 . Moreover, mutations in BRCA increase the risk of other cancers — such as breast cancer ( BRCA1 and BRCA2 ), pancreatic cancer ( BRCA2 ), prostate cancer ( BRCA2 ), melanoma ( BRCA2 ) and, possibly, serous endometrial cancer ( BRCA1 ) — and inheritance of these genes has been extensively studied 25 – 27 . Most subtypes of epithelial ovarian cancer are associated with germline BRCA mutations, but HGSCs are the most common 25 , 26 and mucinous subtypes are rarely associated. Survival is improved for women with ovarian cancer carrying germline BRCA mutations compared with women who have ovarian cancer but are wild type for BRCA1 and BRCA2 (REF. 27 ). Germline BRCA2 mutations are associated with increased overall survival compared with germline BRCA1 mutations, probably because BRCA2 results in enhanced platinum sensitivity and thus greater killing of cancer cells than BRCA1 (REFS 27 , 28 ). Both the location of the BRCA mutation within the gene and the type of mutation might also influence the risk of developing ovarian cancer; the risk of developing breast cancer or ovarian cancer, as well as the median age at diagnosis, can vary according to the mutation type, the nucleotide position and the functional consequence of the mutation in patients with germline BRCA1 or BRCA2 mutations 29 . Besides BRCA1 and BRCA2 , other germline mutations in genes involved in DNA repair can increase the risk of developing ovarian cancer, including genes that are part of the Fanconi anaemia–BRCA pathway, such as RAD51C , RAD51D , BRIP1 , BARD1 and PALB2 (REFS 26 , 30 – 33 ) ( TABLE 2 ). Inherited mutations in other genes involved in DNA repair, such as CHEK2 , MRE11A , RAD50 , ATM and TP53 , might also increase the risk of developing ovarian cancer 26 , 30 , 31 .

Functions of commonly mutated inherited genes associated with increased risk of ovarian cancer *

ssDNA, single-stranded DNA.

Other inherited disorders, such as Lynch syndrome, can increase the risk of ovarian cancer. Lynch syndrome is associated with colorectal, endometrial and ovarian cancers, but can also be associated with cancers of the urinary tract, stomach, small intestine and biliary tract. The syndrome is characterized by inheritance of a germline mutation in genes of the DNA mismatch repair system — namely, MLH1 , PMS2 , MSH2 or MSH6 , which are mutated at different frequencies 34 – 36 . Patients with Lynch syndrome-associated ovarian cancer have a mean age at presentation of 48 years (compared with a median age of ~68 years in those without Lynch syndrome), with ~50% of patients having stage I cancer. In addition, endometrioid and clear-cell carcinomas are more common in patients with Lynch syndrome than would be predicted for sporadic ovarian cancer 34 . Even though both the BRCA and the DNA mismatch repair pathways are involved in DNA repair, the specific mechanisms that underlie why cancers arise in specific organs associated with these inherited mutated genes are unknown.

Oral contraceptives and hormone replacement therapy.

The use of oral contraceptives has been shown to reduce the risk of developing ovarian cancer in individuals with a germline BRCA1 mutation, as well as in those without a genetic predisposition 37 , 38 . One meta-analysis showed a lifetime reduction of 0.54% for ovarian cancer with the use of oral contraceptives for an average of 5 years 38 , 39 . Interestingly, an analysis from the Ovarian Cancer Cohort Consortium (including data from 21 studies encompassing 1.3 million women and 5,584 ovarian cancers) showed that oral contraceptive use was associated with reduction in serous, endometrioid and clear-cell carcinomas, but not mucinous carcinomas 40 . The relative oestrogen and progestin doses in oral contraceptives does not affect the incidence of ovarian cancer, but longer duration of oral contraceptive use is associated with reduced risk 41 . However, other meta-analyses have found insufficient evidence to recommend either for or against the use of oral contraceptives to prevent ovarian cancer, given their potential harm from adverse vascular events and minimal increase in other cancers (such as breast cancer) weighed against the potential for ovarian cancer risk reduction 41 .

Hormone replacement therapy has been shown to increase the risk of developing ovarian cancer in postmenopausal women; oestrogen-only therapy increased risk by 22% and the combined oestrogen and progesterone therapy increased risk by 10% 42 – 44 . However, a meta-analysis showed a similar increase in the risk of developing ovarian cancer, specifically, serous and endometrioid carcinomas, in menopausal women using hormone replacement therapy, regardless of whether the therapy contained oestrogen only or a combination of oestrogen and progesterone 45 . Others have confirmed this finding but have also shown a reduced risk of clear-cell cancer in women using hormone replacement therapy 40 . Interestingly, in women diagnosed with ovarian cancer and who also have severe menopausal symptoms, the use of hormone replacement therapy seems to be safe and has no effect on overall survival 46 . Thus, the use of hormone replacement therapy can be considered if patients are having profound menopausal symptoms 46 .

Reproductive factors.

Retrospective studies have identified several other factors that can influence the risk of ovarian cancer, such as parity, prior tubal ligation, salpingectomy and unilateral or bilateral oophorectomy (surgical removal of the ovary) 47 – 49 . Women who have given birth have a reduced risk of all subtypes of ovarian cancer compared with women who have not given birth, with the strongest risk reduction noted for clear-cell carcinomas. Unilateral oophorectomy is associated with a 30% reduction in the risk of ovarian cancer, which is not specific to the histological subtype. Bilateral oophorectomy is also effective in reducing the risk of ovarian cancer in women with a genetic predisposition. Interestingly, no women with a BRCA2 mutation and 1.1% with a BRCA1 mutation developed a primary peritoneal carcinoma following bilateral oophorectomy 48 , 50 . Tubal ligation and hysterectomy are also associated with a reduction in the risk of developing ovarian cancer; tubal ligation is associated with reduction in the risk of clear-cell and endometrioid carcinomas and hysterectomy is associated with reduction in the risk of clear-cell carcinoma 40 , 47 – 49 . In one study, reproductive risk factors, such as tubal ligation, parity of ≥2, endometriosis and younger age, were more strongly associated with the development of dominant ovarian tumours (that is, one ovarian tumour is at least twice as large as the tumour on the other ovary) than with non-dominant cancers, which are thought to arise in the fallopian tube and are mostly HGSCs 51 . In addition, endometriosis has been associated with endometrioid and clear-cell ovarian cancer, as well as low-grade cancers 40 . In women with germline BRCA mutations, tubal ligation and breastfeeding have similarly been identified as risk factors associated with a decreased risk of ovarian cancer 47 .

Additional factors.

Several studies have identified obesity as a possible risk factor for the development of postmenopausal ovarian cancer; one meta-analysis showed an ~13% increase in the risk of ovarian cancer in postmenopausal women with a 5 kg weight gain who did not use, or had low use of, hormone replacement therapy 52 . Moreover, obesity is associated with an increased risk of endometrioid and mucinous carcinomas, but not HGSCs 53 . However, conflicting data have been reported in other studies 40 . Obesity is also a risk for poor outcomes following diagnosis of ovarian cancer; women with obesity and LGSC, HGSC or endometrioid carcinoma have a worse outcome than non-obese women 54 . Meta-analyses have suggested a beneficial effect of regular physical activity on the risk of ovarian cancer, with a 30–60% reduction in risk in the most active women 55 .

Several studies have examined the association between dietary factors and the risk of developing ovarian cancer in the general population. Levels of milk consumption do not confer a significant risk of developing ovarian cancer, but one study has noted a trend that indicates an inverse association between the intake of skimmed milk and lactose in adulthood and risk of developing ovarian cancer 56 . Moreover, this study showed an inverse relationship between lactose intake and the risk of endometrioid carcinoma 56 . Studies have also assessed the association between other dietary factors, including vitamins and flavonoids and the risk of ovarian cancer. The intake of folate or vitamin A, vitamin C or vitamin E during adulthood, or intake of a specific diet (defined by dietary scores), does not alter the risk of ovarian cancer 57 , 58 . Interestingly, flavonoids and black tea might be associated with a reduced risk of ovarian cancer, but these require further study 59 .

