A Novel Framework to Predict Breast Cancer Prognosis Using Immune-Associated LncRNAs.

ABSTRACT: Background: Breast cancer (BC) is one of the most frequently diagnosed malignancies among females. As a huge heterogeneity of malignant tumor, it is important to seek reliable molecular biomarkers to carry out the stratification for patients with BC. We surveyed immune- associated lncRNAs that may be used as potential therapeutic targets in BC. Methods: LncRNA expression data and clinical information of BC patients were downloaded from the TCGA database for a comprehensive analysis of candidate genes. A model consisting of immune-related lncRNAs enriched in BC cancerous tissues was established using the univariate Cox regression analysis and the iterative Lasso Cox regression analysis. The prognostic performance of this model was validated in two independent cohorts (GSE21653

SUBMITTER: Huang Z 

PROVIDER: S-EPMC7873981 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature