Global Incidence of Ovarian Cancer According to Histologic Subtype: A Population-Based Cancer Registry Study

JCO Glob Oncol. 2024 May:10:e2300393. doi: 10.1200/GO.23.00393.

Abstract

Purpose: Ovarian cancer can be categorized into distinct histologic subtypes with varying identifiable risk factors, molecular composition, clinical features, and treatment. The global incidence of ovarian cancer subtypes remains limited, especially in low- and middle-income countries (LMICs) without high-quality cancer registry systems.

Materials and methods: We used data from population-based cancer registries of the Cancer Incidence in Five Continents project to calculate the proportions of serous, mucinous, endometrioid, clear cell, and other histologic subtypes of ovarian cancer. Proportions were applied to the estimated numbers of patients with ovarian cancer from Global Cancer Observatory 2020. Age-standardized incidence rates were calculated.

Results: Globally, an estimated 133,818 new patients of serous cancer, 35,712 new patients of mucinous cancer, 29,319 new patients of endometrioid cancer, and 17,894 new patients of clear cell cancer were identified in 2020. The distribution of ovarian cancer histologic subtypes exhibited regional variation. Eastern Europe had the highest rate of serous and mucinous carcinomas, whereas Northern Africa and Eastern Asia had the highest burden of endometrioid and clear cell carcinomas, respectively.

Conclusion: This study provides a global incidence landscape of histologic subtypes of ovarian cancer, particularly in LMICs lacking comprehensive registry systems. Our analysis offers valuable insights into disease burden and guidance for tailored strategies for prevention of ovarian cancer.

MeSH terms

  • Adenocarcinoma, Clear Cell / epidemiology
  • Adenocarcinoma, Clear Cell / pathology
  • Adenocarcinoma, Mucinous / epidemiology
  • Adenocarcinoma, Mucinous / pathology
  • Adult
  • Aged
  • Carcinoma, Endometrioid / epidemiology
  • Carcinoma, Endometrioid / pathology
  • Female
  • Global Health / statistics & numerical data
  • Humans
  • Incidence
  • Middle Aged
  • Ovarian Neoplasms* / epidemiology
  • Ovarian Neoplasms* / pathology
  • Registries* / statistics & numerical data