ReviewOncoscience2025
Targeted therapies and resistance mechanisms in lymphoma: Current landscape and emerging solutions.
Review in Oncoscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Precision Medicine in Non-Hodgkin Lymphoma: Advances in BTK Inhibition, CD30-Directed Antibody-Drug Conjugates, and HDAC-Mediated Epigenetic Therapy with Pirtobrutinib, Brentuximab Vedotin, and Belinostat.Journal of clinical medicine · 2026Review
- Monoclonal Antibodies and Derivatives: Therapeutic Tools for Cancer.Oncology research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lymphomas represent a diverse group of hematologic malignancies with variable clinical behavior and underlying biology. The fifth edition of the WHO classification (WHO-HAEM5, 2022) provides an updated, lineage-based framework to categorize lymphoid neoplasms, integrating immunophenotypic, genetic, and clinical features. With advancements in molecular profiling and immunotherapy, targeted treatments have transformed the therapeutic landscape of both Hodgkin and non-Hodgkin lymphomas. This review delineates the critical role of cell surface and intracellular receptors-including CD19, CD20, CD30, PD-1, and CCR4-in lymphoma pathogenesis and as therapeutic targets. We comprehensively evaluate FDA-approved targeted agents, including monoclonal antibodies (rituximab, brentuximab vedotin, obinutuzumab, mogamulizumab), immune checkpoint inhibitors (nivolumab, pembrolizumab), CAR T-cell therapies (axi-cel, tisa-cel, liso-cel, brexu-cel), bispecific T-cell engagers (mosunetuzumab, epcoritamab), and small-molecule inhibitors (ibrutinib, idelalisib, venetoclax). Each class is appraised for mechanism of action, efficacy, and safety in key lymphoma subtypes. Despite significant progress, therapeutic resistance remains a major obstacle. We categorize resistance mechanisms as antigen loss or modulation, pathway reactivation, immune microenvironment adaptation, and genetic/epigenetic evolution. Examples include CD19 antigen loss post-CAR-T therapy, BTK mutations conferring ibrutinib resistance, and immune checkpoint upregulation impairing T-cell function. Emerging strategies to counteract resistance include rational combination therapies, dual-targeted CAR constructs, next-generation bispecific antibodies, and precision-guided immunotherapy. Integration of biomarker profiling, real-time resistance monitoring, and novel immune-engineering approaches offers potential to overcome current therapeutic limitations. In conclusion, understanding the molecular basis of lymphoma and resistance mechanisms is critical to optimizing targeted therapy. This review synthesizes current evidence to inform clinical decision-making and outlines future directions for durable, personalized lymphoma care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.