Bioinformatics-based construction of prognosis-related methylation prediction model for pancreatic cancer patients and its application value.

ABSTRACT: Objective: Pancreatic adenocarcinoma (PAAD) is a highly malignant gastrointestinal tumor with almost similar morbidity and mortality. In this study, based on bioinformatics, we investigated the role of gene methylation in PAAD, evaluated relevant factors affecting patient prognosis, screened potential anti-cancer small molecule drugs, and constructed a prediction model to assess the prognosis of PAAD. Methods: Clinical and genomic data of PAAD were collected from the Tumor Genome Atlas Project (TCGA) database and gene expression profiles were obtained from the GTEX database. Analysis of differentially methylated genes (DMGs) and significantly differentially expressed genes (DEGs) was performed on tumorous samples with KRAS wild-type and normal samples using the "limma" packag

SUBMITTER: Cao T 

PROVIDER: S-EPMC10034005 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature