Farcast Biosciences India Pvt. Ltd, Bangalore, Karnataka, India.
Vydehi Institute of Medical Sciences & Research Centre, Bangalore, Karnataka, India.
Nat Commun. 2024 Feb 21;15(1):1585. doi: 10.1038/s41467-024-45723-z.
Dynamic interactions within the tumor micro-environment drive patient response to immune checkpoint inhibitors. Existing preclinical models lack true representation of this complexity. Using a Head and Neck cancer patient derived TruTumor histoculture platform, the response spectrum of 70 patients to anti-PD1 treatment is investigated in this study. With a subset of 55 patient samples, multiple assays to characterize T-cell reinvigoration and tumor cytotoxicity are performed. Based on levels of these two response parameters, patients are stratified into five sub-cohorts, with the best responder and non-responder sub-cohorts falling at extreme ends of the spectrum. The responder sub-cohort exhibits high T-cell reinvigoration, high tumor cytotoxicity with T-cells homing into the tumor upon treatment whereas immune suppression and tumor progression pathways are pre-dominant in the non-responders. Some moderate responders benefit from combination of anti-CTLA4 with anti-PD1, which is evident from better cytotoxic T-cell: T-regulatory cell ratio and enhancement of tumor cytotoxicity. Baseline and on-treatment gene expression signatures from this study stratify responders and non-responders in unrelated clinical datasets.
肿瘤微环境中的动态相互作用驱动患者对免疫检查点抑制剂的反应。现有的临床前模型缺乏对这种复杂性的真实表现。本研究使用头颈部癌症患者衍生的 TruTumor 组织培养平台,研究了 70 名患者对抗 PD1 治疗的反应谱。在 55 名患者样本的亚组中,进行了多种检测以评估 T 细胞再激活和肿瘤细胞毒性。基于这两个反应参数的水平,患者被分为五个亚组,最佳反应者和非反应者亚组处于极端范围。反应者亚组表现出高 T 细胞再激活、高肿瘤细胞毒性,治疗后 T 细胞归巢至肿瘤,而免疫抑制和肿瘤进展途径在非反应者中占主导地位。一些中度反应者从抗 CTLA4 与抗 PD1 的联合治疗中获益,这从更好的细胞毒性 T 细胞:调节性 T 细胞比值和增强肿瘤细胞毒性中可以看出。本研究中的基线和治疗期间基因表达特征可将反应者和无反应者在无关的临床数据集进行分层。