ArticleDiagnostics (Basel, Switzerland)2021
Classification Systems of Endometrial Cancer: A Comparative Study about Old and New.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Molecular profile in endometrial carcinoma: can we predict the lymph node status? A systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Pooled it
- Targeting Apoptosis-Resistant Proliferation: Imatinib-Based Combinations Induce Durable Cytostatic Arrest in 3D Endometrial Cancer Spheroids.Biomedicines · 2026Article
- Impact of the 2023 FIGO staging system on risk stratification in endometrial cancer: a retrospective cohort study.World journal of surgical oncology · 2026Article
- Establishment and characterization of preclinical model of primary ovarian squamous cell carcinoma.Human cell · 2025Article
- Comprehensive Review of Endometrial Cancer: New Molecular and FIGO Classification and Recent Treatment Changes.Journal of clinical medicine · 2025Review
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
Abstract
Endometrial cancer is the most common gynecological malignancy of the female reproductive organs. Historically it was divided into type I and type II, until 2013 when the Cancer Genome Atlas molecular classification was proposed. Here, we applied the different classification types on our endometrial cancer patient cohort in order to identify the most predictive one. We enrolled 117 endometrial cancer patients available for the study and collected the following parameters: age, body mass index, stage, menopause, Lynch syndrome status, parity, hypertension, type of localization of the lesion at hysteroscopy, type of surgery and complications, and presence of metachronous or synchronous tumors. The tumors were classified according to the European Society for Medical Oncology, Proactive Molecular Risk Classifier for Endometrial Cancer, Post-Operative Radiation Therapy in Endometrial Carcinoma, and Cancer Genome Atlas classification schemes. Our data confirmed that European Society for Medical Oncology risk was the strongest predictor of prognosis in our cohort. The parameters correlated with poor prognosis were the histotype, FIGO stage, and grade. Our study cohort shows that risk stratification should be based on the integration of histologic, clinical, and molecular parameters.
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