An expression signature model to predict lung adenocarcinoma-specific survival.

ABSTRACT:

Background

The current TNM staging system plays a central role in lung adenocarcinoma (LUAD) prognosis. However, it may not adequately stratify the risk of tumor recurrence. With the aid of gene expression profiling, we identified 31 lncRNAs whose expressions in tumor tissues could be used as a risk indicator for the guidance of lung cancer therapy. This exploratory analysis may shed new light on identification of potential prognostic factors.

Materials and methods

A survival prediction scoring model was developed from the data that are publicly available in The Cancer Genome Atlas (TCGA) LUAD RNA Sequencing dataset. Multivariate Cox regression analysis and Kaplan-Meier analysis were performed on a cohort of 254 stage I lung carcinoma patients with survival records.

Resul

SUBMITTER: Shi X 

PROVIDER: S-EPMC6161724 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature