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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Related Experiment Video

Updated: Sep 19, 2025

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
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Ovarian cancer risk and survival according to tumor sex hormone receptor expression: An ovarian Cancer association

Zhuxuan Fu1, Lauren Borho2, Sarah E Taylor2

  • 1Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA 15213, USA; St. Luke's Mid America Heart Institute. St Luke's Health System. Kansas City, MO, USA.

Gynecologic Oncology
|June 7, 2025
PubMed
Summary
This summary is machine-generated.

Epithelial ovarian cancer (EOC) risk and survival vary based on tumor hormone receptor expression (androgen receptor, estrogen receptor, progesterone receptor) and histotype. Understanding these associations is crucial for personalized EOC risk assessment and treatment.

Keywords:
Epithelial ovarian cancerHormonal factorsHormone receptorRiskSurvivalandrogen receptorestrogen receptorprogesterone receptor

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Area of Science:

  • Gynecologic Oncology
  • Reproductive Endocrinology
  • Cancer Biomarkers

Background:

  • Epithelial ovarian cancer (EOC) risk factors are linked to sex hormones.
  • The relationship between these hormonal factors and the expression of androgen receptor (AR), estrogen receptor-α (ER), and progesterone receptor (PR) in EOC tumors remains largely unknown.

Purpose of the Study:

  • To investigate the association between hormonally-linked factors and the expression of AR, ER, and PR in epithelial ovarian cancer tumors.
  • To evaluate how AR, ER, and PR expression influences EOC survival, considering tumor histotype.

Main Methods:

  • Utilized data from the Ovarian Cancer Association Consortium (OCAC) and Ovarian Tumor Tissue Analysis (OTTA) consortium, linking epidemiologic, tumor receptor expression, and survival data.
  • Employed polytomous logistic regression to estimate odds ratios for associations between hormonally-linked factors and AR/ER/PR expression.
  • Assessed survival outcomes using Kaplan-Meier curves and Cox proportional hazards models stratified by AR/ER/PR expression and histotype.

Main Results:

  • Overweight/obesity correlated with higher risk of ER- EOC. Hysterectomy was linked to increased risk of ER+ EOC, with variations by AR expression.
  • Postmenopause was associated with a higher risk of PR- EOC, showing differential associations based on AR and ER expression.
  • Gravidity, oral contraception, and breastfeeding duration exhibited dose-response relationships with AR/ER/PR expression. Survival outcomes were differentially associated with hormone therapy, postmenopause, physical inactivity, and obesity based on receptor expression and histotype.

Conclusions:

  • Epithelial ovarian cancer presents diverse risk and prognostic profiles influenced by both histotype and AR, ER, and PR expression.
  • Further research into the biological mechanisms connecting hormonally-linked factors to EOC is warranted, specifically examining variations by histotype and receptor expression.