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

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.

Automated summary

This study investigates the role of chemokines in predicting the prognosis of colon cancer. It suggests that the expression of chemokine genes in tumor tissue may be related to prognosis. Using a LASSO model based on chemokine gene families, the researchers construct a prediction model for colon cancer prognosis. They find that the high-risk group has less immune cell infiltration and the chemokine-related gene signature can predict patients' response to immunotherapy and chemotherapy.