Abstract

[...]Model 2 [Figure 1C–D] and Model 3 [Figure 1E–F] achieved 100% specificity in predicting efficacy and were able to independently predict CAR-T-cell therapy efficacy, with a P-value of 0.001 [Supplementary Table 5, http://links.lww.com/CM9/C191]. [...]while the choice of costimulatory domain might affect CAR-T-cell therapy efficacy, our study did not address this potential influence. [...]our research successfully developed and validated an index system for assessing the efficacy of CD19 CAR-T-cell therapy in patients with r/r DLBCL. Funding This work was supported by grants from the National Key R&D Program of China (No. 2021YFA1100800), National Natural Science Foundation of China (Nos. 81830004 and 82070168), Translational Research Grant of NCRCH (No. 2020ZKZC04), Shanghai Municipal Health Commission (No. 2020CXJQ02), and Cultivation project of National Natural Science Foundation of Shanghai Tongji Hospital (No.

Details

Title
An assessment model for efficacy of autologous CD19 chimeric antigen receptor T-cell therapy and relapse or refractory diffuse large B-cell lymphoma risk
Author
Xue Bin 1 ; Liu, Yifan 1 ; Zhang, Min 1 ; Xiao Gangfeng 2 ; Luo Xiu 1 ; Zhou, Lili 1 ; Ye Shiguang 1 ; Lu, Yan 1 ; Qian Wenbin 3 ; Wang, Li 4 ; Li, Ping 1 ; Liang Aibin 1 

 Department of Hematology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China 
 Department of Hematology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China; Department of Hematology, Ningbo No.2 Hospital, Ningbo, Zhejiang 315010, China 
 Department of Hematology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310009, China 
 Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China 
Pages
108-110
Section
Correspondence
Publication year
2025
Publication date
Jan 2025
Publisher
Lippincott Williams & Wilkins Ovid Technologies
ISSN
03666999
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3152787706
Copyright
Copyright © 2024 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.