Identification of prognostic biomarkers for major subtypes of non-small-cell lung cancer using genomic and clinical data.

ABSTRACT:

Purpose

Intra-tumor heterogeneity and high mortality among patients with non-small-cell lung carcinoma (NSCLC) emphasize the need to identify reliable prognostic markers unique to each subtype.

Methods

In this study, univariate cox regression and prognostic index (PI)-based approaches were used to develop models for predicting NSCLC patients' subtype-specific survival.

Results

Prognostic analysis of TCGA dataset identified 1334 and 2129 survival-specific genes for LUSC (488 samples) and LUAD (497 samples), respectively. Individually, 32 and 271 prognostic genes were found and validated in GSE study exclusively for LUSC and LUAD. Nearly, 9-10% of the validated genes in each subtype were already reported in multiple studies thus highlighting their importance as prognost

SUBMITTER: Lathwal A 

PROVIDER: S-EPMC11804567 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature