| Literature DB >> 34019806 |
Alexander Bagaev1, Nikita Kotlov1, Krystle Nomie1, Viktor Svekolkin1, Azamat Gafurov1, Olga Isaeva1, Nikita Osokin1, Ivan Kozlov1, Felix Frenkel1, Olga Gancharova1, Nava Almog1, Maria Tsiper1, Ravshan Ataullakhanov2, Nathan Fowler3.
Abstract
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.Entities:
Keywords: biomarker discovery; cancer; genomics; integrated analysis; transcriptomics; tumor microenvironment classification
Mesh:
Substances:
Year: 2021 PMID: 34019806 DOI: 10.1016/j.ccell.2021.04.014
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743