Conserved pan-cancer microenvironment subtypes predict response to immunotherapy
| Autor: | Nikita Osokin, Maria Tsiper, Nava Almog, Olga Isaeva, Viktor Svekolkin, O. S. Gancharova, Ivan Kozlov, Nikita Kotlov, Ataullakhanov Ravshan I, Azamat Gafurov, Felix Frenkel, Krystle Nomie, Alexander Bagaev, Nathan Fowler |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Cancer Research Skin Neoplasms Databases Factual medicine.medical_treatment Biology Targeted therapy Transcriptome 03 medical and health sciences 0302 clinical medicine Cancer-Associated Fibroblasts Neoplasms medicine Tumor Microenvironment Humans Biomarker discovery Precision Medicine Immune Checkpoint Inhibitors Melanoma Tumor microenvironment Translational bioinformatics Data Visualization Gene Expression Profiling Cancer Immunotherapy medicine.disease Biomarker (cell) Gene Expression Regulation Neoplastic 030104 developmental biology Treatment Outcome Oncology 030220 oncology & carcinogenesis Cancer research sense organs |
| Zdroj: | Cancer cell. 39(6) |
| ISSN: | 1878-3686 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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