Cargando…

The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients

The tumor burden (TB) is significantly related to the severity of cytokine release syndrome (CRS) caused by CAR-T cells, but its correlation with therapeutic efficacy has not been systematically studied. This study focused on the effects of the TB level on both the safety and efficacy of ssCART-19 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Minghao, Xue, Sheng-Li, Tang, Xiaowen, Xu, Jiayu, Chen, Suning, Han, Yue, Qiu, Huiying, Miao, Miao, Xu, Nan, Tan, Jingwen, Kang, Liqing, Yu, Zhou, Lou, Xiaoyan, Xu, Yang, Chen, Jia, Yan, Zhiqiang, Feng, Weixing, Wu, Depei, Yu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748521/
https://www.ncbi.nlm.nih.gov/pubmed/35013456
http://dx.doi.org/10.1038/s41598-021-04296-3
_version_ 1784631026760286208
author Li, Minghao
Xue, Sheng-Li
Tang, Xiaowen
Xu, Jiayu
Chen, Suning
Han, Yue
Qiu, Huiying
Miao, Miao
Xu, Nan
Tan, Jingwen
Kang, Liqing
Yu, Zhou
Lou, Xiaoyan
Xu, Yang
Chen, Jia
Yan, Zhiqiang
Feng, Weixing
Wu, Depei
Yu, Lei
author_facet Li, Minghao
Xue, Sheng-Li
Tang, Xiaowen
Xu, Jiayu
Chen, Suning
Han, Yue
Qiu, Huiying
Miao, Miao
Xu, Nan
Tan, Jingwen
Kang, Liqing
Yu, Zhou
Lou, Xiaoyan
Xu, Yang
Chen, Jia
Yan, Zhiqiang
Feng, Weixing
Wu, Depei
Yu, Lei
author_sort Li, Minghao
collection PubMed
description The tumor burden (TB) is significantly related to the severity of cytokine release syndrome (CRS) caused by CAR-T cells, but its correlation with therapeutic efficacy has not been systematically studied. This study focused on the effects of the TB level on both the safety and efficacy of ssCART-19 as a treatment for r/r B-ALL. Taking the 5% tumor burden as the boundary, the study participants were divided into 2 groups, high and low tumor burden groups. Under this grouping strategy, the impacts of differential r/r B-ALL TBs on the clinical therapeutic efficacy (CR rate and long-term survival) and safety profiles after ssCART-19 cell treatment were analysed. 78 patients were reported in this study. The differential B-ALL TBs significantly affected the complete remission (CR) rates of patients treated with ssCART-19, with rates of 93.94% and 75.56% in the low and high TB groups, respectively (P = 0.0358). The effects of TBs on long-term therapeutic efficacy were further studied based on event-free survival (EFS) and overall survival (OS) profiles; both the OS and EFS of the low TB group were better than those of the high TB group, but the differences were not statistically significant. Importantly, the time points of TB measurement did not significantly affect the OS and EFS profiles regardless of whether the TBs were measured before or after fludarabine-cyclophosphamide (FC) preconditional chemotherapy. On the other hand, the severity of CRS was significantly correlated with the TB level (P = 0.0080), and the incidence of sCRS was significantly related to the TB level (the sCRS incidence increased as the TB level increased, P = 0.0224). Unexpectedly, the ssCART-19 cell expansion peaks were not significantly different (P = 0.2951) between the study groups. Patients with a low r/r B-ALL TB yield more net benefits from CAR-T treatment than those with a high TB in terms of safety and CR rate. These findings are critical and valuable for determining the optimal CAR-T cell treatment window for r/r B-ALL patients and will further the development of comprehensive and reasonable CAR-T cell treatment plans for r/r B-ALL patients with differential TBs. Trial registration: ClinicalTrials.gov identifier, NCT03919240.
format Online
Article
Text
id pubmed-8748521
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-87485212022-01-11 The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients Li, Minghao Xue, Sheng-Li Tang, Xiaowen Xu, Jiayu Chen, Suning Han, Yue Qiu, Huiying Miao, Miao Xu, Nan Tan, Jingwen Kang, Liqing Yu, Zhou Lou, Xiaoyan Xu, Yang Chen, Jia Yan, Zhiqiang Feng, Weixing Wu, Depei Yu, Lei Sci Rep Article The tumor burden (TB) is significantly related to the severity of cytokine release syndrome (CRS) caused by CAR-T cells, but its correlation with therapeutic efficacy has not been systematically studied. This study focused on the effects of the TB level on both the safety and efficacy of ssCART-19 as a treatment for r/r B-ALL. Taking the 5% tumor burden as the boundary, the study participants were divided into 2 groups, high and low tumor burden groups. Under this grouping strategy, the impacts of differential r/r B-ALL TBs on the clinical therapeutic efficacy (CR rate and long-term survival) and safety profiles after ssCART-19 cell treatment were analysed. 78 patients were reported in this study. The differential B-ALL TBs significantly affected the complete remission (CR) rates of patients treated with ssCART-19, with rates of 93.94% and 75.56% in the low and high TB groups, respectively (P = 0.0358). The effects of TBs on long-term therapeutic efficacy were further studied based on event-free survival (EFS) and overall survival (OS) profiles; both the OS and EFS of the low TB group were better than those of the high TB group, but the differences were not statistically significant. Importantly, the time points of TB measurement did not significantly affect the OS and EFS profiles regardless of whether the TBs were measured before or after fludarabine-cyclophosphamide (FC) preconditional chemotherapy. On the other hand, the severity of CRS was significantly correlated with the TB level (P = 0.0080), and the incidence of sCRS was significantly related to the TB level (the sCRS incidence increased as the TB level increased, P = 0.0224). Unexpectedly, the ssCART-19 cell expansion peaks were not significantly different (P = 0.2951) between the study groups. Patients with a low r/r B-ALL TB yield more net benefits from CAR-T treatment than those with a high TB in terms of safety and CR rate. These findings are critical and valuable for determining the optimal CAR-T cell treatment window for r/r B-ALL patients and will further the development of comprehensive and reasonable CAR-T cell treatment plans for r/r B-ALL patients with differential TBs. Trial registration: ClinicalTrials.gov identifier, NCT03919240. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748521/ /pubmed/35013456 http://dx.doi.org/10.1038/s41598-021-04296-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Minghao
Xue, Sheng-Li
Tang, Xiaowen
Xu, Jiayu
Chen, Suning
Han, Yue
Qiu, Huiying
Miao, Miao
Xu, Nan
Tan, Jingwen
Kang, Liqing
Yu, Zhou
Lou, Xiaoyan
Xu, Yang
Chen, Jia
Yan, Zhiqiang
Feng, Weixing
Wu, Depei
Yu, Lei
The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title_full The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title_fullStr The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title_full_unstemmed The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title_short The differential effects of tumor burdens on predicting the net benefits of ssCART-19 cell treatment on r/r B-ALL patients
title_sort differential effects of tumor burdens on predicting the net benefits of sscart-19 cell treatment on r/r b-all patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748521/
https://www.ncbi.nlm.nih.gov/pubmed/35013456
http://dx.doi.org/10.1038/s41598-021-04296-3
work_keys_str_mv AT liminghao thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xueshengli thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT tangxiaowen thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xujiayu thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT chensuning thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT hanyue thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT qiuhuiying thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT miaomiao thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xunan thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT tanjingwen thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT kangliqing thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yuzhou thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT louxiaoyan thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xuyang thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT chenjia thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yanzhiqiang thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT fengweixing thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT wudepei thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yulei thedifferentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT liminghao differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xueshengli differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT tangxiaowen differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xujiayu differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT chensuning differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT hanyue differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT qiuhuiying differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT miaomiao differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xunan differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT tanjingwen differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT kangliqing differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yuzhou differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT louxiaoyan differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT xuyang differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT chenjia differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yanzhiqiang differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT fengweixing differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT wudepei differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients
AT yulei differentialeffectsoftumorburdensonpredictingthenetbenefitsofsscart19celltreatmentonrrballpatients