Establishment of a novel CNV-related prognostic signature predicting prognosis in patients with breast cancer.

ABSTRACT:

Background

Copy number variation (CNVs) is a key factor in breast cancer development. This study determined prognostic molecular characteristics to predict breast cancer through performing a comprehensive analysis of copy number and gene expression data.

Methods

Breast cancer expression profiles, CNV and complete information from The Cancer Genome Atlas (TCGA) dataset were collected. Gene Expression Omnibus (GEO) chip data sets (GSE20685 and GSE31448) containing breast cancer samples were used as external validation sets. Univariate survival COX analysis, multivariate survival COX analysis, least absolute shrinkage and selection operator (LASSO), Chi square, Kaplan-Meier (KM) survival curve and receiver operating characteristic (ROC) analysis were applied to build a gene sig

SUBMITTER: Hu W 

PROVIDER: S-EPMC8349487 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature