Beta-2 microglobulin in lymphoma

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Gaurav Gupta , Muhammad Afzal , Ahsas Goyal , G. PadmaPriya , Manish Srivastava , Kattela Chennakesavulu , Biswaranjan Mohanty , A. Rekha , Avijit Mazumder , Kavita Goyal , Haider Ali , Moyad Shahwan
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引用次数: 0

Abstract

Lymphomas are heterogeneous hematologic malignancies characterised by the abnormal proliferation of lymphocytes. β2-Microglobulin (β2M) functions both as a structural subunit of primary histocompatibility complex class I (MHC I) and as a circulating biomarker with established diagnostic and prognostic significance. Serum β2M > 2.5 mg/L is elevated in 60 % of mantle cell lymphoma and in > 50 % of advanced-stage diffuse large B-cell lymphoma, correlating with higher tumor burden, International Prognostic Index scores, and inferior survival; cerebrospinal fluid β2M enhances central nervous system lymphoma diagnosis with 97 % sensitivity and specificity. Mechanistically, β2M stabilizes MHC I to enable CD8+ T-cell antigen presentation and, when shed, activates JAK/STAT and NF-κB pathways that drive tumor proliferation and immune evasion. Preclinical strategies targeting these β2M-driven signals such as anti-β2M antibodies combined with proteasome inhibitors demonstrate enhanced cytotoxicity in resistant models. Advanced three-dimensional scaffold culture platforms preserve β2M-tumour-immune interactions, allowing for the investigation of matrix stiffness effects on signalling. Emerging mechanotherapy approaches leverage extracellular matrix rigidity to modulate β2M-related pathways and sensitize lymphoma cells to therapy. The remaining challenges include assay standardization, cohort variability, and lack of prospective validation of β2M-based indices. Future efforts should focus on harmonising β2M measurement methods and integrating mechanistic insights into refined risk stratification and therapeutic strategies.
淋巴瘤中的β -2微球蛋白
淋巴瘤是以淋巴细胞异常增生为特征的异质性血液恶性肿瘤。β2-微球蛋白(β2M)既是一级组织相容性复合体I类(MHC I)的结构亚基,也是一种具有明确诊断和预后意义的循环生物标志物。血清β2M >;在60%的套细胞淋巴瘤中升高2.5 mg/L;50%的晚期弥漫性大b细胞淋巴瘤,与较高的肿瘤负担、国际预后指数评分和较差的生存率相关;脑脊液β2M对中枢神经系统淋巴瘤的诊断有97%的敏感性和特异性。从机制上讲,β2M稳定MHC I,使CD8+ t细胞抗原呈递,当脱落时,激活驱动肿瘤增殖和免疫逃避的JAK/STAT和NF-κB途径。针对这些β 2m驱动信号的临床前策略,如抗β 2m抗体联合蛋白酶体抑制剂,在耐药模型中显示出增强的细胞毒性。先进的三维支架培养平台保留β 2m -肿瘤免疫相互作用,允许研究基质刚度对信号传导的影响。新兴的机械治疗方法利用细胞外基质刚性来调节β 2m相关通路并使淋巴瘤细胞对治疗敏感。剩下的挑战包括分析标准化、队列可变性和缺乏基于β 2m的指数的前瞻性验证。未来的努力应该集中在协调β2M的测量方法,并将机制见解整合到精细的风险分层和治疗策略中。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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