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六种病毒相关癌症的基因组特征分析揭示了肿瘤免疫微环境的变化和遗传程序的改变。

Genomic Characterization of Six Virus-Associated Cancers Identifies Changes in the Tumor Immune Microenvironment and Altered Genetic Programs.

机构信息

Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.

Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.

出版信息

Cancer Res. 2018 Nov 15;78(22):6413-6423. doi: 10.1158/0008-5472.CAN-18-1342. Epub 2018 Sep 25.

DOI:10.1158/0008-5472.CAN-18-1342
PMID:30254145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6239894/
Abstract

Viruses affect approximately 20% of all human cancers and induce expression of immunogenic viral oncoproteins that make these tumors potent targets for immune checkpoint inhibitors. In this study, we apply computational tools to The Cancer Genome Atlas (TCGA) and other genomic datasets to define how virus infection shapes the tumor immune microenvironment and genetic architecture of 6 virus-associated tumor types. Across cancers, the cellular composition of the microenvironment varied by viral status, with virus-positive tumors often exhibiting increased infiltration of cytolytic cell types compared with their virus-negative counterparts. Analyses of the infiltrating T-cell receptor repertoire in these patients revealed that Epstein-Barr virus infection was associated with decreased receptor diversity in multiple cancers, suggesting an antigen-driven clonal T-cell response. Tissue-specific gene-expression signatures capturing virus-associated transcriptomic changes successfully predicted virus status in independent datasets and were associated with both immune- and proliferation-related features that were predictive of patient prognosis. Together, the analyses presented suggest viruses have distinct effects in different tumors, with implications for immunotherapy. This study utilizes TCGA and other genomic datasets to further our understanding of how viruses affect the tumor immune response in different cancer types. http://cancerres.aacrjournals.org/content/canres/78/22/6413/F1.large.jpg .

摘要

病毒影响约 20%的所有人类癌症,并诱导免疫原性病毒癌蛋白的表达,使这些肿瘤成为免疫检查点抑制剂的潜在靶点。在这项研究中,我们应用计算工具分析癌症基因组图谱(TCGA)和其他基因组数据集,以定义病毒感染如何塑造 6 种病毒相关肿瘤类型的肿瘤免疫微环境和遗传结构。在癌症中,微环境的细胞组成因病毒状态而异,与病毒阴性肿瘤相比,病毒阳性肿瘤通常表现出细胞毒性细胞类型的浸润增加。对这些患者浸润性 T 细胞受体库的分析表明,EB 病毒感染与多种癌症中受体多样性的降低有关,提示存在抗原驱动的克隆性 T 细胞反应。捕获与病毒相关转录组变化的组织特异性基因表达特征成功预测了独立数据集的病毒状态,并与免疫和增殖相关特征相关,这些特征可预测患者预后。综上所述,这些分析表明病毒在不同肿瘤中有不同的作用,对免疫治疗有影响。本研究利用 TCGA 和其他基因组数据集,进一步了解病毒如何影响不同癌症类型的肿瘤免疫反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/cb078e27272f/nihms-1507940-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/b65179bf7335/nihms-1507940-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/a7e0fa8a3b99/nihms-1507940-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/da5b80b49e88/nihms-1507940-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/ec71a49b663a/nihms-1507940-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/cb078e27272f/nihms-1507940-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/b65179bf7335/nihms-1507940-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/a7e0fa8a3b99/nihms-1507940-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/da5b80b49e88/nihms-1507940-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/ec71a49b663a/nihms-1507940-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef4/6239894/cb078e27272f/nihms-1507940-f0005.jpg

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