A 70-Gene Signature for Predicting Treatment Outcome in Advanced-Stage Cervical Cancer.

ABSTRACT: Cervical cancer is the fourth most common cancer in women worldwide. The current approaches still have limitations in predicting the therapy outcome of each individual because of cancer heterogeneity. The goal of this study was to establish a gene expression signature that could help when choosing the right therapeutic method for the treatment of advanced-stage cervical cancer. The 666 patients were collected from four independent datasets. The 70-gene expression signature was established using univariate Cox proportional hazard regression analysis. The 70-gene signature was significantly different between low- and high-risk groups in the training dataset (p = 4.24e-6) and in the combined three validation datasets (p = 4.37e-3). Treatment of advanced-stage cancer patients in the high-risk

SUBMITTER: Nguyen NNY 

PROVIDER: S-EPMC7530249 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature