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ABSTRACT: Background
Recently, a large number of studies have sought personalized treatment for lung squamous cell carcinoma (LUSC) by dividing patients into different molecular subtypes. Autophagy plays an important role in maintaining the tumor microenvironment and immune-related biological processes. However, the molecular subtypes mediated by autophagy in LUSC are not clear.Methods
Based on 490 LUSC samples, we systematically analyzed the molecular subtype modification patterns mediated by autophagy-related genes. The ssGSEA and CIBERSORT algorithm were utilized to quantify the relative abundance of TME cell infiltration. Principal component analysis was used to construct autophagy prognostic score (APS) model.Results
We identified three autophagy subtypes in LUSC, and th
SUBMITTER: Wang J
PROVIDER: S-EPMC9489399 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature