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Article

A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables.

International journal of molecular sciences - 9 Mar 2019

Salinas Erin A, Miller Marina D, Newtson Andreea M, Sharma Deepti, McDonald Megan E, Keeney Matthew E, Smith Brian J, Bender David P, Goodheart Michael J, Thiel Kristina W, Devor Eric J, Leslie Kimberly K, Gonzalez Bosquet Jesus

Abstract excerpt

The utility of comprehensive surgical staging in patients with low risk disease has been questioned. Thus, a reliable means of determining risk would be quite useful. The aim of our study was to create the best performing prediction model to classify endometrioid endometrial cancer (EEC) patients into low or high risk using a combination of molecular and clinical-pathological variables. We then validated these...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 30857319
DOI: 10.3390/ijms20051205
PMCID: PMC6429416

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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