Unknown

Dataset Information

Analysis of molecular subtypes and prognostic signature of senescence-associated secretory phenotype in pancreatic cancer.


ABSTRACT:

Background

Pancreatic cancer (PC) exhibits an extremely poor prognosis due to its high heterogeneity. The senescence-associated secretory phenotype (SASP), a distinct secretory profile displayed by senescent cells, has been increasingly studied. However, the role of SASP in PC prognosis and treatment remains unclear.

Methods

Transcriptomic sequencing data from PC patients were analyzed using consensus clustering based on SASP genes. A prognostic signature was subsequently constructed via Least Absolute Shrinkage and Selection Operator (LASSO) regression using survival-related SASP genes. Pathway enrichment analysis for distinct subgroups was performed using Gene Set Variation Analysis (GSVA). Comprehensive analyses of mutational landscapes and tumor immune microenviro

SUBMITTER: Kuang Y 

PROVIDER: S-EPMC12786131 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature