医学
内科学
肿瘤科
疾病
CD19
T细胞
耐火材料(行星科学)
免疫学
免疫系统
外周血
物理
天体生物学
作者
Alberto Mussetti,Nicole Fabbri,Anna Sureda
出处
期刊:Hematology
[American Society of Hematology]
日期:2023-12-08
卷期号:2023 (1): 357-363
被引量:2
标识
DOI:10.1182/hematology.2023000436
摘要
Abstract We discuss different pre-infusion, post-infusion and post-CAR T-cell relapse prognostic factors influencing the outcomes of anti-CD19 CAR T-cell therapy in patients with relapsed or refractory large B-cell lymphomas. Despite the overall positive results of anti-CD19 CAR T-cell therapy, a significant percentage of patients relapse. We summarize the efforts made to identify predictive factors for response and durable remissions and survival. In the pre-infusion setting, the patient-related factors discussed include Eastern Cooperative Oncology Group performance status, age, and comorbidities. Disease-related factors like tumor burden, histology, and biological features are also considered. In addition, inflammation-related factors and CAR T-cell product-related factors are considered. After CAR T-cell infusion, factors such as disease response assessed by 18FDG-PET/CT scan, liquid biopsy monitoring, and CAR T-cell expansion become crucial in predicting survival outcomes. Response to 18FDG-PET/CT scan is a widely used test for confirming response and predicting survival. Liquid biopsy, in combination with 18FDG-PET/CT scan, has shown potential in predicting outcomes. CAR T-cell expansion and persistence have shown mixed effects on survival, with some studies indicating their association with response. In the setting of post-CAR T-cell relapse, prognostic factors include refractory disease, time of relapse, and elevated lactate dehydrogenase levels at CAR T-cell infusion. Enrollment in clinical trials is crucial for improving outcomes in these patients. Overall, we discuss a comprehensive overview of prognostic factors that can influence the outcomes of anti-CD19 CAR T-cell therapy in patients with relapsed or refractory large B-cell lymphomas, highlighting the need for personalized approaches in treatment decision-making.
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