An inflammatory biomarker signature of response to CAR-T cell therapy in non-Hodgkin lymphoma

IF 50 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nature Medicine Pub Date : 2025-04-01 DOI:10.1038/s41591-025-03532-x
Sandeep S. Raj, Teng Fei, Shalev Fried, Andrew Ip, Joshua A. Fein, Lori A. Leslie, Ana Alarcon Tomas, Doris Leithner, Jonathan U. Peled, Magdalena Corona, Parastoo B. Dahi, Ivetta Danylesko, Zachary Epstein-Peterson, Tyler Funnell, Sergio A. Giralt, Elad Jacoby, Meirav Kedmi, Ivan Landego, Richard J. Lin, Allison Parascondola, Lauren Pascual, Natali Orozco, Jae H. Park, M. Lia Palomba, Gilles Salles, Amethyst Saldia, Heiko Schöder, Inbal Sdayoor, Gunjan L. Shah, Michael Scordo, Noga Shem-Tov, Avichai Shimoni, John Slingerland, Ronit Yerushalmi, Arnon Nagler, Benjamin D. Greenbaum, Andrew J. Vickers, Hyung C. Suh, Abraham Avigdor, Miguel-Angel Perales, Marcel R. M. van den Brink, Roni Shouval
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Abstract

Disease progression is a substantial challenge in patients with non-Hodgkin lymphoma (NHL) undergoing chimeric antigen receptor T cell (CAR-T) therapy. Here we present InflaMix (INFLAmmation MIXture Model), an unsupervised quantitative model integrating 14 pre-CAR-T infusion laboratory and cytokine measures capturing inflammation and end-organ function. Developed using a cohort of 149 patients with NHL, InflaMix revealed an inflammatory signature associated with a high risk of CAR-T treatment failure, including increased hazard of death or relapse (hazard ratio, 2.98; 95% confidence interval, 1.60–4.91; P < 0.001). Three independent cohorts comprising 688 patients with NHL from diverse treatment centers were used to validate our approach. InflaMix consistently and reproducibly identified patients with a higher likelihood of disease relapse and mortality, and it provided supplementary predictive value beyond established prognostic markers, including tumor burden. Moreover, InflaMix exhibited robust performance in cases with missing data, maintaining accuracy when considering only six readily available laboratory measures. These findings show that InflaMix is a valuable tool for point-of-care clinical decision-making in patients with NHL undergoing CAR-T therapy. A preinfusion circulatory inflammation biomarker-based signature predicts the likelihood of treatment failure in patients with non-Hodgkin lymphoma who were treated with CAR-T cell therapy, with an inflammatory cluster assignment being prognostic of clinical response and survival outcomes.

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非霍奇金淋巴瘤对CAR-T细胞治疗反应的炎症生物标志物标志
在接受嵌合抗原受体T细胞(CAR-T)治疗的非霍奇金淋巴瘤(NHL)患者中,疾病进展是一个重大挑战。在这里,我们提出了InflaMix(炎症混合模型),这是一个无监督的定量模型,整合了14个car - t前输注实验室和细胞因子测量,捕获炎症和终末器官功能。对149名NHL患者的队列研究发现,InflaMix显示出与CAR-T治疗失败高风险相关的炎症特征,包括死亡或复发的风险增加(风险比,2.98;95%置信区间为1.60-4.91;P < 0.001)。三个独立队列包括来自不同治疗中心的688例NHL患者来验证我们的方法。InflaMix持续且可重复地识别出疾病复发和死亡可能性较高的患者,并且它提供了除了已建立的预后标志物(包括肿瘤负担)之外的补充预测价值。此外,在缺少数据的情况下,InflaMix表现出强大的性能,在仅考虑六种现成的实验室测量方法时保持准确性。这些发现表明,对于接受CAR-T治疗的NHL患者,InflaMix是一个有价值的临床决策工具。
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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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