← 返回

弥漫大 B 细胞淋巴瘤中抗 CD19 治疗的序贯:从机制洞察到临床策略

英文原题:Sequencing Anti-CD19 Therapies in Diffuse Large B-Cell Lymphoma: From Mechanistic Insights to Clinical Strategies.

查看英文原题

Sequencing Anti-CD19 Therapies in Diffuse Large B-Cell Lymphoma: From Mechanistic Insights to Clinical Strategies.

PubMed 2025/09/05(内容时间) Int J Mol Sci Q1 · IF 5.6(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

中文摘要

包括单克隆抗体、抗体药物偶联物和嵌合抗原受体(CAR)T细胞产品在内的CD19靶向疗法,显著改善了复发/难治性弥漫大B细胞淋巴瘤(R/R DLBCL)的治疗结局。尽管临床疗效确切,耐药和抗原调节仍构成重大挑战,尤其是需要序贯治疗的患者。本综述全面介绍CD19生物学及其作为治疗靶点的意义。我们考察抗原丢失、表位遮蔽和T细胞耗竭等耐药机制,以及肿瘤微环境免疫抑制的影响。未来工作应优先整合流式细胞术、免疫组织化学和转录组分析等实时诊断,以及AI辅助预测模型,以优化治疗序贯方案并扩大个体化免疫治疗的可及性。

展开英文摘要原文

CD19-targeted therapies, including monoclonal antibodies, antibody-drug conjugates, and chimeric antigen receptor (CAR) T-cell products, have significantly improved outcomes in relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL). Despite their clinical efficacy, resistance and antigen modulation pose substantial challenges, especially in patients requiring sequential therapy. This review provides a comprehensive overview of CD19 biology and its relevance as a therapeutic target.

We examine mechanisms of resistance such as antigen loss, epitope masking, and T-cell exhaustion, as well as the implications of tumor microenvironmental immunosuppression. Future efforts should prioritize the integration of real-time diagnostics, such as flow cytometry, immunohistochemistry, and transcriptomic profiling, and AI-assisted predictive models to optimize therapeutic sequencing and expand access to personalized immunotherapy.

论文信息

作者
Laddaga FE、Della Mura M、Sorino J、Caruso A、Martinotti S、Ingravallo G、Gaudio F
第一作者单位
Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", 70124 Bari, Italy.Italy
通讯作者单位
Department of Medicine and Surgery, LUM University "Giuseppe Degennaro", Casamassima, 70010 Bari, Italy.Italy
文献类型
综述
期刊
International journal of molecular sciences2025 Sep 5
原文标识
PubMed 40943582 · DOI 10.3390/ijms26178662