Defining a New Subtype of Lung Adenocarcinoma (LUAD) and Identifying
Prognostic Biomarkers: A Gene Set Variation Analysis Approach
Abstract
[Objective] This study aimed to define a new subtype of
lung adenocarcinoma (LUAD) and identify prognostic biomarkers;
[Method] We obtained the required raw data from the TCGA
and GEO database. Through gene set variation analysis (GSVA) analysis,
the gene expression matrix was transformed into a gene set expression
matrix. Then, the “Cancersubtypes” package in R software was used to
convert the samples into different subtypes, and a LUAD-related
prognosis model was established based on the differentially expressed
gene sets (DEGSs) between each subtype. Finally, functional and pathway
enrichment analysis, as well as a protein-protein interaction (PPI)
network analysis, were performed on prognosis-related DEGSs;
[Result] We obtained 63 DEGSs and constructed a prognostic
model based on 4 significantly prognosis-related DEGSs;
[Conclusion] This study has developed a new classification
method for LUAD and identified 4 prognosis related DEGSs and 15 core
protein, which could provide relevant theoretical basis and guidance for
the update of cancer treatment methods and the development of new drugs.