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Targeting B-cell maturation antigen in relapsed or refractory multiple myeloma: On the verge of its prime time. 靶向b细胞成熟抗原在复发或难治性多发性骨髓瘤:在其黄金时间的边缘。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-11-20 DOI: 10.1053/j.seminhematol.2025.11.003
Jun Ho Yi, Dok Hyun Yoon, Kihyun Kim

Significant advances have been made in the treatment of multiple myeloma, with B-cell maturation antigen (BCMA)-targeting immunotherapies at the forefront of these developments. Three treatment modalities-including antibody-drug conjugates, bispecific antibodies, and chimeric antigen receptor-T cell therapies-have demonstrated durable responses, each associated with class-specific unique adverse events. Moreover, their efficacy and safety in later stages of multiple myeloma also provide the rationale for their use in earlier lines of therapy. In this review, we briefly outline the background biology of BCMA and discuss the mechanisms of action and structural features of these 3 agents, together with the most recent clinical data from early-phase trials. We also describe class-specific adverse events and mechanisms of resistance, as well as strategies to overcome them, thereby offering a framework to catch up with future developments in BCMA-targeted immunotherapy for multiple myeloma.

多发性骨髓瘤的治疗已经取得了重大进展,以b细胞成熟抗原(BCMA)为靶向的免疫疗法处于这些发展的前沿。三种治疗方式——包括抗体-药物偶联物、双特异性抗体和嵌合抗原受体- t细胞疗法——已经证明了持久的反应,每种治疗方式都与类别特异性独特的不良事件相关。此外,它们在多发性骨髓瘤晚期的有效性和安全性也为它们在早期治疗中使用提供了依据。在这篇综述中,我们简要概述了BCMA的背景生物学,并讨论了这3种药物的作用机制和结构特征,以及最新的早期临床试验数据。我们还描述了特定类别的不良事件和耐药机制,以及克服它们的策略,从而提供了一个框架,以赶上bcma靶向多发性骨髓瘤免疫治疗的未来发展。
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引用次数: 0
Trispecific T cell engagers in hematological malignancies: Advancing beyond bispecific antibodies. 血液恶性肿瘤中的三特异性T细胞接合体:超越双特异性抗体的进展。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-11-20 DOI: 10.1053/j.seminhematol.2025.11.002
Kyung-Nam Koh, Dae Hee Kim, Hyori Kim

The success of bispecific T cell engagers (BiTEs) in hematological malignancies has catalyzed the development of trispecific antibodies that simultaneously target 3 molecular entities. These next-generation immunotherapeutics address the key limitations of bispecific constructs including antigen escape, limited T cell activation, and on-target off-tumor toxicity. Trispecific constructs employ 2 primary strategies: dual tumor antigen targeting combined with CD3 engagement to prevent antigen escape, and integration of co-stimulatory signals (CD28, 4-1BB) to enhance T cell function. Early clinical data demonstrated promising efficacy signals, particularly in multiple myeloma where BCMA×CD38×CD3 constructs achieved 90% overall response rates in early-phase trials. Safety profiles mirror bispecific antibodies with cytokine release syndrome and neurotoxicity as primary concerns. Trispecific T cell engagers represent a significant advancement in precision immunotherapy for hematological malignancies. Although early clinical results are encouraging, challenges remain in optimal target selection, manufacturing complexity, and resistance mechanisms. Ongoing clinical trials will define their role in the evolving treatment landscape.

双特异性T细胞接合体(BiTEs)在血液恶性肿瘤中的成功,催化了同时靶向3个分子实体的三特异性抗体的发展。这些新一代免疫疗法解决了双特异性结构的关键局限性,包括抗原逃逸、有限的T细胞活化和靶向非肿瘤毒性。三特异性构建采用两种主要策略:双肿瘤抗原靶向结合CD3结合以防止抗原逃逸;整合共刺激信号(cd28,4 - 1bb)以增强T细胞功能。早期临床数据显示出有希望的疗效信号,特别是在多发性骨髓瘤中,BCMA×CD38×CD3结构在早期试验中达到90%的总缓解率。安全性概况反映了双特异性抗体,细胞因子释放综合征和神经毒性是主要问题。三特异性T细胞接合体代表了血液系统恶性肿瘤精确免疫治疗的重大进展。尽管早期临床结果令人鼓舞,但在最佳靶点选择、制造复杂性和耐药机制方面仍存在挑战。正在进行的临床试验将确定它们在不断发展的治疗领域中的作用。
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引用次数: 0
Harnessing single-domain antibodies for CAR-T and bispecific antibody development. 利用单域抗体开发CAR-T和双特异性抗体。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-11-10 DOI: 10.1053/j.seminhematol.2025.11.001
Mooyoung Jung, Jeong Yeon Hwang, Hyunbo Shim

Emerging antibody-based therapeutic modalities such as CAR-Ts and bispecific antibodies have proven highly efficacious in treating diseases, including hematological malignancies. However, the complex molecular architectures of these novel agents present significant challenges in their design and production, for which binding moieties with small size and favorable physicochemical properties may offer a promising solution. Single domain antibodies (sdAbs), typically derived from the heavy chain antibodies of camelids and cartilaginous fishes but increasingly from synthetic and other sources as well, are small (12-15 kDa), well expressed, and exhibit favorable physicochemical properties, making them ideal targeting domains for these new modalities. In this article, we review the origins and characteristics of sdAbs, along with recent studies on CAR-T cell therapies and bispecific antibodies for hematological malignancies that incorporate sdAbs into their constructs, with emphasis on their structures, binding properties, and therapeutic efficacies. Together, these developments underscore the promise of sdAb-based CAR-Ts and bispecific antibodies as next-generation therapeutics, with the potential to expand treatment options and improve outcomes in hematological malignancies and beyond.

新兴的基于抗体的治疗方式,如car - t和双特异性抗体,已被证明在治疗疾病,包括血液系统恶性肿瘤方面非常有效。然而,这些新型药物复杂的分子结构在其设计和生产中提出了重大挑战,具有小尺寸和良好的物理化学性质的结合部分可能提供了一个有希望的解决方案。单域抗体(sabs)通常来源于骆驼类和软骨鱼的重链抗体,但也越来越多地来自合成和其他来源,它们体积小(12-15 kDa),表达良好,具有良好的物理化学性质,使其成为这些新模式的理想靶向结构域。在这篇文章中,我们回顾了单克隆抗体的起源和特征,以及最近在CAR-T细胞疗法和血液恶性肿瘤双特异性抗体方面的研究,这些研究将单克隆抗体纳入其结构中,重点介绍了它们的结构、结合特性和治疗效果。总之,这些进展强调了基于sdab的car - t和双特异性抗体作为下一代治疗方法的前景,具有扩大治疗选择和改善血液系统恶性肿瘤及其他疾病预后的潜力。
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引用次数: 0
Characterization of anti-CD3 antibodies in clinically available bispecific T cell engagers. 临床可用的双特异性T细胞接合体中抗cd3抗体的表征。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-08-29 DOI: 10.1053/j.seminhematol.2025.08.004
Hyeonmin Lee, Yonghee Lee, Junho Chung

Bispecific T cell engagers (bispecific TCEs) are engineered antibodies that redirect T cells to mediate tumor cell killing by simultaneously binding to CD3 on T cells and tumor-associated antigens. As of July 2025, ten bispecific TCEs are clinically available. The CD3-binding antibodies in these bispecific TCEs can be classified into 6 groups based on the amino acid sequence similarity across their 6 complementarity-determining regions (CDRs). Specifically, antibodies were assigned to the same family if their six CDRs-HCDR1-3 and LCDR1-3-exhibited ≥80% pairwise sequence identity upon multiple sequence alignment. Family 1, derived from OKT3-a mouse hybridoma generated by immunizing BALB/c mice with human T cells-includes only blinatumomab; Family 2, derived from SP34-a rhesus monkey (Macaca mulatta) derived hybridoma specific for human T cells-comprises 5 antibodies; and Family 6, derived from UCHT1-a mouse hybridoma generated by immunizing mice with human T cells-contains only tebentafusp. The origin of the remaining 3 antibodies has not been disclosed and they possess unique CD3-binding sequences. We classified them into their own distinct families (Families 3, 4, and 5). Interestingly, mosunetuzumab (Family 4) showed remarkably lower incidence of adverse events such as cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), and infection compared to other bispecific TCEs even though its affinity for CD3ε was not significantly different. The epitopes of 4 antibodies in Family 2, teclistamab, talquetamab, glofitamab, and tarlatamab were previously defined to be located at the N-terminal region of CD3ε via hydrogen-deuterium exchange mass spectrometry (HDX-MS) analysis. In our in silico epitope prediction analysis, the N-terminal region was included in the epitope region of all bispecific TCEs regardless of their family. Blinatumomab (Family 1) and tebentafusp (Family 6) did not bind to the CD3ε homolog of the cynomolgus monkey, whereas the other 8 bispecific TCEs did. This lack of cross-reactivity poses clear disadvantages in their preclinical development, particularly for toxicity and safety evaluation in nonhuman primate models.

双特异性T细胞接合物(双特异性tce)是一种工程化抗体,它通过同时结合T细胞和肿瘤相关抗原上的CD3来引导T细胞介导肿瘤细胞杀伤。截至2025年7月,临床可获得10种双特异性tce。根据6个互补决定区(cdr)氨基酸序列的相似性,这些双特异性TCEs中的cd3结合抗体可分为6组。具体来说,如果它们的6个cdr - hcdr1 -3和lcdr1 -3在多重序列比对中表现出≥80%的成对序列一致性,则抗体被分配到同一家族。家族1,来源于okt3 -一种用人T细胞免疫BALB/c小鼠产生的小鼠杂交瘤-仅包括blinatumomab;家族2,来自sp34 -恒河猴(Macaca mulatta)衍生的人类T细胞特异性杂交瘤-包含5个抗体;而家族6来源于ucht1——一种用人类T细胞免疫小鼠产生的小鼠杂交瘤——只含有tebentafusp。其余3种抗体的来源尚未披露,它们具有独特的cd3结合序列。我们把它们分成不同的家族(家族3、4和5)。有趣的是,与其他双特异性TCEs相比,mosunetuzumab (Family 4)显示出明显较低的不良事件发生率,如细胞因子释放综合征(CRS)、免疫效应细胞相关神经毒性综合征(ICANS)和感染,尽管其对CD3ε的亲和力没有显著差异。先前通过氢-氘交换质谱(HDX-MS)分析发现,家族2中的4种抗体teclistamab、talquetamab、glofitamab和tarlatamab的表位位于CD3ε的n端。在我们的计算机表位预测分析中,无论其家族如何,所有双特异性tce的表位区域都包含n端区域。Blinatumomab (Family 1)和tebentafusp (Family 6)不与食蟹猴的CD3ε同源物结合,而其他8个双特异性TCEs则与之结合。这种交叉反应性的缺乏给它们的临床前开发带来了明显的劣势,特别是在非人灵长类动物模型中的毒性和安全性评估。
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引用次数: 0
Measurable residual disease monitoring in acute myeloid leukaemia: Techniques, timing and therapeutic implications 急性髓性白血病可测量的残留疾病监测:技术、时间和治疗意义。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/j.seminhematol.2025.06.004
Kasper J. Croese , Jacqueline Cloos , Jesse M. Tettero
The detection of measurable residual disease (MRD) in acute myeloid leukaemia (AML) has emerged as one of the strongest prognostic indications of adverse outcomes across different treatment settings and disease stages, independent of baseline genetic risk classification. Multiple techniques for MRD-assessment have been developed and clinically validated, including multiparameter flow cytometry (MFC) and molecular assays such as quantitative PCR (qPCR) and next-generation sequencing (NGS). These approaches have been incorporated into routine clinical practice to evaluate treatment efficacy and refine disease risk stratification. Beyond the prognostic significance, MRD monitoring offers a powerful tool for monitoring subclinical disease, enabling early relapse detection and influencing therapeutic decisions, including consolidation strategies, transplant conditioning, and pre-emptive interventions. In non-intensive treatment settings, MRD may help tailor treatment duration and identify patients eligible for therapy cessation. As the therapeutic landscape of AML continues to evolve with novel agents and strategies, the role and clinical applications of MRD are becoming increasingly relevant. This review summarizes current MRD assessment techniques, optimal measurement timepoints, and clinical applications across different therapeutic settings. We also highlight ongoing innovations and future directions that aim to fully integrate MRD into precision management of patients with AML.
在急性髓性白血病(AML)中检测可测量的残留疾病(MRD)已成为不同治疗环境和疾病阶段不良结果的最强预后指标之一,独立于基线遗传风险分类。多种mrd评估技术已经开发出来并得到了临床验证,包括多参数流式细胞术(MFC)和分子分析,如定量PCR (qPCR)和下一代测序(NGS)。这些方法已纳入常规临床实践,以评估治疗效果和完善疾病风险分层。除了预后意义之外,MRD监测还为监测亚临床疾病提供了强大的工具,能够早期发现复发并影响治疗决策,包括巩固策略、移植条件和先发制人的干预措施。在非强化治疗环境中,MRD可以帮助调整治疗时间并确定有资格停止治疗的患者。随着AML治疗领域不断发展新的药物和策略,MRD的作用和临床应用变得越来越重要。本文综述了当前MRD评估技术、最佳测量时间点以及不同治疗环境下的临床应用。我们还强调了正在进行的创新和未来的方向,旨在将MRD完全整合到AML患者的精确管理中。
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引用次数: 0
outside front cover, PMS 8883 metallic AND 4/C 外部前盖,PMS 8883金属和4/C
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/S0037-1963(25)00039-3
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引用次数: 0
AML diagnostics in the 21st century: Use of AI 21世纪AML诊断:人工智能的应用
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/j.seminhematol.2025.06.002
Torsten Haferlach , Jan-Niklas Eckardt , Wencke Walter , Sven Maschek , Jakob Nikolas Kather , Christian Pohlkamp , Jan Moritz Middeke
The landscape of acute myeloid leukemia (AML) diagnostics is undergoing a pivotal shift towards a transformative era, driven by the integration of artificial intelligence (AI). This review delves into the pivotal role of AI in reshaping AML diagnostics in the 21st century, highlighting advancements, challenges, and future prospects. AML, marked by the immediate need for accurate diagnosis and treatment, requires precise analysis against the complexity of various diagnostic methods such as cytomorphology, immunophenotyping, cytogenetics, and molecular testing. The introduction of AI in this field promises to address the critical need for rapid and standardized diagnostics, thereby enhancing patient care. AI technologies, including deep learning (DL) and machine learning (ML), are revolutionizing the interpretation of complex diagnostic data. With the use of AI-based models such as deep learning (DL) classifiers or automated karyotyping, promising tools do already exist. When it comes to reporting and reasoning, large language models (LLM) show their potential in efficient data processing and better clinical decision-making. This includes the use of large language models (LLMs) for generating comprehensive diagnostic reports that integrate multi-layered diagnostic information. However, there is a critical need for transparency and interpretability in AI-driven diagnostics. Explainable AI (XAI) models address this need building trust among clinicians and patients. Moreover, this review addresses the growing field of synthetic data that are becoming increasingly accessible due to advances in AI and computational technology. While synthetic data present a promising avenue for augmenting clinical research and potentially optimizing clinical trials in fields such as AML, their application requires careful ethical, regulatory, and methodological considerations. There are several limitations and challenges to consider regarding not only synthetic data but also AI models in general. This includes regulatory hurdles due to the dynamic nature of AI, as well as data privacy concerns and interoperability between different systems. In conclusion, AI has the potential to completely change how we diagnose and treat AML by offering faster, more accurate, and more comprehensive diagnostic insights. This potential is especially crucial for preserving knowledge in times of shortages of human experts. However, realizing this potential will require overcoming significant challenges and fostering collaboration between technologists and clinicians. As we move forward, the synergy between AI and human expertise will undoubtedly redefine the landscape of AML diagnostics, leading in a new era of precision medicine in hematology.
在人工智能(AI)整合的推动下,急性髓性白血病(AML)诊断领域正经历着向变革时代的关键转变。本综述深入探讨了人工智能在21世纪重塑AML诊断中的关键作用,重点介绍了进展、挑战和未来前景。AML迫切需要准确的诊断和治疗,需要针对各种诊断方法的复杂性进行精确的分析,如细胞形态学、免疫表型、细胞遗传学和分子检测。在这一领域引入人工智能有望解决对快速和标准化诊断的迫切需求,从而加强患者护理。包括深度学习(DL)和机器学习(ML)在内的人工智能技术正在彻底改变对复杂诊断数据的解释。随着深度学习(DL)分类器或自动核型等基于人工智能的模型的使用,有前途的工具确实已经存在。在报告和推理方面,大型语言模型(LLM)在有效的数据处理和更好的临床决策方面显示出其潜力。这包括使用大型语言模型(llm)来生成集成多层诊断信息的综合诊断报告。然而,在人工智能驱动的诊断中,迫切需要透明度和可解释性。可解释的人工智能(XAI)模型解决了在临床医生和患者之间建立信任的需求。此外,本文还讨论了由于人工智能和计算技术的进步而越来越容易获得的合成数据领域。虽然合成数据为扩大临床研究和潜在地优化AML等领域的临床试验提供了一条有希望的途径,但它们的应用需要仔细考虑伦理、监管和方法。不仅对于合成数据,而且对于一般的人工智能模型,有一些限制和挑战需要考虑。这包括由于人工智能的动态特性造成的监管障碍,以及数据隐私问题和不同系统之间的互操作性。总之,人工智能有可能通过提供更快、更准确、更全面的诊断见解,彻底改变我们诊断和治疗AML的方式。这种潜力对于在缺乏人类专家的情况下保存知识尤其重要。然而,实现这一潜力需要克服重大挑战,并促进技术专家和临床医生之间的合作。随着我们的发展,人工智能和人类专业知识之间的协同作用无疑将重新定义AML诊断的格局,引领血液学精准医学的新时代。
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引用次数: 0
The potential promise of machine learning in myelodysplastic syndrome 机器学习在骨髓增生异常综合征中的潜在前景。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/j.seminhematol.2024.11.002
Valeria Visconte , Jaroslaw P. Maciejewski , Luca Guarnera
The introduction of artificial intelligence (AI), and in particular machine learning (ML), has revolutionized biomedical research at the clinical level, a trend that also includes hematologic malignancies and myeloid neoplasia (MN). ML encompasses a wide range of applications such as enhanced diagnostics, outcome predictions, decision trees and clustering. Despite several reports in recent years and the achievement of promising results, none of the ML-based pipelines have been directly translated into clinical practice. ML offers the potential to help refine risk stratification and increase accuracy to correctly predict clinical outcomes and disease classification. One of the complications in the clinical utilization of ML is that a large percentage of hematologists have limited familiarity with these tools which can cause skepticism. Concerns have also been raised by patients that are worried about privacy issues, reliability of the outcomes, and loss of human interaction. In this review, we aim to pinpoint the main mechanisms and applications of ML, as well as application in MN and Myelodysplastic Syndrome, highlighting strengths and limitations, and addressing the potential promise in clinical implementation of ML-pipelines.
人工智能(AI),特别是机器学习(ML)的引入,已经彻底改变了临床层面的生物医学研究,这一趋势也包括血液恶性肿瘤和髓系肿瘤(MN)。机器学习涵盖了广泛的应用,如增强诊断,结果预测,决策树和聚类。尽管近年来有几篇报道并取得了可喜的成果,但没有一种基于ml的管道直接转化为临床实践。ML提供了帮助完善风险分层和提高准确性的潜力,以正确预测临床结果和疾病分类。临床应用ML的并发症之一是大部分血液学家对这些工具的熟悉程度有限,这可能会引起怀疑。患者也提出了担忧,他们担心隐私问题、结果的可靠性以及人际交往的丧失。在这篇综述中,我们旨在明确ML的主要机制和应用,以及在MN和骨髓增生异常综合征中的应用,强调ML管道的优势和局限性,并解决ML管道在临床实施中的潜在前景。
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引用次数: 0
Secondary and therapy-related acute myeloid leukemias: Overlapping features, distinct trajectories 继发性和治疗相关急性髓性白血病:重叠的特征,不同的轨迹。
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/j.seminhematol.2025.06.005
Luca Guarnera MD , Emiliano Fabiani PhD , Giorgia Silvestrini PhD , Enrico Attardi PhD , Maria Teresa Voso MD
Therapy-related acute myeloid leukemia (tAML) and AML arising from previous hematologic disorders (secondary AML, sAML) share similar biological features, including karyotype abnormalities and gene specific mutations, patient-related risk factors. Older age and lower performance status also contribute to dimal prognosis, and dismal prognosis, both in terms of response rate and overall survival. However, these 2 entities significantly differ in leukemogenic trajectories. In this line, recent advances allowed for a better understanding of differential clonal progression processes in the broad landscape of sAMLs. Thus, in this manuscript, we reviewed clinical and biological characteristics of tAML and sAML, highlighting commonalities and divergent features and discussed classification aspects. We also gathered the newest evidence of leukemogenic trajectories leading from bone marrow failure syndromes, myelodysplastic syndromes (MDS), myeloproliferative neoplasms (MPN) and MDS/MPN overlap syndromes to sAML, as well as leukemias arising from donors’ cells in the setting of allogenic transplantation. Furthermore, we reviewed germline and acquired predisposition to leukemias and discussed the therapeutic landscape and future directions.
治疗相关性急性髓性白血病(tAML)和既往血液学疾病(继发性AML, sAML)引起的AML具有相似的生物学特征,包括核型异常和基因特异性突变、患者相关危险因素。无论是在有效率还是总生存率方面,年龄较大和表现状态较差也会导致预后差和预后差。然而,这两种实体在白血病发生轨迹上有显著差异。在这方面,最近的进展使我们能够更好地了解sAMLs的差异克隆进展过程。因此,在这篇文章中,我们回顾了tAML和sAML的临床和生物学特征,突出了它们的共性和不同的特征,并讨论了分类方面的问题。我们还收集了从骨髓衰竭综合征、骨髓增生异常综合征(MDS)、骨髓增生性肿瘤(MPN)和MDS/MPN重叠综合征到sAML的白血病发生轨迹的最新证据,以及同种异体移植中供体细胞引起的白血病。此外,我们回顾了种系和获得性易患白血病,并讨论了治疗前景和未来的方向。
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引用次数: 0
Updates on current and future research in acute myeloid leukemia 急性髓性白血病目前和未来研究进展
IF 4.1 3区 医学 Q1 HEMATOLOGY Pub Date : 2025-06-01 DOI: 10.1053/j.seminhematol.2025.10.001
Frederik Damm , Lars Bullinger
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引用次数: 0
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Seminars in hematology
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