CD8+ T 细胞和 M1 巨噬细胞的广泛浸润对接受化疗的多发性癌症患者有益

Yuquan Bai, He Xu, Minzhang Guo, Liang Xia, Senyi Deng
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摘要

由于肿瘤类型、分期、位置以及免疫细胞在肿瘤免疫微环境(TIME)中的分布不同,并非所有患者都能从化疗中获益。免疫细胞广泛参与癌症进展的每一步,包括免疫逃逸、转移、药物反应和预后。在这项研究中,我们探索了 10 例接受化疗的实体瘤的转录组数据,以确定免疫细胞的作用。我们从TCGA数据库中下载了10种癌症的转录组和突变数据,并使用ESTIMATE和CIBERSORT算法评估了免疫细胞在TIME中的比例。根据CD8+ T细胞和M1巨噬细胞的特异性免疫细胞浸润(SICI)比例对患者进行分组,我们发现,与SICI低组和中组相比,SICI高组的肿瘤突变负荷更大、免疫检查点(PD-1、PD-L1、CTLA-4、LAG-3、TIM-3 和 TIGIT)和免疫分子(CD8a、CD80、CD86、TLR2、HLA-A、HLA-B 和 CD11a)的活化程度更高(P <; 0.05).因此,我们可以通过明确 TIME 中 CD8+ T 细胞和 M1 巨噬细胞的免疫浸润比例来为患者选择合适的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Extensive infiltration of CD8+ T cells and M1 macrophages is beneficial for multiple cancer patients undergoing chemotherapy

Not all patients can benefit from chemotherapy due to the various of tumor type, stage, location, and the different distribution of immune cells in tumor immune microenvironment (TIME). Immune cells are widely involved in every step of cancer progression, including immune escape, metastasis, drug response, and prognosis. In this study, we explored the transcriptome data of 10 solid tumors treated with chemotherapy to identify the role of immune cells. We downloaded the transcriptome and mutation data of 10 cancers from TCGA databases, and used ESTIMATE and CIBERSORT algorithms to assess the proportion of immune cells in the TIME. According to the proportion of specific immune cell infiltration (SICI) of CD8+ T cells and M1 macrophages to group the patients, we found that compared with the SICI low and medium groups, the SICI high group had a larger tumor mutation burden, more gene mutations with targeted drugs, more activation of immune checkpoints (PD-1, PD-L1, CTLA-4, LAG-3, TIM-3, and TIGIT), and immune molecules (CD8a, CD80, CD86, TLR2, HLA-A, HLA-B, and CD11a) (p < 0.05). Therefore, we can select an appropriate treatment for patients by clarifying the proportion of immune infiltration of CD8+ T cells and M1 macrophages in the TIME.

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