主页 文献库文献详情
PMID: 40953759 已发表 · ppublish 英语

Predictors of first line treatment failure in classic Hodgkin lymphoma: A comprehensive review.

Critical reviews in oncology/hematology ·第 216 卷 ·2025-12-00

Alibrahim MN, Gloghini A, Carbone A

摘要

Classic Hodgkin lymphoma is a highly curable B-cell malignancy; however, 10-30 % of patients experience primary refractory disease or early relapse. While PET/CT is a cornerstone in response-adapted therapy, it has notable limitations, including variable sensitivity, and inability to capture molecular heterogeneity or predict minimal residual disease. Emerging non-invasive techniques such as circulating tumour DNA (ctDNA) analysis, extracellular vesicle-associated biomarkers, and cytokine profiling offer new avenues for dynamic, real-time disease monitoring. Liquid biopsy through ctDNA analysis enables early relapse detection, characterization of clonal evolution, and personalized risk stratification. Additionally, tumour-associated macrophages, tumour-derived exosomes, and immune checkpoint markers such as PD-L1 and IL1β+ monocytes/macrophages have been identified as potential indicators of non-response. Advanced molecular profiling of Hodgkin Reed-Sternberg cells further reveals key genetic mutations (e.g., SOCS1, TNFAIP3, PTPN1) contributing to immune evasion, particularly in non-responders. Despite these advancements, a critical gap remains in the integration of these novel biomarkers into clinical practice. Current studies often lack stratification of high-risk subsets, limiting the development of targeted therapies. Bridging this gap through advanced molecular profiling, immune landscape assessments, and the incorporation of novel, non-invasive techniques alongside PET/CT will be crucial for refining risk models and optimizing outcomes for patients with refractory or relapsed disease.

关键词
Biomarkers Classic Hodgkin lymphoma CtDNA Non-responders PET/CT Risk-stratification TME
文献信息
期刊
Critical reviews in oncology/hematology
期刊简称
Crit Rev Oncol Hematol
ISSN
1879-0461
发表日期
2025-12-00
语言
英语
国家/地区
Netherlands
NLM ID
8916049
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: [email protected]