Integrated Analysis of ECT2 and COL17A1 as Potential Biomarkers for Pancreatic Cancer.

ABSTRACT:

Background

Pancreatic cancer (PC) is a malignant tumor of the digestive tract. It presents with atypical clinical symptoms and lacks specific diagnostic indicators. This study is aimed at exploring the potential biomarkers of PC.

Methods

TCGA database pancreatic cancer dataset was normalized and used to identify differentially expressed genes (DEGs). Survival, independent prognostic, and clinical correlation analyses were performed on DEGs to screen for key genes. DNA methylation, mutation, and copy number variation (CNV) analyses were used to analyze genetic variants in key genes. GSEA was performed to explore the functional enrichment of the key genes. Based on the expression of key genes, construction of a competing endogenous RNA (ceRNA) network, analysis of the tumor mi

SUBMITTER: Huang WL 

PROVIDER: S-EPMC9200569 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature