Risk stratification and prognosis prediction based on inflammation-related gene signature in lung squamous carcinoma.

ABSTRACT:

Background

Inflammation is known to have an intricate relationship with tumorigenesis and tumor progression while it is also closely related to tumor immune microenvironment. Whereas the role of inflammation-related genes (IRGs) in lung squamous carcinoma (LUSC) is barely understood. Herein, we recognized IRGs associated with overall survival (OS), built an IRGs signature for risk stratification and explored the impact of IRGs on immune infiltration landscape of LUSC patients.

Methods

The RNA-sequencing and clinicopathological data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, which were defined as training and validation cohorts. Cox regression and least absolute shrinkage and selection operator analyses

SUBMITTER: Zhai W 

PROVIDER: S-EPMC9972108 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature