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.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Emerging Biomarkers for Monitoring Chimeric Antigen Receptor T-Cell Therapy.
Emerging Biomarkers for Monitoring Chimeric Antigen Receptor T-Cell Therapy.
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嵌合抗原受体(CAR)T细胞疗法已经彻底改变了血液系统恶性肿瘤的治疗,并在实体瘤中展现出前景。尽管对于难治性恶性肿瘤患者,CAR-T 细胞疗法的缓解率已超越其他可用选择,但并非所有患者都以相同方式产生应答。这种变异性的原因目前尚不清楚。因此,迫切需要识别能够导致CAR-T 细胞疗法有效应答的患者特征以及细胞产品特征。内容:在这篇综述中,我们讨论了可能预测CAR-T 细胞疗法临床结局的潜在生物标志物。基于已上市产品和早期阶段产品临床试验中的相关性发现,我们将生物标志物分为输注前和输注后,以及患者相关和产品相关标志物等类别。在已探索的生物标志物中,输注前和输注后的疾病负荷指标,以及输注后CAR-T 细胞持久性,被反复确定为疾病应答的预测因素。输注时早期记忆T细胞比例较高似乎是有利的,并且在整个治疗过程中追踪T细胞亚群可能至关重要。总结:在研究环境中,已有越来越多有前景的CAR-T 细胞疗效生物标志物被描述,然而,这些生物标志物均尚未被验证用于临床。一些潜在重要的应答预测因素在当前CAR-T 细胞治疗流程下可能难以常规获得。需要采用协作方法来选择能够在大型队列中验证并纳入临床实践的生物标志物。
BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy has revolutionized treatment of hematologic malignancies and holds promise for solid tumors. While responses to CAR T-cell therapy have surpassed other available options for patients with refractory malignancies, not all patients respond the same way. The reason for this variability is not currently understood. Therefore, there is a strong need to identify characteristics of patients as well as cellular products that lead to an effective response to CAR T-cell therapy. CONTENT: In this review, we discuss potential biomarkers that may predict clinical outcomes of CAR T-cell therapy. Based on correlative findings from clinical trials of both commercially available and early-phase products, we classify biomarkers into categories of pre- and post-infusion as well as patient and product-related markers. Among the biomarkers that have been explored, measures of disease burden both pre- and post-infusion, as well as CAR T-cell persistence post-infusion, are repeatedly identified as predictors of disease response. Higher proportions of early memory T cells at infusion appear to be favorable, and tracking T-cell subsets throughout treatment will likely be critical. SUMMARY: There are a growing number of promising biomarkers of CAR T-cell efficacy described in the research setting, however, none of these have been validated for clinical use. Some potentially important predictors of response may be difficult to obtain routinely under the current CAR T-cell therapy workflow. A collaborative approach is needed to select biomarkers that can be validated in large cohorts and incorporated into clinical practice.
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