Identification and Validation of a Novel Six-lncRNA-Based Prognostic Model for Lung Adenocarcinoma.

ABSTRACT:

Objective

This study was conducted in order to establish a long non-coding RNA (lncRNA)-based model for predicting overall survival (OS) in patients with lung adenocarcinoma (LUAD).

Methods

Original RNA-seq data of LUAD samples were extracted from The Cancer Genome Atlas (TCGA) database. Univariate Cox survival analysis was performed to select lncRNAs associated with OS. The least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate Cox analysis were performed for building an OS-associated lncRNA prognostic model. Moreover, receiver operating characteristic (ROC) curves were generated to assess predictive values of the hub lncRNAs. Consequently, qRT-PCR was conducted to validate its prognostic value. The potential roles of these lncRNAs in i

SUBMITTER: Yang L 

PROVIDER: S-EPMC8801419 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature