An amino acid metabolism-based seventeen-gene signature correlates with the clinical outcome and immune features in pancreatic cancer.

ABSTRACT: Background: Pancreatic cancer is an aggressive tumor with a low 5-year survival rate and primary resistance to most therapy. Amino acid (AA) metabolism is highly correlated with tumor growth, crucial to the aggressive biological behavior of pancreatic cancer; nevertheless, the comprehensive predictive significance of genes that regulate AA metabolism in pancreatic cancer remains unknown. Methods: The mRNA expression data downloaded from The Cancer Genome Atlas (TCGA) were derived as the training cohort, and the GSE57495 cohort from Gene Expression Omnibus (GEO) database was applied as the validation cohort. Random survival forest (RSF) and the least absolute shrinkage and selection operator (LASSO) regression analysis were employed to screen genes and construct an AA metaboli

SUBMITTER: Hao J 

PROVIDER: S-EPMC10272610 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature