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 role of stem cell transplantation in the modern management of multiple myeloma.
The role of stem cell transplantation in the modern management of multiple myeloma.
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综述目的:自体造血干细胞移植(ASCT)长期以来一直是适合移植的新诊断多发性骨髓瘤(NDMM)患者治疗的基石。本综述分析ASCT在当代治疗中的不断演变的作用。 近期发现:随着现代诱导方案和CAR-T 细胞疗法、双特异性抗体(BsAb)等先进免疫疗法日益融入治疗,传统多发性骨髓瘤治疗模式正受到挑战。这些新型疗法取得独特的缓解率和前所未有的微小残留病(MRD)阴性率,因此引发关于ASCT作用、时机及必要性的讨论。 总结:三十多年来,ASCT一直是适合移植的NDMM患者的标准治疗。随着现代诱导方案和免疫疗法出现,治疗模式快速演变,当前ASCT的作用、时机及必要性受到质疑。本综述探讨ASCT在NDMM中的当代作用。尽管免疫疗法前景广阔,当前证据仍支持ASCT作为巩固治疗;尤其与现代疗法及MRD指导的治疗流程整合时,ASCT仍然高效、可及且具有成本效益。
PURPOSE OF REVIEW: Autologous stem cell transplantation (ASCT) has long been a cornerstone in the treatment of eligible patients with newly diagnosed multiple myeloma (NDMM). In this review, we analyze the evolving role of ASCT in the contemporary period. RECENT FINDINGS: With the growing integration of modern induction regimens and advanced immunotherapies such as chimeric antigen receptor T-cell (CAR-T) therapies and bispecific antibodies (BsAbs), the traditional paradigm of multiple myeloma treatment is being increasingly challenged. These novel treatments, which have demonstrated unique response rates and unprecedented minimal residual disease (MRD) rates, have raised the question about the role, timing, and necessity of ASCT.
SUMMARY: ASCT has been standard of care in the treatment of NDMM for transplant-eligible patients for over three decades. With the advent of modern induction regimens and immunotherapies, treatment paradigms are evolving rapidly, challenging the current role, timing, and necessity of ASCT.
This review explores the contemporary role of ASCT in NDMM. Despite the promise of immunotherapy, the current evidence continues to support ASCT as a consolidative therapy that remains highly effective, accessible, and cost-efficient, particularly when integrated with modern therapeutics and MRD-driven algorithms.
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