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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
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 |