Identification of a multidimensional transcriptome prognostic signature for lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is one of the leading contributors to cancer-related deaths worldwide. The objective of the current study is to identify a multidimensional transcriptome prognostic signature by combining protein-coding gene (PCG) with long non-coding RNA (lncRNA) for patients with LUAD.

Methods

We obtained LUAD PCG and lncRNA expression profile data from three datasets in the Gene Expression Omnibus database and conducted survival analyzes for these individuals.

Results

We established a predictive model comprising the three PCGs (NHLRC2, PLIN5, GNAI3), and one lncRNA (AC087521.1). This model segregated patients with LUAD into low- and high-risk groups based on significant differences in survival in the training dataset (GSE31210, n = 226, log-ran

SUBMITTER: Ye J 

PROVIDER: S-EPMC6868416 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature