Integrated bioinformatics analysis identified COL11A1 as an immune infiltrates correlated prognosticator in pancreatic adenocarcinoma

Pancreatic adenocarcinoma (PAAD) is the most common pancreatic cancer, with high mortality rate and limited treatment options. Tumor infiltrating cells and genes in microenvironment are emerging as pivotal players in PAAD progression and prognosis. In this study, we obtained genes expression data set GSE119794 of PAAD, which contains data from 10 tumor and 10 normal samples. A total of 262 differentially expressed genes (DEGs), including 169 up-regulated and 93 down-regulated genes, were obtained based on expression fold change and significance. Combining the pathway analysis of DEGs and GSEA analysis of all genes, four KEGG pathways were enriched. The 4 pathways include pancreatic secretion, protein digestion and absorption, fat digestion and absorption, and PPAR signaling pathways. Functional enrichment of Gene Ontology significantly enriched extracellular matrix, an important component in microenvironment. In the Protein-protein interaction (PPI) network, we screened out 3 hub genes of COL11A1, KRT19 and CXCL5 by CytoHubba. At last, the expression level, prognostic significance and correlation with tumor infiltrates were validated in TCGA database, with GEPIA and TIMER. The validation identified Collagen Type XI Alpha 1 Chain (COL11A1), an extracellular matrix structural constituent, as a hazardous prognosticator with significant correlation with macrophage, neutrophil and dendritic cells. In sum, we identified COL11A1 as an immune infiltrates correlated prognosticator in pancreatic adenocarcinoma.

Automated summary

This study analyzed differential gene expression in PAAD and identified COL11A1 as an immune infiltrates correlated prognosticator in pancreatic adenocarcinoma, highlighting its potential as a significant predictor in the disease.