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乳腺癌中肿瘤浸润免疫细胞的调控与特征分析

Regulation and characterization of tumor-infiltrating immune cells in breast cancer.

作者信息

Dai Qile, Wu Weimiao, Amei Amei, Yan Xiting, Lu Lingeng, Wang Zuoheng

机构信息

Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.

Department of Mathematical Sciences, University of Nevada, Las Vegas, NV, USA.

出版信息

Int Immunopharmacol. 2021 Jan;90:107167. doi: 10.1016/j.intimp.2020.107167. Epub 2020 Nov 19.

Abstract

The effect of immunosuppression blockade therapies depends on the infiltration of effector T cells and other immune cells in tumor. However, it is unclear how molecular pathways regulate the infiltration of immune cells, as well as how interactions between tumor-infiltrating immune cells and T cell activation affect breast cancer patient survival. CIBERSORT was used to estimate the relative abundance of 22 immune cell types. The association between mRNAs and immune cell abundance were assessed by Spearman correlation analysis. Enriched pathways were identified using MetaCore pathway analysis. The interactions between the T cell activation status and the abundance of tumor-infiltrating immune cells were evaluated using Kaplan-Meier survival and multivariate Cox regression models in a publicly available dataset of 1081 breast cancer patients. The role of tumor-infiltrating B cells in antitumor immunity, immune response of T cell subsets, and breakdown of CD4 T cell peripheral tolerance were positively associated with M1 macrophage and CD8 T cell but negatively associated with M2 macrophage. Abundant plasma cell was associated with prolonged survival (HR = 0.46, 95% CI: 0.32-0.67), and abundant M2 macrophage was associated with shortened survival (HR = 1.78, 95% CI: 1.23-2.60). There exists a significant interaction between the T cell activation status and the resting DC abundance level (p = 0.025). Molecular pathways associated with tumor-infiltrating immune cells provide future directions for developing cancer immunotherapies to control immune cell infiltration, and further influence T cell activation and patient survival in breast cancer.

摘要

免疫抑制阻断疗法的效果取决于效应T细胞和其他免疫细胞在肿瘤中的浸润情况。然而,目前尚不清楚分子途径如何调节免疫细胞的浸润,以及肿瘤浸润免疫细胞与T细胞活化之间的相互作用如何影响乳腺癌患者的生存。使用CIBERSORT来估计22种免疫细胞类型的相对丰度。通过Spearman相关性分析评估mRNA与免疫细胞丰度之间的关联。使用MetaCore通路分析确定富集的通路。在一个包含1081例乳腺癌患者的公开数据集中,使用Kaplan-Meier生存分析和多变量Cox回归模型评估T细胞活化状态与肿瘤浸润免疫细胞丰度之间的相互作用。肿瘤浸润B细胞在抗肿瘤免疫中的作用、T细胞亚群的免疫反应以及CD4 T细胞外周耐受的破坏与M1巨噬细胞和CD8 T细胞呈正相关,但与M2巨噬细胞呈负相关。丰富的浆细胞与生存期延长相关(风险比=0.46,95%置信区间:0.32-0.67),而丰富的M2巨噬细胞与生存期缩短相关(风险比=1.78,95%置信区间:1.23-2.60)。T细胞活化状态与静息树突状细胞丰度水平之间存在显著的相互作用(p=0.025)。与肿瘤浸润免疫细胞相关的分子途径为开发控制免疫细胞浸润的癌症免疫疗法提供了未来方向,并进一步影响乳腺癌中T细胞的活化和患者的生存。

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Profiling Tumor Infiltrating Immune Cells with CIBERSORT.使用CIBERSORT分析肿瘤浸润免疫细胞
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