乳腺癌中M2样巨噬细胞浸润相关基因模型的预后和免疫学价值
Prognostic and immunological value of M2-like macrophage-related risk model in breast cancer
米叶沙尔·安尼娃尔 1郭凡 1孔维娜 1何伟澜 1夏菲菲 1马秀敏1
作者信息
- 1. 新疆医科大学第三临床医学院 医学检验中心,新疆 乌鲁木齐 830011
- 折叠
摘要
目的:乳腺癌发展不但涉及癌细胞的基因改变,还与肿瘤微环境相关.肿瘤相关巨噬细胞(TAMs)是乳腺肿瘤微环境中最丰富且活跃的免疫细胞.本研究旨在探索M2 样巨噬细胞(M2-TAMs)相关基因作为评估乳腺癌个体风险生物标志物的潜力.方法:利用癌症基因组图谱数据库(TCGA)和基因表达综合数据库(GEO),筛选M2-TAMs相关基因后采用比例风险回归(Cox)及最小绝对收缩和选择算子(LASSO)回归分析,建立M2-TAMs相关基因模型,将患者分为高、低危组进行生存、临床特征、免疫学等分析.结果:M2-TAMs相关基因模型中低危组患者的预后明显优于高危组,并且模型中的风险评分可作为乳腺癌患者预后的独立预测因子,另结合临床特征和风险评分可更准确地评估患者预后.大部分免疫细胞在低危组中呈高度浸润,两组患者在免疫功能上存在显著差异,且有许多差异表达的免疫检查点相关基因.结论:M2-TAMs相关基因模型表现出突出的预测性能,并为评估免疫治疗的成功提供了新的观点,有助于为精确治疗和综合治疗提供新的见解.
Abstract
Objective:The development of breast cancer is not only related to the genetic changes of tumor cells,but also to the tumor microenvironment.Tumor-associated macrophages(TAMs)are the most abundant and active immune cells in breast tumor microenvironment.This study aimed to explore the potential of M2 macrophages(M2-TAMs)related genes as biomarkers to assess individual risk of breast cancer.Methods:Using the Cancer Genome Atlas(TCGA)and the Gene Expression Omnibus(GEO)databases,the M2-TAMs related genes were screened,then,the proportional hazards model(Cox)and Least Absolute Value Convergence and Selection Operator(LASSO)regression analysis were used to establish the M2-TAMs related risk model.Patients were divided into high-risk and low-risk groups for survival,clinical characteristics,and immunology analysis.Results:The prognosis of patients in the low-risk group in the M2-TAMs related risk model was obviously better than that in the high-risk group.Mo-reover,the risk score in the model can be used as an independent predictor of the prognosis of breast cancer pa-tients,and combined with clinical characteristics and risk score,the prognosis of patients can be evaluated more ac-curately.Most immune cells were highly infiltrated in the low-risk group and there were significant differences in immune function between the two groups,and there were many differentially expressed immune checkpoint-related genes.Conclusion:M2-TAMs related risk model shows outstanding predictive performance,and provides a new perspective for evaluating the success of immunotherapy,which is helpful to provide new insights for precise treat-ment and comprehensive treatment.
关键词
乳腺癌/M2样肿瘤相关巨噬细胞/免疫浸润/预后风险模型Key words
breast cancer/M2-like tumor-associated macrophages/immune infiltration/prognostic risk model引用本文复制引用
基金项目
新疆维吾尔自治区卫生健康青年医学科技人才专项科研项目(WJWY-202403)
新疆维吾尔自治区"天池英才"引进计划项目(2022TCYCGF)
新疆维吾尔自治区自然科学基金资助项目(2021D01C402)
新疆医科大学附属肿瘤医院人才扶持项目(2021KX002)
出版年
2024
NETL
NSTL
维普
万方数据