Other lifestyle factors that might affect the risk of ovarian cancer include the use of talc powder (reviewed in REF. 60 ), medications such as NSAIDS and smoking. With respect to talc powder, results from case–control and prospective studies have been variable; one study has shown a modest increase in the risk of ovarian cancer, but other studies have shown no increase in risk with talc use 61 , 62 . Aspirin use was associated with a reduced risk of developing ovarian cancer, especially among women who took daily, low-dose aspirin, regardless of their age; the same associations were not shown for acetaminophen 63 . Regular aspirin use was associated with reduced risk of endometrioid and mucinous carcinomas and a significant reduction in the risk of serous carcinomas. However, no prospective trials testing aspirin for ovarian cancer risk reduction have been conducted. Non-aspirin NSAID use was associated with a trend that indicates a lower risk of ovarian cancer 63 , specifically, of serous carcinomas. Cigarette smoking was associated with a significantly lower risk of clear-cell carcinoma but an increased risk of mucinous carcinoma 40 .

Finally, data from the Nurse’s Health Study indicate that persistent depression — defined as meeting the definition of depression based on current and past questionnaires — might increase the risk of ovarian cancer compared with women who do not exhibit depressive symptoms 64 .

Mechanisms/pathophysiology

The Cancer Genome Atlas project, along with other projects that catalogue genetic mutations associated with cancer have produced important molecular data on the different histological subtypes of epithelial ovarian cancer 65 – 67 . These data, in turn, open the pathway to improved therapeutic, early detection and risk-reducing strategies. The recognition that ovarian cancer consists of histologically and molecularly distinct subtypes has influenced clinical trial design strategies and patient eligibility and has led to rational clinical management 68 , 69 ( TABLE 1 ).

Molecular alterations

The best-studied genetic alterations in ovarian cancers are those involved in DNA repair ( FIG. 2 ). Germline or somatic mutations in homologous recombination genes have been identified in approximately one-third of ovarian carcinomas, including both serous and non-serous histologies, and subtypes that were not previously believed to have characteristics of homologous recombination deficiency (clear-cell and endometrioid carcinomas, as well as carcinosarcoma). As mentioned previously, the commonly implicated inherited genes are BRCA1 , BRCA2 and BRIP1 , genes that are part of the Fanconi anaemia pathway ( RAD51C , RAD51D , BRIP1 , PALB2 and BARD1 ) and genes that are involved in DNA mismatch repair ( MSH2 , MSH6 , MLH1 and PMS2 ).

a | The double-stranded DNA break and homologous repair process begins with recognition and sensing of double-strand breaks (DSBs) by the meiotic recombination 11 homologue 1 (MRE11)–RAD50–Nijmegen breakage syndrome protein 1 (NBS1) (MRN) complex, which acts as an activation site for the serine-protein kinase ATM. ATM has a crucial role in DNA repair by coordinating homologous recombination. ATM phosphorylates the histone H2AX, which directly binds to mediator of DNA damage checkpoint protein 1 (MDC1) and NBS1 of the MRN complex, to enhance ATM binding. MDC1 phosphorylation results in a binding site for the E3 ubiquitin-protein ligase RING finger protein 8 (RNF8), which allows ubiquitin-mediated recruitment of downstream DNA damage response proteins, such as receptor-associated protein 80 (RAP80; encoded by UIMC1 ). RAP80 is an ubiquitin-interaction motif-containing protein that associates with the breast cancer type 1 susceptibility protein (BRCA1) complex through its interaction with Abraxas (encoded by FAM175A ); Abraxas is thought to function as a central adaptor protein and contains domains required for BRCA1 interactions. The RAP80–Abraxas complex is crucial for recruiting BRCA1 to the site of DNA repair. BRCA1 and BRCA2 function as scaffolds for other proteins involved in DNA repair. BRCA1-associated RING domain protein 1 (BARD1) and BRCA1-interacting protein 1 (BRIP1; also known as Fanconi anaemia group J protein) bind directly to BRCA1; BARD1 forms a heterodimer with BRCA1, which is essential for mutual stability. BRIP1 also binds to BRCA1 and is required for S phase checkpoint activation. Partner and localizer of BRCA2 (PALB2) helps BRCA1 and BRCA2 bind at sites of DNA damage and helps load RAD51 proteins on to the BRCA proteins; the DNA repair protein XRCC2 is one of the five paralogues of RAD51. Mutations in genes involved in homologous repair lead to defective DNA repair mechanisms, the accumulation of DSBs and an increase in the risk of developing ovarian tumours. b | DNA mismatch repair is mediated by the MutS protein homologue 2 (MSH) proteins, as well as the endonuclease PMS2 and proliferating cell nuclear antigen (PCNA). DNA mismatch repair processes are aberrant in ovarian cancer due to mutations in the genes encoding MutL protein homologue 1 (MLH1), MSH2, MSH6 and PMS2. MSH2 and MSH6 form a heterodimeric complex, which initially identifies mismatched bases and initiates DNA repair. Binding of this complex to the mismatched bases enables the recruitment of MLH1 and PMS2. PCNA attaches to the sites of base mismatch and helps to recruit and tether exonuclease 1 (EXO1; a member of the RAD2 exonuclease family) to the sites of DNA damage. EXO1 excises the mismatched bases, which are then repaired by DNA polymerase and DNA ligase.

Despite genomic data showing recurrent mutations in patients with ovarian cancer, some tumours, particularly the HGSC subtype, are genetically heterogeneous 65 , 67 , 70 — reflecting the underlying genomic complexity of this disease. For example, one study has demonstrated intratumour genomic heterogeneity in patients with newly diagnosed HGSC 70 .

HGSC has been extensively characterized both at the initial diagnosis of ovarian cancer and at disease recurrence after exposure to platinum-based chemotherapy.

TP53 is the most commonly mutated gene in HGSC 65 , 67 . TP53 mutations can be in-frame and frameshift insertions and deletions, as well as mis-sense or nonsense mutations 71 . TP53 mutations frequently occur in the region of the gene encoding the DNA-binding domain, but can also occur in regions encoding the non-DNA-binding domains. Tumours that lack TP53 mutations have signs of p53 dysfunction through a copy number gain of MDM2 or MDM4 , the gene products of which are involved in the regulation and degradation of p53 (REF. 71 ). Genomic analyses have revealed defects in homologous recombination in ~50% of analysed HGSCs 23 , 24 . Defective homologous recombination is associated with both germline and somatic BRCA mutations, as well as alterations in other DNA repair pathway genes 65 ( FIG. 2 ). BRCA1 is crucial for DNA repair, cell cycle checkpoint control, mitosis, remodelling of chromatin and transcriptional regulation; BRCA 2 is important in homologous recombination and DNA repair 72 . Hypermethylation of the BRCA1 promoter has also been shown in a substantial subset of HGSCs but does not influence overall survival and outcome 65 .

Additional recurrent molecular alterations identified in HGSC include defective Notch, phosphoinositide 3-kinase (PI3K), RAS–MEK and forkhead box protein M1 (FOXM1) signalling pathways, as well as a high level of somatic copy number alterations in the genes encoding proteins in these pathways 65 . Other mutated genes that play a part in the pathogenesis of HGSC and that could also serve as potential therapeutic targets for ovarian cancer include AURKA , ERBB3 , CDK2 , MTOR , BRD4 and MYC 65 , 73 , 74 . For example, one study showed that activity of the epigenetic transcription modulator, bromodomain-containing protein 4 (encoded by BRD4 ) is required for the proliferation and survival of HGSC cell lines 73 . In addition, ovarian cancer cells that are sensitive to BRD4 inhibition have a high expression of MYC , another important gene found altered in HGSC 73 .

HGSC has been further subdivided using data from gene expression profiling 75 , 76 . The Cancer Genome Atlas identified four subtypes of HGSC based on gene expression: differentiated, immunoreactive, mesenchymal and proliferative subtypes, which have differences in clinical outcome, although this has not been clinically useful for patient management 75 – 77 . Attempts to more-narrowly define the subgroups of HGSC have included integrated genomic analyses that incorporate multiple platforms. For example, a microRNA (miRNA)-regulated network was identified and associated with the mesenchymal subtype of HGSC and with poor clinical outcomes 78 . Some studies have used gene expression profiling to predict the prognosis of patients with advanced-stage HGSC, in addition to treatment resistance and response to platinum-based chemotherapy and PARP inhibitors. However, these studies relied on retrospective analyses, and prospective data from randomized trials are still needed to show usefulness of expression assays in subtyping patients 79 .

The level of molecular diversity of HGSC at the time of diagnosis, its evolution, change over time, the presence of few druggable driver mutations and the high rate of copy number alterations in genes of multiple signalling pathways characterize the genomic complexity of this cancer. Indeed, this molecular complexity provides insight into perhaps why the development of effective therapies for HGSC has been difficult to achieve.

Other epithelial subtypes.

The genomic landscapes of other histological subtypes of ovarian cancer have also been studied. Clear-cell carcinomas are complex at the genomic level and can have mutations in ARID1A , PIK3CA and PTEN 80 . BRAF and KRAS mutations are common in LGSCs 81 , 82 . In addition, LGSC mostly exhibits mutational stability such that the extent of tumour genetic evolution is low in this cancer type in each patient, but these tumours are typically more unresponsive to chemotherapy than HGSCs 83 .

High-grade endometrioid cancers have molecular similarities to HGSC ( TABLE 1 ). Ovarian cancers associated with endometriosis, such as clear-cell and endometrioid carcinomas, are associated with ARID1A mutations 1 , 84 . Low-grade endometrioid carcinomas can carry loss of PTEN and mutations in PIK3CA and KRAS . Mucinous carcinomas can carry KRAS mutations 85 . C>T transitions in an NpCpG trinucleotide context have been shown to be the predominant mutational signature of mucinous carcinomas, indicating deamination of methylcytosines 86 . Approximately half of mucinous carcinomas have mutations in TP53 , with other frequent mutations occurring in KRAS , BRAF , CDKN2A , RNF43 , ELF3 , GNAS , ERBB3 and KLF5 (REF. 86 ).

Hypercalcaemia-associated small-cell carcinomas are associated with somatic or germline mutations in SMARCA4 (REFS 4 , 87 ).

Precursor lesions

The distal fallopian tube has been identified as a precursor site of HGSCs in a substantial proportion of patients, owing to the presence of atypical tubal epithelial cells in women with BRCA1 or BRCA2 mutations. This site was identified with the discovery of serous tubal intraepithelial carcinoma (STIC) — an early lesion — during risk-reducing bilateral salpingo-oophorectomy in these women, with the presence of STICs in the fallopian tubes of women with advanced-stage ovarian cancer and with identification of precursors in the fallopian tube characterized by DNA damage and mutations in TP53 (REFS 6 , 88 – 94 ). STICs can be identified in 18–60% of cases of advanced-stage HGSCs 6 , 88 , 89 , 91 , 92 , 94 and up to 80% of early-stage HGSCs. However, STICs are not found in all patients with HGSCs, and alternative pathways for the pathogenesis of HGSC probably exist 95 . One study proposed a dualistic model for HGSC pathogenesis that incorporates the variables of the patient (for example, the presence of STIC, BRCA status, patient age and morphological features of HGSC) 93 . The study suggested two pathways of HGSC development based on differences in STIC frequency, tumour morphology and outcome, known as classic or SET (>50% solid, pseudoendometrioid or transitional) pathways. The classic pathway involves the presence of a STIC precursor and a longer timeframe from STIC to the development of HGSC. Conversely, the SET pathway typically occurs in younger women who have a lower STIC frequency and a higher level of responsiveness to chemotherapy and PARP inhibitors. The two pathways of HGSC development might have implications for the potential ineffectiveness of risk-reducing bilateral salpingo-oophorectomy for some high-risk patients.

Immune system and tumour microenvironment

Another developing field of research in ovarian cancer pathogenesis is the role of the immune system and the tumour microenvironment. Cytotoxic T cell infiltration in ovarian cancer has been shown to correlate with improvement in overall survival in several studies 96 , 97 . For example, antitumour immune responses composed of tumour-reactive T cells and tumour-specific antibodies can be detected in peripheral blood, ovarian cancer tissue and ascites 98 – 101 . Furthermore, cytotoxic T cell infiltration in ovarian tumours correlates with improvement in overall survival, as shown by several groups 96 , 97 .

Within the many components of the tumour microenvironment, angiogenesis has a crucial role in the pathogenesis of epithelial ovarian cancer, promoting tumour growth and metastasis 102 . Vascular endothelial growth factor (VEGF) is one of the most potent pro-angiogenic factors identified in ovarian cancer, with other pro-angiogenic factors also identified, including fibroblast growth factor, angiopoietins, endothelins, IL-6, IL-8, macrophage chemotactic proteins and platelet-derived growth factors 103 , 104 .

Chemotherapy resistance

HGSC and other high-grade ovarian cancer histologies, for example, high-grade endometrioid carcinoma, can be further analysed on the basis of platinum sensitivity. Platinum-sensitive ovarian cancers are defined as having a platinum-free interval (PFI; the time elapsed between the last dose of platinum-based chemotherapy and evidence of cancer progression) of ≥6 months, whereas platinum-resistant cancers have a PFI of <6 months. In patients with HGSC, one study showed that inactivation of genes by disruption of transcriptional units (gene breakage) can inactivate the tumour suppressors RB1 , NF1 , RAD51B and PTEN , which probably contributes to increasing chemotherapy and platinum resistance 67 . Upregulation of ABCB1 , which encodes the drug efflux pump multidrug resistance protein 1 (MDR1) leading to MDR1 overexpression, could also explain the mechanisms of platinum resistance. Moreover, germline or somatic mutations in BRCA1 or BRCA2 could lead to a favourable treatment response with improved responsiveness to chemotherapy 26 , 65 . The presence of BRCA reversion mutations (which restore the wild-type BRCA reading frame) could result in normal BRCA function and an increase in platinum resistance 67 , 105 . Amplification of the 19q12 locus, which includes CCNE1 (encoding cyclin E1, which is a cell cycle regulator), was associated with primary platinum-resistant and refractory ovarian cancers 67 . This leads to an abundance of cyclin E1, which subsequently activates the transcription of BRCA1 and BRCA2 , increasing the levels of the BRCA proteins and leading to platinum resistance 65 .

Diagnosis, screening and prevention

Clinical presentation..

Most women with ovarian cancer are diagnosed in later life, with a median age of diagnosis of 63 years 22 . Most women are symptomatic at disease presentation and have ascites (fluid in the peritoneal cavity) and gastrointestinal dysfunction (for example, constipation and/or bowel obstruction, diarrhoea, nausea, vomiting and gastrointestinal reflux). Other symptoms at initial presentation include abdominal bloating, abdominal and/or pelvic pain, fatigue and shortness of breath 106 . Respiratory symptoms can result from extensive intra-abdominal cancer with ascites, causing diaphragmatic pressure, pleural effusions and/or a pulmonary embolus.

Symptoms of ovarian cancer might be initially missed or attributed to other disease processes because they are general and nonspecific. Accordingly, diagnosis frequently occurs when the cancer has reached a late stage (either stage III or stage IV) because symptoms have become apparent and require intervention 106 , and/or the symptoms are more severe, indicative of extensive peritoneal carcinomatosis, ascites and possible cancerous involvement of the bowel. The combination of abdominal bloating, increased abdominal size and urinary symptoms has been found in 43% of patients with an eventual diagnosis of ovarian cancer, but only in 8% of patients not diagnosed with ovarian cancer 107 . Women presenting with severe or frequent symptoms and those of recent onset warrant further diagnostic investigation because of the association of these symptoms with ovarian masses 108 .

