From the publishers of JADPRO

Multiple Myeloma Resource Center

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Application of GPRC5D targeting therapy in relapsed refractory multiple myeloma

Last Updated: Monday, March 24, 2025

Targeted therapies are significantly advancing the treatment of multiple myeloma (MM). While BCMA-targeted therapies have shown success, GPRC5D is a promising emerging target for relapsed/refractory MM (RRMM). Ongoing research and clinical trials suggest GPRC5D-targeted therapy could be a significant breakthrough in MM treatment. Further studies are needed to evaluate optimal treatment combinations.

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News & