Zhang Wen, Kong Defeng, Li Guoliang, Yang Zhenrong, Cheng Shujun, Li Hong, Feng Lin, Zhang Kaitai
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.
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.
Heliyon. 2023 Jun 5;9(6):e16478. doi: 10.1016/j.heliyon.2023.e16478. eCollection 2023 Jun.
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.
趋化因子在预测结肠癌预后方面的作用尚未被提及。趋化因子已被证明与免疫细胞趋化和激活有关,因此肿瘤组织中趋化因子基因的表达可能与预后相关。我们使用基于趋化因子基因家族的最小绝对收缩和选择算子(LASSO)模型构建了一个可以预测结肠癌患者预后的模型。我们将患者分为高风险组和低风险组来研究预后。然后,我们评估了不同风险组在免疫细胞浸润方面的关系。发现高风险组的免疫细胞浸润较少。我们基于模型分层进行了功能富集分析,探索了高风险组和低风险组中富集的生物信号通路,这为研究其影响预后背后的机制提供了思路。此外,趋化因子相关基因特征可以预测患者对免疫治疗和化疗的反应。