Importantly, these symptoms — and their late presentation — largely apply to those with HGSC. By contrast, histologies, such as clear-cell and small-cell carcinomas, can become symptomatic at an earlier stage. For example, hypercalcaemia can be the initial presentation of clear-cell or small-cell carcinomas. These tumour types are also associated with many of the same symptoms observed with more-advanced HGSC, such as abdominal distension, pelvic pressure and/or pain, as well as pressure of the ovarian mass on the bowel or urinary tract system. Most patients with clear-cell carcinoma present at an early stage and might present with symptoms related to pelvic pressure.

Diagnostic work-up.

In patients with indicative symptoms, diagnostic work-up includes physical examination of the patient, which consists of pelvic examination and rectovaginal examination, in addition to radiographic imaging (for example, trans vaginal ultrasonography, abdominal ultrasonography, CT ( FIG. 3 ), MRI and/or PET). The CA125 blood test can also be used in combination with other diagnostic tests for the detection of ovarian cancer. Laparoscopic surgery with removal of the mass is recommended 109 and will also give further information on the tumour histology. Results from diagnostic testing, especially trans vaginal ultrasonography, can provide information about the ovarian mass, such as size, location and level of mass complexity, which can help clinicians to determine the level of suspicion for cancer 110 . More-advanced cancer is associated with ascites and peritoneal carcinomatosis within the abdominal cavity; to confirm a diagnosis of ovarian cancer, a tissue biopsy must be performed.

a | Right and left pleural effusions. b | Peritoneal carcinomatosis. c | Large volume ascites and a peritoneal hepatic implant.

Pathological evaluation and tumour staging of ovarian cancer is based on surgical assessment of the cancer at initial diagnosis, including removal of lymph nodes, tissue biopsy and abdominal fluid, and uses the International Federation of Gynecology and Obstetrics (FIGO) staging system ( TABLE 3 ). The staging system has recently changed with acceptance of the common, Müllerian-derived, multicentric origin of ovarian, fallopian tube and peritoneal cancers and that these cancers should be grouped using one system 111 . The latest FIGO staging system has three other notable characteristics: stage IC tumours have been subdivided based on the mechanism underlying rupture of the ovarian capsule and the presence of malignant ascites (the presence of tumour cells in ascites), stage IIC has been eliminated and stage III has a clearer definition that encompasses the size of metastases as well as the presence of metastases to the lymph nodes. Moreover, stage III was reclassified to account for differences in the clinical outcomes in patients with metastases to the lymph nodes who do not have peritoneal carcinomatosis compared with patients with peritoneal carcinomatosis 112 , 113 . In addition, stage IV has been further divided into stage IVA and stage IVB. The FIGO staging system recommends that the primary tumour site (the ovary, fallopian tube or peritoneum) and the histological grade be stated in the operative report and/or the final pathology report 111 .

Staging of ovarian cancer

FIGO, International Federation of Gynecology and Obstetrics; TNM, TNM classification of malignant tumours. Reproduced with permission from REF. 220 , Elsevier.

Surgical staging of ovarian cancer by gynaecological oncologists has been shown to be superior to that performed by non-oncological (general) surgeons, as have patient outcomes 114 – 116 . Indeed, the issue with accurate staging is pertinent; one study found that only 54% of women with ovarian cancer received correct staging as determined by a gynaecological oncologist 117 . When patients are operated on by non-gynaecological oncologists, such as general surgeons or general gynaecologists, the diaphragm was not visualized in 86% of cases and the omentum was not biopsied in 68% of cases 117 , meaning cancer was commonly missed in the diaphragm, pelvic peritoneum, peritoneal fluid and omentum.

No current screening strategy has affected the survival of patients with ovarian cancer. Creation of a successful screening strategy for ovarian cancer is challenging because this is not a common disease and includes a range of histological subtypes, each with different biological and clinical properties. For example, patients with LGSC have substantially better overall prognoses than patients with more-aggressive, high-grade cancers and might require a different screening strategy 81 .

The CA125 blood test is not an effective screening test when used alone, given that CA125 levels are only increased in 50% of stage I ovarian cancers and can also be increased in benign disorders, such as uterine fibroids, ovarian cysts and other conditions such as liver disease and infections 118 , 119 . Increased levels of CA125 are most frequently observed in HGSC, with lower levels of CA125 in other non-serous subtypes 120 . The combination of the CA125 blood test and radiographic imaging, such as transvaginal ultrasonography, has been evaluated for use as a screening strategy. One of the largest studies to examine this combination was the PLCO Cancer Screening trial 121 , which enrolled 78,216 women 55–74 years of age. Women were randomly assigned into two groups of approximately equal size, to receive either annual screening (encompassing yearly CA125 tests for 6 years and transvaginal ultrasonography for 4 years) or usual care (no yearly CA125 or transvaginal ultrasound, but could have undergone bimanual examination with ovarian palpation). Ovarian cancer was diagnosed in 212 women (5.7 per 10,000 person-years) in the screening group and in 176 women (4.7 per 10,000 person-years) in the usual care group (rate ratio: 1.21; 95% CI: 0.99–1.48), and the stage distributions of cancer were similar for the two groups (stage III and stage IV cancers comprised almost 80% of cancers in both groups). In addition, no significant reduction in overall mortality was observed with screening (3.1 deaths per 10,000 women in the screening group and 2.6 deaths per 10,000 person-years in the usual care group; mortality rate ratio of 1.18 (95% CI: 0.82–1.71)).

Although the CA125 test alone as a screening marker has been deemed ineffective, the UKCTOCS study evaluated longitudinal measurements of CA125 levels for the screening of ovarian cancer in an algorithm termed ‘risk of ovarian cancer algorithm’ (ROCA) 10 . In one arm of this study, ROCA was the primary screening modality, with transvaginal ultrasonography used as a secondary screening measure based on CA125 levels. ROCA interpreted longitudinal CA125 data and triaged women to normal (annual screening), intermediate (repeat CA125 testing in 3 months) and increased risk (repeat CA125 testing and transvaginal ultrasonography in 6 weeks). In the normal-risk women, annual screening used transvaginal ultrasonography as the primary test, following which patients were subdivided into three groups based on the ultrasonography results: normal (annual screening), unsatisfactory (repeat in 3 months) and abnormal (scan with a senior ultrasonographer within 6 weeks). In this study, 202,638 women were randomly assigned into one of three groups (screening based on ROCA, ultrasonography alone or no screening) and were followed-up for a median period of 11.1 years 10 . The proportion of women diagnosed with ovarian cancer was similar between groups (0.6–0.7%), but lower stages (stage I–IIIA) of disease were in a higher proportion of patients in the ROCA-screened group than in those who were not screened ( P < 0.0001). However, there was no difference between patients in the ROCA group and those who received transvaginal ultrasonography ( P = 0.57). Mortality reduction was not significant between any of the groups, thus, the ROCA test cannot currently be recommended as a screening strategy for ovarian cancer; further follow-up of this study is necessary to understand the long-term potential of this screening strategy.

Human epididymis protein 4 (HE4; also known as WFDC2) has also been tested as a potential biomarker for use in ovarian cancer screening 122 . A systematic review reported better sensitivity, specificity and likelihood ratios for HE4 compared with CA125, but this has not yet been analysed within a screening strategy 123 . The use of other novel markers for ovarian cancer screening are under investigation, including, for example, DNA analysis of uterine lavages or Pap smears for TP53 mutations 124 .

