The translational science of hodgkin lymphoma. (12th November 2018)

• Record Type: Journal Article
• Authors: Cirillo, Melita; Reinke, Sarah; Klapper, Wolfram; Borchmann, Sven
• Other Names: Evens Andrew M. guestEditor.
• Is Part Of: British journal of haematology. Volume 184:Number 1(2019)
• Page Start: 30
• Page End: 44
• Publication Date: 2018-11-12
• Subjects: hodgkin lymphoma -- prognosis -- microenvironment -- immunotherapy -- lymphoma; Hematology -- Periodicals; Blood -- Diseases -- Periodicals; 616.15
• DOI: 10.1111/bjh.15658
• Languages: English
• ISSNs: 0007-1048

Abstract

Summary: Hodgkin Lymphoma (HL) is an unusual B ‐ cell lymphoma because the malignant cells exist as a minority population in a densely cellular microenvironment. The microenvironment is comprised predominately of inflammatory and immune cells with fibrosis in some cases. There are multiple dysregulated signalling pathways that sustain HL within this microenvironment, such as the Nuclear factor‐κB and Janus kinase/signal transducers and activators of transcription pathways. Advances in genomic medicine have enabled a better characterisation of the rare tumour cells and improved our understanding of the signalling mechanisms that exist between the malignant cell and its microenvironment. Current therapy for HL produces excellent clinical outcomes in most younger patients. However, problems with current treatment approaches include poorer outcomes in the elderly, toxicity of highly‐effective combination chemotherapy regimens and relapse in high‐risk patients. Better understanding of disease biology aids in upfront prognostication of patients, defines new methods for treatment monitoring and assists in the recognition of novel targets for therapy. Biology‐driven therapies, including anti‐CD30 antibody conjugates, cellular immunotherapies and immune modulation, particularly with checkpoint inhibitors, have changed treatment algorithms for relapsed/refractory patients. Future challenges exist in incorporating immune‐based therapies earlier in treatment algorithms to reduce toxicity and prevent relapse for patients with HL.