MRD and Plasma Cell Dynamics after CAR T-cell Therapy in Myeloma.

IF 11.5 Q1 HEMATOLOGY Blood Cancer Discovery Pub Date : 2023-09-01 DOI:10.1158/2643-3230.BCD-23-0134

Ola Landgren, Dickran Kazandjian

引用次数: 0

Abstract

Summary: In this issue, Paiva and colleagues characterize the dynamics of minimal residual disease (MRD) and clinical responses during chimeric antigen receptor (CAR) T-cell therapy of relapsed/refractory multiple myeloma. Although both correlate with prolonged progression-free survival, MRD is reached faster in the bone marrow than complete response in peripheral blood; consequently, the study addresses the need for future guidelines to explore new MRD-negative definitions that are independent of the monoclonal (M) protein to overcome this limitation, particularly in clinical trials using early depth of response as an endpoint. See related article by Paiva et al., p. 365 (1).

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骨髓瘤CAR T细胞治疗后的MRD和浆细胞动力学。

摘要：在本期中，Paiva及其同事描述了嵌合抗原受体（CAR）T细胞治疗复发/难治性多发性骨髓瘤期间最小残留疾病（MRD）的动力学和临床反应。尽管两者都与无进展生存期延长有关，但骨髓中MRD的达到速度比外周血中的完全反应更快；因此，该研究解决了未来指南的需求，即探索独立于单克隆（M）蛋白的新MRD阴性定义，以克服这一限制，特别是在使用早期反应深度作为终点的临床试验中。见Paiva等人的相关文章，第365（1）页。

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

Blood Cancer Discovery Multiple-

CiteScore

12.70

自引率

1.80%

发文量

139

期刊介绍： The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes. The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence. Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.