Salpingectomy has gained favour as a prevention technique based on the presence of precursor lesions in the fallopian tubes of some women with ovarian cancer, as discussed above. However, no randomized prospective studies have been performed to determine the benefit or evidence of risk reduction following salpingectomy 125 – 127 .

The Society of Gynecologic Oncology guidelines and recommendations for the prevention of ovarian cancer, in addition to others, recommend that all women with invasive ovarian cancer (regardless of family history, histology or age) should undergo genetic testing and genetic counselling. The purpose of this testing is to assess women for the presence of a high-risk gene that could convey increased risk for the individual and their family members, as well as having implications for outcome and therapeutic management 128 , 129 . Moreover, the Society of Gynecologic Oncology guidelines recommend performing risk-reducing bilateral salpingo-oophorectomy in women 35–40 years of age who are at increased genetic risk (that is, the presence of germline mutations in high-risk genes) of developing ovarian cancer, as well as individualizing the age at which women undergo risk-reducing surgery 128 . In addition, the Society of Gynecologic Oncology guidelines mandate and recommend microscopic examination of the entire ovary and fallopian tube following risk-reducing bilateral salpingo-oophorectomy in high-risk women, to rule out early invasive cancers 88 – 90 , 128 .

The annual risk of ovarian cancer in individuals of specific age groups with germline BRCA mutations and intact ovaries has been estimated to help guide clinicians and patients about appropriate timing of the risk-reducing bilateral salpingo-oophorectomy 130 . In one study, risk-reducing salpingo-oophorectomy reduced the risk of ovarian cancer in women with BRCA mutations by 80%. The timing of risk-reducing bilateral salpingo-oophorectomy is important, as performing surgery in women <45 years of age has been associated with an increased risk of cardiovascular disease, osteoporosis and osteopenia; oestrogen replacement should be considered in these patients (if they have not had breast cancer), but the benefits and potential risks or optimal duration of oestrogen therapy have not been determined 128 .

Variants of unknown importance occur in BRCA1 and BRCA2 , as well as other high-risk genes implicated in ovarian cancer, but the effects of these variants on ovarian tumorigenesis are currently unknown 131 . Variants of unknown importance represent dilemmas for women who are diagnosed with them, as these variants carry an unknown cancer risk, meaning patients and their family members cannot be accurately counselled about risk reduction and preventive surgeries.

At initial diagnosis, patients are faced with the challenge of accessing appropriate medical treatment and quickly making complex decisions about their care. The choice of physician can affect outcomes 116 , 132 , as can adherence to the guidelines for the standard of care 133 , 134 ; surgery performed by a gynaecological oncologist results in superior outcomes and survival than surgery performed by a non-gynaecological oncologist, such as a general surgeon.

The primary aim of treatment for ovarian cancer is to maximize cancer control and to palliate disease symptoms for as long as possible. Surgery performed by a gynaecological oncologist is the main treatment for most patients with ovarian cancer. The extent of surgery is determined by the stage of cancer and patient factors; for example, women with more-advanced cancer might undergo bilateral oophorectomy, but women with low-risk, stage I cancer (such as mucinous histologies) and young women who wish to preserve fertility might undergo unilateral oophorectomy of the affected ovary only. Surgical cytoreduction results are frequently referred to as suboptimal (that is, any focus is ≥1 cm in size (R2 resection)), optimal (that is, <1 cm residual cancer (R1 resection)) or no evidence of residual macroscopic disease (R0 resection). New studies only define optimal surgical results if macroscopic complete resection of the cancer has been achieved. Patients with macroscopic complete resection (R0) following surgery have significant improvements in outcomes, such as in overall survival and progression-free survival (PFS), compared with patients with remaining postoperative visible disease 135 , 136 . For example, in one study (GOG 182), patients with stage III or stage IV ovarian cancer with optimal cytoreduction, R1 had a worse prognosis than patients with no evidence of residual macroscopic disease (R0) following platinum-based chemotherapy. Nevertheless, patients with optimal cytoreduction have a significantly better median PFS and overall survival than patients with suboptimal cytoreduction 135 – 137 .

Newly diagnosed ovarian cancer

Primary surgery..

The primary treatment for women with newly diagnosed ovarian cancer is primary surgical cytoreduction ( FIG. 4 ). The primary goal of surgery is to achieve macroscopic complete resection of disseminated carcinomatosis, often involving complex surgical techniques, including en bloc resection of the bowel, uterus and adnexal masses, as well as peritonectomy. In some cases, colonoscopy and/or upper endoscopy might be required to rule out the possibility of a primary gastrointestinal cancer rather than a primary ovarian cancer. Systematic pelvic and para-aortic lymph node dissection is also necessary in patients with high-risk early-stage ovarian cancer or in patients with stage II and stage IIIA disease, as nodal metastases signify a higher stage of disease, poorer prognosis and the need for different treatment strategies. Defining the best surgical approach and determining the appropriateness of surgery before the administration of chemotherapy versus NACT are crucial. If NACT is to be administered, a biopsy is needed to confirm pathology consistent with an ovarian, tubal or peritoneal primary cancer, before chemotherapy can be commenced.

a | Surgical removal of ovarian tumours in a patient 63 years of age with bilateral advanced-stage high-grade serous carcinoma (HGSC). b | A patient with a bilateral HGSC and peritoneal carcinomatosis with involvement of intestinal surfaces. c | Surgical removal of a serosal tumour implant located on the surface of the liver.

Adjuvant chemotherapy.

Recommendations for the use of adjuvant chemotherapy using platinum-based chemotherapy for patients with early-stage ovarian cancer depend on the cancer stage, grade and histology. Many patients with grade I, stage I cancer are not treated with chemotherapy post-surgery, but those with higher grades (grade II or above) and/or specific histologies (such as HGSC and clear-cell carcinoma) undergo adjuvant systemic platinum-based chemotherapy 138 . Indeed, several first-line adjuvant systemic chemotherapy strategies have led to an improvement in overall survival for patients with newly diagnosed, advanced-stage ovarian cancer, including the addition of paclitaxel to platinum-based chemotherapy agents, the use of intra peritoneal cisplatin in patients with optimally cytoreduced cancer and the incorporation of dose-dense weekly paclitaxel treatment instead of administration every 3 weeks 10 , 139 – 141 .

Studies have examined the efficacy of different combinatorial treatments to optimize adjuvant chemotherapy, including combinations of platinum-based chemotherapy agents (cisplatin and carboplatin), taxanes (paclitaxel and docetaxel), anti-angiogenic agents (bevacizumab, nintedanib, trebananib and pazopanib) and other drugs (pegylated liposomal doxorubicin and gemcitabine) ( TABLE 4 ).

Key clinical trials in newly diagnosed ovarian cancer

IP intraperitoneal; IV intravenous; NACT, neoadjuvant chemotherapy; PFS progression-free survival.

In 2011, the European Medicines Agency (EMA) approved the use of bevacizumab as an addition to carboplatin and paclitaxel chemotherapy and maintenance therapy in patients with newly diagnosed, advanced-stage ovarian cancer, based on the improvement in PFS in the ICON7 and GOG 218 studies ( TABLE 4 ). A retrospective analysis of the ICON7 study of patients with sub optimally cytoreduced stage IIIC or stage IV cancer showed an overall survival benefit with the addition of bevacizumab to a carboplatin and paclitaxel backbone, but no improvement in overall survival was observed in the intent-to-treat population of patients who were entered into either the ICON7 or the GOG 218 studies 142 – 144 . Despite being available in Europe, bevacizumab has not been approved for patients in the United States, making collaborative trial design for both newly diagnosed and recurrent ovarian cancer challenging.

