Identification of novel subtypes based on ssGSEA in immune-related prognostic signature for tongue squamous cell carcinoma.

ABSTRACT:

Background

Tongue squamous cell carcinoma (TSCC) is characterized by aggressive invasion and poor prognosis. Currently, immune checkpoint inhibitors may prolong overall survival compared with conventional treatments. However, PD1/PDL1 remain inapplicable in predicting the prognosis of TSCC; thus, it is urgent to explore the genetic characteristics of TSCC.

Materials and methods

We utilized single-sample gene set enrichment analysis (ssGSEA) to classify TSCC patients from the TCGA database into clusters with different immune cell infiltrations. ESTIMATE (immune-related scores) and CIBERSORT (immune cell distribution) analyses were used to evaluate the immune landscape among clusters. GO, KEGG, and GSEA analyses were performed to analyze the different underlying molecular mech

SUBMITTER: Jin Y 

PROVIDER: S-EPMC8633230 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature