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Updated: Jun 28, 2026

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使用机器学习对综合瘤基因表达和临床数据进行预测转移性尿路细胞癌患者的阿特佐利祖马布反应

Chayanit Piyawajanusorn1,2, Ghita Ghislat1,3, Pedro J Ballester4

  • 1Department of Bioengineering, Imperial College London, London, UK.

NPJ precision oncology
|June 10, 2025
PubMed
概括

难以预测转移性尿路细胞癌 (mUC) 对阿特佐利祖马布的反应. 使用基因表达数据的机器学习模型在识别将从这种免疫疗法中受益的患者方面表现出有希望.

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Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...