Construction and validation of a chemokine family-based signature for the prediction of prognosis and therapeutic response in colon cancer

Wen Zhang; Defeng Kong; Guoliang Li; Zhenrong Yang; Shujun Cheng; Hong Li; Lin Feng; Kaitai Zhang

doi:10.1016/j.heliyon.2023.e16478

Construction and validation of a chemokine family-based signature for the prediction of prognosis and therapeutic response in colon cancer

Heliyon. 2023 Jun 5;9(6):e16478. doi: 10.1016/j.heliyon.2023.e16478. eCollection 2023 Jun.

Authors

Wen Zhang^{1

2}, Defeng Kong³, Guoliang Li³, Zhenrong Yang³, Shujun Cheng³, Hong Li⁴, Lin Feng³, Kaitai Zhang³

Affiliations

¹ Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
² National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Provincial Cooperative Innovation Center of Industrial Fermentation, College of Bioengineering, Hubei University of Technology, Wuhan 430068, China.
³ State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
⁴ Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, 28 Fuxing Road Beijing 100853, PR China.

Abstract

The role of chemokines in predicting the prognosis of colon cancer has not been mentioned. Chemokines have been shown to be associated with immune cell chemotaxis and activation, so the expression of chemokine genes in tumor tissue may be related to prognosis. We used a least absolute shrinkage and selection operator (LASSO) model based on chemokine gene families to construct a model that can predict the prognosis of colon cancer patients. We divided patients into high-risk groups and low-risk groups to study the prognosis. Then, we evaluated the relationship between the different risk groups in infiltration of immune cells. It was found that there was less immune cell infiltration in the high-risk group. We conducted a functional enrichment analysis based on model stratification, and explored the biological signal pathways enriched in the high and low-risk groups, which provided ideas for studying the mechanism behind its impact on prognosis. In addition, the chemokine-related gene signature could predict the response of patients to immunotherapy and chemotherapy.

Keywords: Chemokine; Colon cancer; Immune cell infiltration; Prognosis.