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Updated: Jul 4, 2025

Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors
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Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors

Published on: June 7, 2018

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综合生殖系和体质特征揭示了驱动ICB反应的不同免疫路径

Timothy Sears1, Meghana Pagadala2, Andrea Castro3

  • 1Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA USA.

bioRxiv : the preprint server for biology
|January 31, 2024
PubMed
概括

机器学习通过分析患者生物标志物来预测癌症免疫治疗反应. 了解新抗原对MHC-I与MHC-II途径的依赖,揭示了明显的临床益处和潜在的治疗点,如LAG3.

关键词:
抗瘤免疫力 抗瘤免疫力生殖系变体的生殖系变体免疫检查点封锁封锁免疫逃避 免疫逃避机器学习是机器学习.

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