Expression levels of chemokine (C-X-C motif) ligands CXCL1 and CXCL3 as prognostic biomarkers in rectal adenocarcinoma: evidence from Gene Expression Omnibus (GEO) analyses

Bioengineered. 2021 Dec;12(1):3711-3725. doi: 10.1080/21655979.2021.1952772.

Abstract

Rectal cancer is a life‑threatening disease worldwide. Chemotherapy resistance is common in rectal adenocarcinoma patients and has unfavorable survival outcomes; however, its related molecular mechanisms remain unknown. To identify genes related to the initiation and progression of rectal adenocarcinoma, three datasets were obtained from the Gene Expression Omnibus database. In total, differentially expressed genes were analyzed from 294 tumor and 277 para-carcinoma samples from patients with rectal cancer. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functions were investigated. Cytoscape software and MicroRNA Enrichment Turned Network were applied to construct a protein-protein interaction network of the dependent hub genes and related microRNAs. The Oncomine database was used to identify hub genes. Additionally, Gene Expression Profiling Interactive Analysis was applied to determine the RNA expression level. Tumor immune infiltration was assessed using the Tumor Immune Estimation Resource database. The expression profiles of hub genes between stages, and their prognostic value, were also evaluated. During this study, data from The Cancer Genome Atlas were utilized. In rectal adenocarcinoma, four hub genes including CXCL1, CXCL2, CXCL3, and GNG4 were highly expressed at the gene and RNA levels. The expression of CXCL1, CXCL2, and CXCL3 was regulated by has-miR-1-3p and had a strong positive correlation with macrophage and neutrophil. CXCL2 and CXCL3 were differentially expressed at different tumor stages. High expression levels of CXCL1 and CXCL3 predicted poor survival. In conclusion, the CXCL1 and CXCL3 genes may have potential for prognosis and molecular targeted therapy of rectal adenocarcinoma.

Keywords: CXCL1; CXCL2; CXCL3; Rectal adenocarcinoma; bioinformatics analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma* / diagnosis
  • Adenocarcinoma* / genetics
  • Adenocarcinoma* / mortality
  • Biomarkers, Tumor
  • Chemokine CXCL1 / genetics*
  • Chemokines, CXC / genetics*
  • Databases, Genetic
  • Humans
  • Prognosis
  • Rectal Neoplasms* / diagnosis
  • Rectal Neoplasms* / genetics
  • Rectal Neoplasms* / mortality
  • Transcriptome / genetics

Substances

  • Biomarkers, Tumor
  • CXCL1 protein, human
  • CXCL3 protein, human
  • Chemokine CXCL1
  • Chemokines, CXC

Grants and funding

This work was supported by the Wenzhou Science and Technology Bureau under Grant number Y20180220.