CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The risk factors and early predictive model of hematotoxicity after CD19 chimeric antigen receptor T cell therapy.
The risk factors and early predictive model of hematotoxicity after CD19 chimeric antigen receptor T cell therapy.
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血液毒性是CAR-T 细胞治疗后最常见的长期不良事件。本研究使用71例复发/难治性(R/R)B细胞急性淋巴细胞白血病(B-ALL)或大B细胞淋巴瘤(LBCL)患者,建立早期血液毒性预测模型并验证其准确性。CAR-T 输注后3个月,B-ALL和LBCL早期血液毒性发生率分别为45.5%和38.5%。多变量分析显示,细胞因子释放综合征(CRS)严重程度是影响早期血液毒性的独立危险因素。峰值细胞因子水平与早期血液毒性的分析提示,肿瘤坏死因子α(TNF-α)和C反应蛋白(CRP)与早期血液毒性密切相关。随后基于TNF-α和CRP峰值建立早期血液毒性预测模型;该模型在训练队列和验证队列诊断早期血液毒性的阳性预测值分别为87.7%和85.0%。最后建立临床列线图预测早期血液毒性风险,其表现与观察到的概率相符。该早期预测模型有助于CAR-T 受者血液毒性风险分层,并对高危患者进行早期干预。
Hematotoxicity is the most common long-term adverse event after chimeric antigen receptor T cell (CAR-T) therapy.
Here, a total of 71 patients with relapsed or refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL) or large B-cell lymphoma (LBCL) were used to develop an early hematotoxicity predictive model and verify the accuracy of this model. The incidences of early hematotoxicity at 3 month following CAR-T infusion in B-ALL and LBCL were 45. 5% and 38. 5%, respectively. Multivariate analyses revealed that the severity of cytokine release syndrome (CRS) was an independent risk factor affecting early hematotoxicity. The analysis between the peak cytokine levels and early hematotoxicity suggested that tumor necrosis factor- (TNF- ) and C-reactive protein (CRP) were closely associated with early hematotoxicity.
Then, an early predictive model of hematotoxicity was constructed based on the peak contents of TNF- and CRP. This model could diagnose early hematotoxicity with positive predictive values of 87. 7% and 85. 0% in training and validation cohorts, respectively.
Lastly, we constructed the nomogram for clinical practice to predict the risk of early hematotoxicity, which performed well compared with the observed probability. This early predictive model is instrumental in the risk stratification of CAR-T recipients with hematotoxicity and early intervention for high-risk patients.
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