Integrative Protein-Based Prognostic Model for Early-Stage Endometrioid Endometrial Cancer.

ABSTRACT:

Purpose

Endometrioid endometrial carcinoma (EEC) is the major histologic type of endometrial cancer, the most prevalent gynecologic malignancy in the United States. EEC recurrence or metastasis is associated with a poor prognosis. Early-stage EEC is generally curable, but a subset has high risk of recurrence or metastasis. Prognosis estimation for early-stage EEC mainly relies on clinicopathologic characteristics, but is unreliable. We aimed to identify patients with high-risk early-stage EEC who are most likely to benefit from more extensive surgery and adjuvant therapy by building a prognostic model that integrates clinical variables and protein markers.

Experimental design

We used two large, independent early-stage EEC datasets as training (n = 183) and validation cohorts

SUBMITTER: Yang JY 

PROVIDER: S-EPMC4715969 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature