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Transcriptomic analysis reveals immune infiltration status and potential biomarkers of canine colorectal cancer. | LitMetric

Transcriptomic analysis reveals immune infiltration status and potential biomarkers of canine colorectal cancer.

Vet Immunol Immunopathol

Department of Veterinary Clinical Sciences, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China. Electronic address:

Published: August 2023

AI Article Synopsis

  • * Analysis of canine colorectal tumors showed strong involvement of immune-related pathways and suggested a state of immunosuppression due to the presence of specific immune cells.
  • * Identification of three core genes (CD44, NAT10, and ETV4) that are conserved across species may provide insights into CRC pathogenesis and serve as potential therapeutic targets for future studies.

Article Abstract

Colorectal cancer (CRC) in dogs has been shown to have similar molecular characteristics to human colorectal cancer. Although researchers have explored the pathogenesis and immune status of human CRC, the canine CRC has been far less studied. As a result, we analyzed canine colorectal tumors and normal canine intestinal samples by Gene Set Enrichment Analysis (GSEA) and found significant enrichment of immune-related pathways, including the TNF-α signaling pathway and IL6-STAT3 signaling pathway. In addition, the differential infiltration of naive B cells and regulatory T cells suggested that canine CRC was in a state of immunosuppression. Weighted gene co-expression network analysis (WGCNA) revealed the gene modules that contribute to differences in regulatory T cell inetfiltration, Further cross-validation of canine and human CRC differential genes obtained three core genes that are both species-conserved and differentially expressed, CD44, NAT10, and ETV4, of which NAT10 and ETV4 have been little studied in the immune status of colorectal cancer. Our findings may have implications for the pathogenesis and progression of CRC in dogs and could be a new potential therapeutic target for CMT and provide a bioinformatics foundation for later clinical experiment validation.

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Source
http://dx.doi.org/10.1016/j.vetimm.2023.110622DOI Listing

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