Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer.

ABSTRACT:

Background

Histamine, a critical inflammatory mediator, is generated by both mast cells and specific tumor cells, and it plays a fundamental role in inflammatory and immune responses. In the current scientific landscape, histamine-related genes (HRGs) and their associated pathways have been validated to be implicated in the development and advancement of cancer. However, the precise role of HRGs in gauging the risk and predicting the prognosis of pancreatic adenocarcinoma (PAAD) remains nebulous.

Methods

We carried out an elaborate data collection endeavor. Transcriptome data along with pertinent clinical information were obtained from the GSE28735, GSE62452, and TCGA-PAAD cohorts. GWAS data were retrieved from the FinnGen Release 11 and eQTLGen databases. For the drug-targe

SUBMITTER: Li CL 

PROVIDER: S-EPMC11813851 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature