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Dataset Information

Characterization of a prognostic model for lung squamous cell carcinoma based on eight stemness index-related genes.


ABSTRACT:

Background

Cancer stem cells (CSCs) are implicated in cancer progression, chemoresistance, and poor prognosis; thus, they may be promising therapeutic targets. In this study, we aimed to investigate the prognostic application of differentially expressed CSC-related genes in lung squamous cell carcinoma (LUSC).

Methods

The mRNA stemness index (mRNAsi)-related differentially expressed genes (DEGs) in tumors were identified and further categorized by LASSO Cox regression analysis and 1,000-fold cross-validation, followed by the construction of a prognostic score model for risk stratification. The fractions of tumor-infiltrating immune cells and immune checkpoint genes were analyzed in different risk groups.

Results

We found 404 mRNAsi-related DEGs in LUSC, 77 of which we

SUBMITTER: Jiang W 

PROVIDER: S-EPMC9178800 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature