CAR-T Cell Therapy for Classical Hodgkin Lymphoma.
Mikalai KatsinDmitri DormeshkinAlexander N MeleshkoAlexandr A MigasSimon DubovikNatalya KonoplyaPublished in: HemaSphere (2023)
Classical Hodgkin lymphoma (cHL) is a malignancy characterized by the presence of Hodgkin and Reed-Sternberg (HRS) cells within a complex tumor microenvironment (TME). Despite advances in conventional therapies, a subset of cHL patients experience relapse or refractory disease, necessitating the exploration of novel treatment strategies. Chimeric antigen receptor T cell (CAR-T cell) therapy has emerged as a promising approach for the management of cHL, harnessing the power of genetically modified T cells to recognize and eliminate tumor cells. In this article, we provide an overview of the pathogenesis of cHL, highlighting the key molecular and cellular mechanisms involved. Additionally, we discuss the rationale for the development of CAR-T cell therapy in cHL, focusing on the identification of suitable targets on HRS cells (such as CD30, CD123, LMP1, and LMP2A), clonotypic lymphoma initiating B cells (CD19, CD20), and cells within the TME (CD123, CD19, CD20) for CAR-T cell design. Furthermore, we explore various strategies employed to enhance the efficacy and safety of CAR-T cell therapies in the treatment of cHL. Finally, we present an overview of the results obtained from clinical trials evaluating the efficacy of CAR-T cell therapies in cHL, highlighting their potential as a promising therapeutic option. Collectively, this article provides a comprehensive review of the current understanding of cHL pathogenesis and the rationale for CAR-T cell therapy development, offering insights into the future directions of this rapidly evolving field.
Keyphrases
- cell therapy
- hodgkin lymphoma
- induced apoptosis
- stem cells
- mesenchymal stem cells
- clinical trial
- cell cycle arrest
- epstein barr virus
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- signaling pathway
- randomized controlled trial
- endoplasmic reticulum stress
- cell death
- oxidative stress
- big data
- artificial intelligence
- climate change
- open label
- deep learning
- bone marrow
- study protocol