A 73-gene proliferative transcriptomic signature predicts uterine serous carcinoma patient survival and response to primary therapy.

ABSTRACT:

Objectives

To develop a transcriptomic signature capable of predicting overall survival (OS) for uterine serous carcinoma (USC).

Methods

RNAseq data for 58 USC patients were obtained from TCGA. Expression of 73 candidate genes was measured for 67 Augusta University (AU) samples using NanoString technology.

Results

Analysis of the TCGA RNAseq data identified 73 genes that individually predict prognosis for USC patients and an elastic net model with all 73 genes (USC73) distinguishes a good OS group with low USC73 score from a poor OS group with high USC73 score (5-year OS = 83.3% and 13.3% respectively, HR = 40.1; p = 3 × 10^-8). This finding was validated in the independent AU cohort (HR = 4.3; p = 0.0004). The poor prognosis group with high USC73 score cons

SUBMITTER: Tran LKH 

PROVIDER: S-EPMC12458787 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature