Affiliation:
1. School of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
2. School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China
Abstract
Chemokines are key proteins that regulate cell migration and immune responses and are essential for modulating the tumor microenvironment. Despite their close association with colon cancer, the expression patterns, prognosis, immunity, and specific roles of chemokines in colon cancer are still not fully understood. In this study, we investigated the mutational features, differential expression, and immunological characteristics of chemokines in colon cancer (COAD) by analyzing the Tumor Genome Atlas (TCGA) database. We clarified the biological functions of these chemokines using Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. By univariate and multivariate COX regression analyses, we developed chemokine-based prognostic risk models. In addition, using Gene Set Enrichment Analysis (GSEA) and Gene Set Variant Analysis (GSVA), we analyzed the differences in immune responses and signaling pathways among different risk groups. The results showed that the mutation rate of chemokines was low in COAD, but 25 chemokines were significantly differentially expressed. These chemokines function in several immune-related biological processes and play key roles in signaling pathways including cytokine–cytokine receptor interactions, NF-kappa B, and IL-17. Prognostic risk models based on CCL22, CXCL1, CXCL8, CXCL9, and CXCL11 performed well. GSEA and GSVA analyses showed significant differences in immune responses and signaling pathways across risk groups. In conclusion, this study reveals the potential molecular mechanisms of chemokines in COAD and proposes a new prognostic risk model based on these insights.
Funder
Jiangsu Province Postgraduate Scientific Research and Practice Innovation Program
NATCM’s Project of High-level Construction of Key TCM Disciplines
Reference62 articles.
1. Cancer statistics, 2023;Siegel;CA Cancer J. Clin.,2023
2. Hossain, M.S., Karuniawati, H., Jairoun, A.A., Urbi, Z., Ooi, J., John, A., Lim, Y.C., Kibria, K.M.K., Mohiuddin, A.K.M., and Ming, L.C. (2022). Colorectal Cancer: A Review of Carcinogenesis, Global Epidemiology, Current Challenges, Risk Factors, Preventive and Treatment Strategies. Cancers, 14.
3. Pathological Features and Prognostication in Colorectal Cancer;Chen;Curr. Oncol.,2021
4. Colorectal cancer statistics, 2023;Siegel;CA Cancer J. Clin.,2023
5. Clinical advances in molecular biomarkers for cancer diagnosis and therapy;Sethi;Int. J. Mol. Sci.,2013