NACT consisting of carboplatin and paclitaxel for three cycles is then followed by interval (that is, between rounds of chemotherapy) surgical cytoreduction and additional chemotherapy post-surgery for a total of six cycles of chemotherapy. NACT is a possible treatment alternative to upfront surgical cytoreduction for ovarian cancer, especially for patients who are too ill for initial surgery or if the cancer burden is too extensive to allow macroscopic complete resection. Two trials have demonstrated comparable outcomes for first-line surgery with adjuvant chemotherapy compared with NACT followed by surgery and postoperative chemotherapy, with less morbidity and mortality but similar outcomes in PFS and overall survival in the group that received NACT 145 , 146 . Data from the first study indicated that NACT followed by interval cytoreductive surgery is not inferior to primary cytoreductive surgery followed by chemotherapy and no significant difference in PFS (12 months) or overall survival (29–30 months) was found between the groups 145 . The second study (CHORUS) in patients with advanced stage III or stage IV cancer randomly assigned to either primary cytoreductive surgery followed by chemotherapy (consisting of either carboplatin and paclitaxel or carboplatin alone) or NACT (three cycles) followed by cytoreductive surgery and three more cycles of chemotherapy (carboplatin and paclitaxel or carboplatin alone) showed a non-significant difference in overall survival between the group that received NACT (24.1 months) and those that received upfront surgery (22.6 months; hazard ratio (HR): 0.87; 95% CI: 0.72–1.05) 146 . In addition, PFS was similar for both groups: 12 months in the NACT group compared with 10.7 months for the primary surgery group (HR: 0.91; 95% CI: 0.76–1.09). However, the number of postoperative deaths was lower in the NACT group than in the upfront surgery group 146 .

Some medical centres are testing the use of surgical algorithms with diagnostic laparoscopy to determine tumour resectability and to identify patients who are appropriate for first-line cytoreductive surgery versus those suitable for NACT; however, no validated preoperative instrument has currently been established 147 . Controversy persists over the identification of the most appropriate candidates for NACT and whether NACT induces upfront platinum resistance. Accordingly, a general consensus regarding the equivalence of NACT followed by surgery and upfront surgery followed by adjuvant chemotherapy is lacking 148 . In addition, some groups have argued that the overall survival and PFS outcomes used in the aforementioned randomized trials of NACT versus upfront surgical cytoreduction 145 , 146 are inferior to other trials and that inferior complete resection rates were observed in the primary surgery control group, particularly in the CHORUS study 146 , 149 .

Maintenance therapy following NACT.

Aims of maintenance therapy are to prolong a clinically meaningful survival end point, such as PFS, and to also preserve the quality of life of the patient. The use of maintenance therapy following platinum-based chemotherapy has been investigated and reviewed 150 , 151 . Monthly paclitaxel treatment (for a duration of either 3 months or 12 months) has been assessed in patients with ovarian cancer following completion of NACT 152 ; no benefit in overall survival was observed with paclitaxel treatment for 12 months compared with treatment for 3 months, but PFS was longer in the 12-month versus 3-month groups. However, owing to the risk of developing adverse effects with continuation of monthly paclitaxel for 12 months (for example, alopecia and peripheral neuropathy), the use of paclitaxel for maintenance therapy after platinum-based chemotherapy is not commonly used; currently, the standard of care following completion of platinum-based chemotherapy is observation alone 138 .

Pazopanib has also been studied for use in maintenance therapy, resulting in an increase in PFS but no improvement in overall survival 153 . Pazopanib is also associated with a significant toxicity profile, such as fatigue, gastrointestinal toxicities (such as nausea and/or diarrhoea), hypertension and myelosuppression 153 . Bevacizumab is approved in Europe as maintenance therapy following initial platinum with taxane and bevacizumab chemotherapy based on GOG 218 and ICON7 results.

Recurrent disease

Monitoring for recurrence..

>80% of patients with advanced-stage ovarian cancer will experience recurrence of their primary cancer. Recurrent ovarian cancer is generally incurable, but rare exceptions to this exist, such as patients with isolated metastatic cancer in whom the disease can be fully resected after secondary cytoreductive surgery or treatment with localized radiotherapy.

Many patients with recurrent ovarian cancer are asymptomatic at the time of their relapse and, as such, recurrent ovarian cancer is most frequently detected by increased levels of CA125; the sensitivity and specificity of this test for recurrence detection range from ~60% to 94% and ~91% to 100%, respectively 154 , 155 . CA125 levels are monitored following completion of the initial treatment, but guidelines regarding the frequency of CA125 and clinical monitoring of patients with ovarian cancer change with different guidelines 154 , 155 . The Society of Gynecologic Oncology recommends a review of clinical symptoms and a physical examination of patients following the initial treatment for ovarian cancer every 3 months with an optional CA125 test and radiographic imaging (CT, PET or MRI) in patients with suspected recurrence (such as those with an increased level of CA125, findings on clinical examination and/or suspicious symptoms) 155 . Conversely, the National Comprehensive Cancer Network guidelines recommend follow-up visits every 2–4 months for 2 years after treatment, including the measurement of CA125 levels; radiographic imaging should be done if recurrence of ovarian cancer is suspected 138 .

The limitations of disease detection and the role of CA125 should be discussed with all patients who have completed therapy. Sufficient clinical information should be available to make a definitive diagnosis of cancer recurrence, including increased levels of CA125, radiographic evidence of cancer, physical examination evidence, symptoms related to the disease burden and/or a positive biopsy. Increased levels of CA125 in the absence of other clinical indicators are generally not a reason to initiate treatment, unless the patient is enrolling into a clinical trial. Some patients might not have increased levels of CA125 at either initial diagnosis or with recurrence of ovarian cancer, which makes the CA125 test less useful when used for recurrent cancer. In these patients, alternative biomarkers, such as HE4, and/or the use of interval radiographic imaging might be of use for monitoring of recurrent cancer, but this needs further evaluation. Although used, measurement of CA125 levels for the early detection of recurrence has not been shown to improve outcomes in patients with recurrent disease. In one study, no improvement in patient survival was observed following early treatment of recurrent ovarian cancer (diagnosed on the basis of increased levels of CA125 in the absence of clinical symptoms) compared with delayed treatment (until the manifestation of clinical symptoms of disease progression) 156 . This trial has been criticized because of the long period of time needed to accrue patients (almost 10 years), the lack of predefined subsequent therapies and the lack of access to newer treatments (such as bevacizumab) and other drugs through clinical trials, or to the potential use of secondary cytoreductive surgery 157 .

Treatment options

Following definitive diagnosis of recurrent ovarian cancer, several factors should be considered before deciding appropriate treatment options, including the level of disease burden (such as symptomatic versus asymptomatic cancer and the location of metastases), the presence of complications from previous therapies (such as peripheral neuropathy, pancytopaenias and/or drug hypersensitivity reactions), the availability of clinical trials, the degree of platinum sensitivity, end-organ function, performance status of the patient and, also, wishes and goals of the patient. Treatment of recurrent ovarian cancer has been made more complex with oncologists factoring in tumour histology and underlying BRCA status, given the recent US FDA and EMA approvals of the PARP inhibitor olaparib. Secondary surgical cytoreduction can be considered for patients with a long PFI with recurrent cancer that is limited and isolated (for example, cancer in one location such as the spleen or an isolated lymph node), although meta-analyses did not demonstrate any benefit of this surgery 158 . One randomized trial (GOG 213) investigating the efficacy of secondary surgical cytoreduction for the treatment of platinum-sensitive recurrent ovarian cancer is underway 159 . The German AGO Study Group has demonstrated a potential survival benefit only in patients with no postoperative residual cancer following secondary cytoreductive surgery 160 . This study also established a preoperative clinical score to predict the target population with the best outcomes following secondary cytoreductive surgery, including the amount of ascites (<500 ml) and the result of primary surgery (macroscopically free). On the basis of these findings, a prospective study (DESKTOP-Trial III) was conducted to compare the overall survival of patients with platinum-sensitive recurrent ovarian cancer undergoing cytoreductive surgery followed by platinum-based chemotherapy, with patients receiving chemotherapy alone, the results of which are expected in 2017 (REF. 161 ).

