Centre de Recherche en Cancérologie de Marseille, SMARTc, Aix-Marseille Université, Inserm U1068, CNRS UMR 7258, Institut Paoli Calmettes, 13009, Marseille, France.
Assistance Publique Hôpitaux de Marseille, Marseille, France.
Br J Cancer. 2020 Aug;123(3):337-338. doi: 10.1038/s41416-020-0918-3. Epub 2020 Jun 16.
This project aims to generate dense longitudinal data in lung cancer patients undergoing anti-PD1/PDL1 therapy. Mathematical modelling with mechanistic learning algorithms will help decipher the mechanisms underlying the response or resistance to immunotherapy. A better understanding of these mechanisms should help identifying actionable items to increase the efficacy of immune-checkpoint inhibitors.
本项目旨在生成接受抗 PD1/PDL1 治疗的肺癌患者的密集纵向数据。使用具有机械学习算法的数学模型将有助于破译免疫疗法反应或耐药的机制。更好地了解这些机制应有助于确定可操作的项目,以提高免疫检查点抑制剂的疗效。