18F-FDG PET/CT metrics-based stratification of large B-cell lymphoma receiving CAR-T cell therapy: immunosuppressive tumor microenvironment as a negative prognostic indicator in patients with high tumor burden

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Ling-Shuang Sheng, Rong Shen, Zi-Xun Yan, Chao Wang, Xin Zheng, Yi-Lun Zhang, Hao-Xu Yang, Wen Wu, Peng-Peng Xu, Shu Cheng, Emmanuel Bachy, Pierre Sesques, Nicolas Jacquet-Francillon, Xu-Feng Jiang, Wei-Li Zhao, Li Wang
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引用次数: 0

Abstract

Chimeric antigen receptor T (CAR-T) cell therapy has greatly improved the prognosis of relapsed and refractory patients with large B-cell lymphoma (LBCL). Early identification and intervention of patients who may respond poorly to CAR-T cell therapy will help to improve the efficacy. Ninety patients from a Chinese cohort who received CAR-T cell therapy and underwent 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scans at the screening stage (median time to infusion 53.5 days, range 27–176 days), 1 month and 3 months after CAR-T cell infusion were analyzed, with RNA-sequencing conducted on 47 patients at the screening stage. Patients with maximum diameter of the largest lesion (Dmax) < 6 cm (N = 60) at screening stage showed significantly higher 3-month complete response rate (85.0% vs. 33.3%, P < 0.001), progression-free survival (HR 0.17; 95% CI 0.08–0.35, P < 0.001) and overall survival (HR 0.18; 95% CI 0.08–0.40, P < 0.001) than those with Dmax ≥ 6 cm (N = 30). Besides, at the screening stage, Dmax combined with extranodal involvement was more efficient in distinguishing patient outcomes. The best cut-off values for total metabolic tumor volume (tMTV) and total lesion glycolysis (tTLG) at the screening stage were 50cm3 and 500 g, respectively. A prediction model combining maximum standardized uptake value (SUVmax) at 1 month after CAR-T cell therapy (M1) and tTLG clearance rate was established to predict early progression for partial response/stable disease patients evaluated at M1 after CAR-T cell therapy and validated in Lyon cohort. Relevant association of the distance separating the two farthest lesions, standardized by body surface area to the severity of neurotoxicity (AUC = 0.74; P = 0.034; 95% CI, 0.578–0.899) after CAR-T cell therapy was found in patients received axicabtagene ciloleucel. In patients with Dmax ≥ 6 cm, RNA-sequencing analysis conducted at the screening stage showed enrichment of immunosuppressive-related biological processes, as well as increased M2 macrophages, cancer-associated fibroblasts, myeloid-derived suppressor cells, and intermediate exhausted T cells. Collectively, immunosuppressive tumor microenvironment may serve as a negative prognostic indicator in patients with high tumor burden who respond poorly to CAR-T cell therapy.
基于18F-FDG PET/CT指标对接受CAR-T细胞疗法的大B细胞淋巴瘤进行分层:免疫抑制性肿瘤微环境是高肿瘤负荷患者的一个负面预后指标
嵌合抗原受体T(CAR-T)细胞疗法大大改善了大B细胞淋巴瘤(LBCL)复发和难治患者的预后。早期识别和干预可能对CAR-T细胞疗法反应不佳的患者将有助于提高疗效。研究人员分析了中国队列中接受CAR-T细胞治疗的90例患者,这些患者在筛查阶段(输注CAR-T细胞的中位时间为53.5天,范围为27-176天)、输注CAR-T细胞后1个月和3个月接受了18F-氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描(18F-FDG PET/CT),47例患者在筛查阶段接受了RNA测序。在筛查阶段,最大病灶直径(Dmax)<6厘米的患者(N = 60)的3个月完全应答率(85.0% vs. 33.3%,P<0.001)、无进展生存期(HR 0.17;95% CI 0.08-0.35,P<0.001)和总生存期(HR 0.18;95% CI 0.08-0.40,P<0.001)均显著高于Dmax≥6厘米的患者(N = 30)。此外,在筛查阶段,Dmax结合结节外受累在区分患者预后方面更有效。在筛查阶段,肿瘤总代谢体积(tMTV)和病变总糖酵解量(tTLG)的最佳临界值分别为 50 立方厘米和 500 克。结合CAR-T细胞治疗后1个月(M1)的最大标准化摄取值(SUVmax)和tTLG清除率,建立了一个预测模型,用于预测CAR-T细胞治疗后M1时评估的部分反应/疾病稳定患者的早期进展,并在里昂队列中进行了验证。在接受 axicabtagene ciloleucel 治疗的患者中,发现 CAR-T 细胞治疗后两个最远病灶之间的距离(按体表面积标准化)与神经毒性的严重程度有相关性(AUC = 0.74;P = 0.034;95% CI,0.578-0.899)。在Dmax≥6厘米的患者中,筛选阶段进行的RNA测序分析显示,免疫抑制相关的生物过程以及M2巨噬细胞、癌症相关成纤维细胞、髓源抑制细胞和中间衰竭T细胞增多。总而言之,免疫抑制性肿瘤微环境可作为对 CAR-T 细胞疗法反应不佳的高肿瘤负荷患者的一个负面预后指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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