ArticleJournal of the National Cancer Institute2023
Risk prediction models for endometrial cancer: development and validation in an international consortium.
Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Insights and limitations of endometrial cancer risk prediction models for clinical applicability: a systematic review.BMC cancer · 2025Pooled it
- Risk stratification for endometrial cancer: independent and joint effects of polygenic risk score and body mass index in 129,829 UK Biobank participants.BMC medicine · 2026Observational
- Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Research trends and hotspots of single nucleotide polymorphisms in endometrial cancer: a bibliometric analysis.Discover oncology · 2025Article
- Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach.Discover oncology · 2025Article
- Models for predicting risk of endometrial cancer: a systematic review.Diagnostic and prognostic research · 2025Article
- Understanding risk factors for endometrial cancer in young women.Journal of the National Cancer Institute · 2025Article
- Association Between Hepatic Steatosis Index and Endometrial Cancer Risk: A Cross-Sectional Study.International journal of women's health · 2025Article
- A high-risk prediction model for endometrial cancer: exploring the synergistic interaction between polycystic ovary syndrome and metabolic syndrome.American journal of cancer research · 2025Article
- A risk-stratified model for predicting endometrial atypical hyperplasia and cancer to guide biopsy decisions in asymptomatic postmenopausal women.Frontiers in medicine · 2025Article
- Development of a clinical diagnostic model for atypical endometrial hyperplasia and endometrial carcinoma in women aged 40-60 years based on refined abnormal uterine bleeding patterns.Frontiers in oncology · 2025Article
- Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.JAMIA open · 2024Article
- Hypertension and Risk of Endometrial Cancer: A Pooled Analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Differences in single gene expression patterns and signaling pathways between Black and White patients in high grade endometrioid endometrial cancer independent of BMI.Gynecologic oncology reports · 2024Article
- Review
- Association of insulin-like growth factor II mrna-binding protein 3 (IMP3) expression with prognostic and morphological factors in endometrial cancer.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024Article
- Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.ArXiv · 2023Article
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Authors and funding
46 authors at 20 institutions in 8 countries.
Funding
Abstract
backgroundEndometrial cancer risk stratification may help target interventions, screening, or prophylactic hysterectomy to mitigate the rising burden of this cancer. However, existing prediction models have been developed in select cohorts and have not considered genetic factors.
methodsWe developed endometrial cancer risk prediction models using data on postmenopausal White women aged 45-85 years from 19 case-control studies in the Epidemiology of Endometrial Cancer Consortium (E2C2). Relative risk estimates for predictors were combined with age-specific endometrial cancer incidence rates and estimates for the underlying risk factor distribution. We externally validated the models in 3 cohorts: Nurses' Health Study (NHS), NHS II, and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.
resultsArea under the receiver operating characteristic curves for the epidemiologic model ranged from 0.64 (95% confidence interval [CI] = 0.62 to 0.67) to 0.69 (95% CI = 0.66 to 0.72). Improvements in discrimination from the addition of genetic factors were modest (no change in area under the receiver operating characteristic curves in NHS; PLCO = 0.64 to 0.66). The epidemiologic model was well calibrated in NHS II (overall expected-to-observed ratio [E/O] = 1.09, 95% CI = 0.98 to 1.22) and PLCO (overall E/O = 1.04, 95% CI = 0.95 to 1.13) but poorly calibrated in NHS (overall E/O = 0.55, 95% CI = 0.51 to 0.59).
conclusionsUsing data from the largest, most heterogeneous study population to date (to our knowledge), prediction models based on epidemiologic factors alone successfully identified women at high risk of endometrial cancer. Genetic factors offered limited improvements in discrimination. Further work is needed to refine this tool for clinical or public health practice and expand these models to multiethnic populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.