Recurrent ovarian cancer is classified as platinum-sensitive or platinum-resistant. However, the Institute of Medicine called for an improved classification system for recurrent ovarian cancer, as the current classification does not reflect the effect of BRCA status on treatment responses and the varied responses to treatment in women with platinum-resistant cancer 162 . In addition, some groups have called for diminishing the importance of the PFI as this definition is flawed, with no universally accepted objective definition and, instead, incorporating key disease parameters, such as molecular signature (such as BRCA mutation), immunological features and tumour histology 163 .

Platinum-sensitive disease.

For patients with platinum-sensitive recurrent ovarian cancer, the standard of care is re-use of a platinum-based regimen 138 . However, re-use of platinum-based chemotherapy is associated with the development of potentially life-threatening platinum drug allergies 164 . Response rates using platinum doublets in patients with platinum-sensitive recurrent cancer are ~50% 138 , 165 – 167 , although the length of the PFI decreases with subsequent platinum use 168 . Various combinations of therapies are being investigated for the treatment of platinum-sensitive ovarian cancer ( TABLE 5 ), including paclitaxel and carboplatin 165 , carboplatin and pegylated liposomal doxorubicin 166 and carboplatin and gemcitabine 167 . Use of a platinum-based combination has been shown to improve outcomes compared with the use of single-agent platinum in patients with platinum-sensitive recurrent ovarian cancer 165 .

Key trials for the treatment of recurrent ovarian cancer

PFS, progression-free survival.

Approved therapies for the treatment of patients with platinum-sensitive recurrent ovarian cancer in Europe include bevacizumab (in combination with carboplatin and gemcitabine) and trabectedin (an agent that binds to DNA, resulting in cell cycle arrest and apoptosis) 167 . Carboplatin and gemcitabine are approved for use in the United States. Trabectedin was not ultimately approved for use in the United States owing to toxicity concerns; adverse effects of this agent include bone marrow suppression, fatigue and gastrointestinal complications (such as nausea, vomiting and diarrhoea), in addition to increased levels of liver enzymes.

Olaparib has been approved by the EMA as a maintenance therapy for platinum-sensitive ovarian cancer, after response and completion of platinum-based chemotherapy in patients with either a germline or a tumour BRCA mutation. However, accelerated approval for olaparib as a maintenance therapy in patients with germline BRCA mutations was rejected by the FDA Oncologic Drugs Advisory Committee, owing to a lack of evidence supporting improvements in overall survival; the final results of a confirmatory phase III study (SOLO2) will probably factor into future FDA decisions 169 , 170 . Nonetheless, the FDA has granted accelerated approval to olaparib as a single agent for use in patients with germline BRCA mutations who have received at least three prior lines of chemotherapy, regardless of platinum sensitivity 170 . The combination of olaparib and cediranib showed an improvement in PFS compared with olaparib alone as treatment for platinum-sensitive recurrent ovarian cancer ( TABLE 5 ), and two phase III trials are ongoing for both platinum-resistant and platinum-sensitive recurrent disease.

Platinum-resistant disease.

For patients with platinum-resistant cancer, bevacizumab with weekly paclit axel, pegylated liposomal doxorubicin or topotecan treatment in the first platinum-resistant setting was approved by both the FDA and the EMA, following the results of the AURELIA trial 171 , 172 . Although promising, care should be taken when using bevacizumab in patients with ovarian cancer, owing to the risk of severe adverse effects, such as gastrointestinal perforation 173 , hypertension, proteinuria and fistula development. Other single agents available to treat platinum-resistant ovarian cancer include gemcitabine, etoposide and vinorelbine 138 , which have response rates of up to 10–15% and median PFS of approximately 3–4 months. Anti-angiogenic agents that have been studied in recurrent ovarian cancer include nintedanib, trebananib, sunitinib, cabozantinib and cediranib 174 , 175 . Notably, cediranib has single-agent activity in both platinum-resistant and platinum-sensitive recurrent ovarian cancer 176 , can increase PFS when combined with platinum-based chemotherapy and can also be used as maintenance therapy in patients with platinum-sensitive recurrent cancer 177 . Furthermore, cediranib is being tested in combination with olaparib in two actively accruing phase III studies: GY004 and GY005 (REFS 178 , 179 ).

Ultimately, treatment of recurrent ovarian cancer should be tailored to the patient to prevent worsening of pre-existing adverse effects, such as myelosuppression and neuropathy, as well as respecting the wishes of the patient and the avoidance of other adverse effects, such as alopecia and gastrointestinal complications.

Quality of life

The diagnosis of any life-threatening disease, coupled with the acute and long-term adverse effects of treatment, can be associated with reductions in quality-of-life domains, including physical, functional, emotional, sexual, social and occupational well-being. Moreover, the large number of medical decisions required in a short period of several days to weeks following the initial diagnosis of ovarian cancer can add to the emotional stress felt by patients. The responses to these issues vary; for example, some patients might re-evaluate their attitudes to relationships, work and day-to-day life following a diagnosis of ovarian cancer 180 .

Although current treatment advances give more women with ovarian cancer the prospect of living longer, minimizing and/or ameliorating the adverse effects associated with treatments are crucial if quality, as well as length, of life is to be improved. Improvements in PFS or overall survival in trials might excite clinical scientists but be of less value to patients experiencing treatment-related adverse effects; because of this, many phase III studies have incorporated standardized, validated measures of quality of life (commonly referred to as patient-reported outcome (PRO) end points) into studies 181 , 182 . PROs are important as there are increasing doubts raised about the validity of data regarding adverse events collected during clinical trials; several studies have shown that the symptoms of disease and adverse effects of treatment are often under-recognized, under-reported and consequently undertreated 183 . Indeed, patients report adverse effects (such as fatigue, nausea, vomiting, constipation, alopecia, appetite loss and pain) earlier, more frequently and of greater severity than clinicians and nurses using Common Terminology Criteria for Adverse Events grading or proxy raters 183 . Quantification of quality-of-life issues faced by women with ovarian cancer requires well-constructed, reliable PRO measures that need to be essential components of phase III studies. Both the FDA and the EMA have clear guidelines on PRO instruments that are acceptable for conducting health technology assessments, defined as outcomes reported by patients, without the intervention of a third party and that have been constructed using appropriate psychometric methodology 184 . One key issue is that the PRO measures should be defined upfront and during trial development, with patients involved in their production. PRO measures used for ovarian cancer include generic, tumour-specific, treatment-specific or symptom-specific measures 185 – 187 and involve face-to-face interview schedules 188 , questionnaires on quality of life 186 , 187 , 189 – 191 , satisfaction scales and patient preference approaches 192 . For example, a PRO might include a series of questions related to the severity of various symptoms, such as lack of energy, pain, discomfort, sexual dysfunction, feeling ill, insomnia, sweating, bowel control and constipation, as used in the GY004 trial.

Thorough monitoring using validated instruments in clinical trials is needed to compile a database of the trajectory and severity of issues, such as adverse effects of treatment as well as emotional distress, permitting better evaluation of the benefits and harms of therapies, but also to establish the case for more research to develop therapies to reduce the adverse effects. The traditional end points of clinical trials (such as PFS and overall survival) need to be integrated with PROs to improve quality as well as length of life.

Now is a very exciting and promising time for ovarian cancer research, yet challenges remain in early detection, the identification of women who are at higher risk of developing ovarian cancer, overcoming platinum resistance and resistance to other treatments, in addition to developing rationale and effective immunotherapeutic strategies.

With the fields of genomics yielding more genetic information about ovarian cancer, in addition to the genotype of patients and with costs of sequencing decreasing, understanding the pathophysiology of ovarian cancer and rationale design of therapeutics are poised to move forward. In fact, the National Comprehensive Cancer Network genetics guidelines as well as several European organizations have recommended universal germline BRCA mutation screening for all women diagnosed with ovarian cancer. Screening women with ovarian cancer will enable the identification of family members at high risk and the risk of the patient developing other types of cancer, thus allowing the performance of risk-reducing surgeries for both patients and affected family members. Moreover, the extent of genetic testing, including panel testing that includes genes other than BRCA1 and BRCA2 , continues to evolve and will contribute to our understanding of the genetics underlying the formation of ovarian cancer and its biology. Improved understanding of the genomics of different histological subtypes of ovarian cancer will be an important target over the upcoming years, to facilitate the understanding of the risk factors associated with this disease, as well as the development of prevention and therapeutic strategies.

Early detection efforts are promising, with ROCA testing demonstrating increased detection of early ovarian cancers compared with no testing. However, results of the UKCTOCS study did not show an overall survival advantage to using the ROCA testing, thus no screening test exists at this time. In addition, further research elucidating the role of variants of unknown importance in both BRCA genes and in other associated genes (such as BRIP1 and RAD51 ) in the risk of developing ovarian cancer is crucial for the appropriate recommendation of risk-reducing surgeries.

Other risk-reducing efforts, including surgical techniques such as bilateral salpingectomy, not directed at the high-risk population but more at a general risk population, are ongoing. Understanding the pathogenesis of the various types of ovarian cancer, such as the precursor STIC lesions for HGSC, is crucial for the appropriate use of surgical interventions for the prevention of ovarian cancer. Establishing uniform criteria for the definition of the site of origin of HGSCs, based on specific pathology findings, is being called for by consensus statements 193 .

Emerging therapies

Promising future therapies for ovarian cancer include PARP inhibitors and antibody–drug conjugates. PARP inhibitors, initially olaparib, have shown single-agent response rates of up to 30% in recurrent ovarian cancer, with the greatest activity in cancers with BRCA mutations and in platinum-sensitive disease 194 – 196 . Other PARP inhibitors (such as niraparib, rucaparib and veliparib) that have single-agent activity in ovarian cancer are in phase III studies of, for example, use as maintenance therapy in patients with platinum-sensitive recurrent ovarian cancer following a response to treatment with platinum-based chemotherapy 197 , 198 ( TABLE 6 ). Rucaparib was recently given breakthrough status (to accelerate the development and review of the drug) by the FDA based on results from the ARIEL2 trial 199 . Veliparib has been added to the NACT armamentarium with carboplatin and paclitaxel for newly diagnosed advanced ovarian cancer in a phase III study, in addition to testing as a maintenance therapy 200 .

Key ongoing or completed clinical trials of biologic agents for the treatment of ovarian cancer

PARP, poly(ADP-ribose) polymerase; VEGF, vascular endothelial growth factor; VEGFR, VEGF receptor.

Acknowledging that the effectiveness of single-agent biologic therapies has reached a therapeutic plateau, one promising approach has been the development of combinations of biologic agents (anti-angiogenics, PARP inhibitors and immunotherapy agents) 201 – 204 . Such a strategy would target multiple cancer-promoting pathways or mechanisms and might be effective particularly in HGSC owing to its genomic complexity. Other histological subtypes such as clear-cell carcinoma that can harbour deficiencies in homologous recombination, such as mutations in ARID1A and PIK3CA , might also be clinically responsive. Furthermore, biologic combinations have the advantage of including agents that have non-overlapping adverse effects that might potentially reduce treatment-related toxicities.

Combining PARP inhibitors with targeted therapies against the PI3K pathway is being investigated, based on preclinical evidence from patient-derived xenograft models. Combinations of PARP inhibitors and, for example, cyclin-dependent kinase (CDK) inhibitors, immunotherapy agents and heat shock protein 90 (HSP90) inhibitors 205 , 206 , are also being assessed. Combining PARP inhibitors with chemotherapy has already proved challenging owing to overlapping myelosuppression associated with both therapies.

Study of immunotherapy strategies for the treatment of recurrent ovarian cancer is underway 207 , with several immune checkpoint inhibitors tested in recurrent disease ( TABLE 6 ). At this time, many questions remain about the optimal strategies for the use of immunotherapies for the treatment of either newly diagnosed or recurrent ovarian cancer, but several studies are planned and are underway. Combinations of either chemotherapy and immunotherapy or two immunotherapy agents are under investigation. For example, nivolumab and ipilimumab (which has shown efficacy in melanoma) compared with nivolumab alone is being investigated, results of which are pending 208 . More research is needed to understand the selection of optimal immunotherapy through the use of biomarkers, the effect of the tumour microenvironment on cancer growth and determining the best and most effective therapeutic agents and combinations.

Antibody–drug conjugates have shown single-agent activity. One antibody–drug conjugate, IMGN853, targets the folate receptor-α and is linked to a highly potent maytansinoid that targets microtubules and suppresses microtubule dynamic instability, inducing cell cycle arrest and cell death 209 . IMGN853 has demonstrated impressive single-agent activity in patients with platinum-resistant recurrent ovarian cancer.

One other strategy for the therapeutic management of ovarian cancer is replacing mutated TP 53 using gene therapy, as well as inhibition of MDM2 (the ligase that regulates p53 levels through small molecules). However, TP53 gene therapy using adenoviral vectors has been met with limited success partly owing to toxicity related to the approaches used 210 , 211 . Other emerging therapies targeting tumours carrying mutant TP53 include COTI-2, which is thought to induce a ‘wild-type-like’ conformational change in mutant p53 and is currently in clinical trials 212 .

Importance of tumour histology.

With the improved understanding that ovarian cancer is composed of several histologically and molecularly distinct subtypes, certain classes of therapeutics have histology-specific mechanisms of action, such as PARP inhibitors for the treatment of HGSC and MEK inhibitors for the treatment of LGSC. Activity of the MEK inhibitor selumetinib in LGSC has been demonstrated 213 ; clinical trials comparing the use of MEK inhibitors to chemotherapy for the treatment of recurrent LGSC are underway, including a phase III study of binimetinib (also known as MEK162) compared with the physician’s choice of chemotherapy agent (the MILO study) 214 . However, the MILO study was terminated because of futility, based on a planned interim analysis showing that the HR for PFS crossed a predefined futility boundary. One other study assessing MEK inhibition for the management of LGSC is investigating trametinib (also known as GSK 1120212) in patients with recurrent or progressive LGSC 215 , but this study has been suspended owing to problems with the drug supply.

Drug approvals.

One challenge for the development of new therapies in ovarian cancer is the approval mechanisms of the FDA and the EMA. Demonstrating an improvement in overall survival is a requirement for regulatory approval but is difficult to demonstrate in ovarian cancer; explanations for this are not fully understood but possibly include the use of active study agents after disease progression, which dilutes the effect of the active agent on overall survival but not on PFS 216 , 217 . In addition, the lack of subclassification of histological subtypes for clinical trial eligibility might have diluted the efficacy of some therapeutic agents, such as bevacizumab, and also because no biomarker currently exists to select patients to receive this therapy. Several groups are calling for the achievement of significant improvement in PFS, coupled with PRO measures demonstrating the benefit of treatment, as a reason for drug approval; the approval of bevacizumab and olaparib was owing to improvement in PFS, quality of life, duration of response or response rate; however, approvals based on PROs are rare 218 , 219 . The time frame between subsequent therapies (that is, the second PFS) or time between paracentesis or thoracentesis procedures could also be important measurements of patient benefit from a specific therapy. PROs should be a vital component of any phase III study, particularly those testing agents for potential regulatory approval for the treatment of ovarian cancer.

Acknowledgements

U.A.M. has received research support from the Ovarian Cancer Research Foundation, the Breast Cancer Research Foundation and the US Department of Defense. A.S. has received research support from the US National Institute of Health (CA109298, P50 CA083639 and P50 CA098258).

Competing interests

U.A.M. has served as a consultant for AstraZeneca, ImmunoGen, Pfizer, Genentech and Merck. All other authors declare no competing interests.