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Related Experiment Video

Updated: Jul 22, 2026

Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression
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Published on: August 28, 2012

Ovarian Cancer Risk Factors by Histologic Subtype: An Analysis From the Ovarian Cancer Cohort Consortium.

Nicolas Wentzensen1, Elizabeth M Poole1, Britton Trabert1

  • 1Nicolas Wentzensen, Britton Trabert, Amanda Black, Louise A. Brinton, Patricia Hartge, Catherine Schairer, and Hannah P. Yang, National Cancer Institute; Dale P. Sandler, National Institute of Environmental Health Science, Bethesda, MD; Elizabeth M. Poole, Julie Buring, I-Min Lee, and Shelley S. Tworoger, Brigham and Women's Hospital; Elizabeth M. Poole, Hans-Olov Adami, Julie Buring, I-Min Lee, and Shelley S. Tworoger, Harvard University, Boston, MA; Emily White and Ulrike Peters, Fred Hutchinson Cancer Research Center, Seattle, WA; Alan A. Arslan, Tess V. Clendenen, and Anne Zeleniuch-Jacquotte, New York University School of Medicine; Thomas Rohan, Albert Einstein College of Medicine, New York, NY; Alpa V. Patel, Susan M. Gapstur, and Mia M. Gaudet, American Cancer Society, Atlanta, GA; V. Wendy Setiawan, University of Southern California, Los Angeles; Leslie Bernstein and James V. Lacey Jr, City of Hope, Duarte, CA; Kala Visvanathan and Judith Hoffman-Bolton, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Elisabete Weiderpass and Inger T. Gram, University of Tromsø-The Arctic University of Norway, Tromsø; Elisabete Weiderpass, Cancer Registry of Norway, Oslo, Norway; Elisabete Weiderpass, Hans-Olov Adami, Louise K. Sjöholm, and Alicja Wolk, Karolinska Institute; Stockholm; Annika Idahl and Eva Lundin, Umeå University, Umeå, Sweden; Elisabete Weiderpass, Folkhälsan Research Center, Helsinki, Finland; Lesley M. Butler, University of Pittsburgh, Pittsburgh, PA; Saioa Chamosa, BioDonostia Research Institute, San Sebastian, Spain; Laure Dossus, French Institute of Health and Medical Research, Paris; Sabina Rinaldi, International Agency for Research on Cancer, Lyon, France; Renee Fortner and Rudolf Kaaks, German Cancer Research Center, Heidelberg, Germany; Michael Jones and Anthony Swerdlow, The Institute of Cancer Research; Melissa A. Merritt, Imperial College of London, London; Ruth Travis, University of Oxford, Oxford, United Kingdom; Victoria

Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|June 22, 2016
PubMed
Summary

Ovarian cancer risk factors vary significantly by subtype, impacting prevention and treatment strategies. Understanding these differences is crucial for targeted interventions and improved outcomes in women's health.

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Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages
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Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages

Published on: February 23, 2024

Area of Science:

  • Gynecologic Oncology
  • Epidemiology
  • Cancer Etiology

Background:

  • Ovarian cancer comprises heterogeneous subtypes with distinct etiologies.
  • Understanding these differences is key for developing effective prevention, early detection, and therapeutic strategies.
  • Previous research often aggregated subtypes, potentially masking important variations in risk factor associations.

Purpose of the Study:

  • To investigate the etiologic heterogeneity of ovarian cancer by examining associations between hormonal, reproductive, and lifestyle factors and specific histologic subtypes.
  • To identify distinct risk factor profiles for different ovarian cancer subtypes within a large cohort.

Main Methods:

  • Analysis of data from the Ovarian Cancer Cohort Consortium (OC3), including 5,584 invasive epithelial ovarian cancers across 21 studies.
  • Utilized competing-risks Cox proportional hazards regression, stratified by study and birth year, adjusting for key covariates.
  • Evaluated heterogeneity of risk factor associations across histologic subtypes using likelihood ratio tests.

Main Results:

  • Significant heterogeneity in risk factor associations was observed across ovarian cancer subtypes.
  • Factors like parity, age at menopause, endometriosis, and tubal ligation were strongly associated with endometrioid and clear cell carcinomas.
  • Smoking showed differential associations, increasing risk for mucinous and decreasing risk for clear cell subtypes.
  • Unsupervised clustering revealed distinct groupings of subtypes based on risk factor profiles.

Conclusions:

  • The study highlights the critical importance of subtype-specific analyses in ovarian cancer etiology.
  • Established risk factors are more strongly linked to nonserous subtypes, posing challenges for predicting risk in the more fatal serous subtypes.
  • These findings underscore the need for tailored approaches in ovarian cancer research and clinical practice.