肿瘤微环境
免疫疗法
生物
转录组
癌症
癌症免疫疗法
计算生物学
癌症研究
免疫检查点
生物标志物
个性化医疗
免疫系统
免疫学
生物信息学
遗传学
基因
基因表达
作者
Alexander Bagaev,Nikita Kotlov,Krystle Nomie,Viktor Svekolkin,Azamat Gafurov,Olga I. Isaeva,Nikita Osokin,И. Г. Козлов,Felix Frenkel,Olga Gancharova,Nava Almog,Maria Tsiper,Ravshan Ataullakhanov,Nathan Fowler
出处
期刊:Cancer Cell
[Elsevier]
日期:2021-05-20
卷期号:39 (6): 845-865.e7
被引量:682
标识
DOI:10.1016/j.ccell.2021.04.014
摘要
The clinical use of molecular targeted therapy is rapidly evolving but has primarily focused on genomic alterations. Transcriptomic analysis offers an opportunity to dissect the complexity of tumors, including the tumor microenvironment (TME), a crucial mediator of cancer progression and therapeutic outcome. TME classification by transcriptomic analysis of >10,000 cancer patients identifies four distinct TME subtypes conserved across 20 different cancers. The TME subtypes correlate with patient response to immunotherapy in multiple cancers, with patients possessing immune-favorable TME subtypes benefiting the most from immunotherapy. Thus, the TME subtypes act as a generalized immunotherapy biomarker across many cancer types due to the inclusion of malignant and microenvironment components. A visual tool integrating transcriptomic and genomic data provides a global tumor portrait, describing the tumor framework, mutational load, immune composition, anti-tumor immunity, and immunosuppressive escape mechanisms. Integrative analyses plus visualization may aid in biomarker discovery and the personalization of therapeutic regimens.
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