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The FDA approval of pembrolizumab for adult and pediatric patients with tumor mutational burden (TMB) ≥10: a decision centered on empowering patients and their physicians.美国食品药品监督管理局(FDA)批准帕博利珠单抗用于肿瘤突变负荷(TMB)≥10的成人和儿童患者:一项以赋予患者及其医生权力为核心的决定。
Ann Oncol. 2020 Sep;31(9):1115-1118. doi: 10.1016/j.annonc.2020.07.002. Epub 2020 Aug 5.
2
MHC-I genotype and tumor mutational burden predict response to immunotherapy.MHC-I 基因型和肿瘤突变负担可预测免疫治疗的反应。
Genome Med. 2020 May 19;12(1):45. doi: 10.1186/s13073-020-00743-4.
3
Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.单细胞基因组测序揭示乳腺癌拷贝数遗传异质性的新见解。
Elife. 2020 May 13;9:e51480. doi: 10.7554/eLife.51480.
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Tumor Functional Heterogeneity Unraveled by scRNA-seq Technologies.单细胞 RNA 测序技术揭示肿瘤功能异质性。
Trends Cancer. 2020 Jan;6(1):13-19. doi: 10.1016/j.trecan.2019.11.010. Epub 2020 Jan 3.
5
Non-Genetic Intra-Tumor Heterogeneity Is a Major Predictor of Phenotypic Heterogeneity and Ongoing Evolutionary Dynamics in Lung Tumors.非遗传肿瘤内异质性是肺部肿瘤表型异质性和持续进化动态的主要预测因子。
Cell Rep. 2019 Nov 19;29(8):2164-2174.e5. doi: 10.1016/j.celrep.2019.10.045.
6
Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy.HLA 类 I 基因型的进化分歧影响癌症免疫疗法的疗效。
Nat Med. 2019 Nov;25(11):1715-1720. doi: 10.1038/s41591-019-0639-4. Epub 2019 Nov 7.
7
Suppression of tumor antigen presentation during aneuploid tumor evolution contributes to immune evasion.非整倍体肿瘤进化过程中肿瘤抗原呈递的抑制有助于免疫逃逸。
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Tumor neoantigens: from basic research to clinical applications.肿瘤新生抗原:从基础研究到临床应用。
J Hematol Oncol. 2019 Sep 6;12(1):93. doi: 10.1186/s13045-019-0787-5.
9
The Genomic Landscape of Merkel Cell Carcinoma and Clinicogenomic Biomarkers of Response to Immune Checkpoint Inhibitor Therapy.默克尔细胞癌的基因组特征及免疫检查点抑制剂治疗反应的临床基因组生物标志物。
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基于基因组学的免疫肿瘤学:弥合免疫学和肿瘤生物学之间的差距。

Genomics-based immuno-oncology: bridging the gap between immunology and tumor biology.

机构信息

Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Urology Department, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Hum Mol Genet. 2020 Oct 20;29(R2):R214-R225. doi: 10.1093/hmg/ddaa203.

DOI:10.1093/hmg/ddaa203
PMID:33029628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7574960/
Abstract

The first hypotheses about how the immune system affects cancers were proposed in the early 20th century. These early concepts about cancer immunosurveillance were further developed in the decades that followed, but a detailed understanding of cancer immunity remained elusive. It was only recently, through the advent of high-throughput technologies, that scientists gained the ability to profile tumors with a resolution that allowed for granular assessment of both tumor cells and the tumor microenvironment. The advent of immune checkpoint inhibitors (ICIs), which have proven to be effective cancer therapies in many malignancies, has spawned great interest in developing biomarkers for efficacy, an endeavor that highlighted the value of dissecting tumor immunity using large-scale methods. Response to ICI therapy has been shown to be a highly complex process, where the dynamics of tumor and immune cells is key to success. The need to understand the biologic mechanisms at the tumor-immune interface has given rise to the field of cancer immunogenomics, a discipline that aims to bridge the gap between cancer genomics and classical immunology. We provide a broad overview of this emerging branch of translational science, summarizing common platforms used and recent discoveries in the field, which are having direct clinical implications. Our discussion will be centered around the genetic foundations governing tumor immunity and molecular determinants associated with clinical benefit from ICI therapy. We emphasize the importance of molecular diversity as a driver of anti-tumor immunity and discuss how these factors can be probed using genomic approaches.

摘要

关于免疫系统如何影响癌症的第一个假设是在 20 世纪早期提出的。这些关于癌症免疫监视的早期概念在随后的几十年中得到了进一步发展,但对癌症免疫的详细了解仍然难以捉摸。直到最近,随着高通量技术的出现,科学家们才获得了对肿瘤进行分析的能力,其分辨率足以对肿瘤细胞和肿瘤微环境进行详细评估。免疫检查点抑制剂(ICIs)的出现,已被证明在许多恶性肿瘤中是有效的癌症治疗方法,这极大地激发了人们开发疗效生物标志物的兴趣,而这一努力突出了使用大规模方法剖析肿瘤免疫的价值。ICIs 治疗的反应被证明是一个高度复杂的过程,肿瘤和免疫细胞的动态是成功的关键。需要了解肿瘤免疫界面的生物学机制,这就催生了癌症免疫基因组学领域,该学科旨在弥合癌症基因组学和经典免疫学之间的差距。我们提供了这个新兴转化科学分支的广泛概述,总结了该领域常用的平台和最近的发现,这些发现具有直接的临床意义。我们的讨论将集中在控制肿瘤免疫的遗传基础和与 ICI 治疗临床获益相关的分子决定因素上。我们强调分子多样性作为抗肿瘤免疫的驱动力的重要性,并讨论如何使用基因组方法来探测这些因素。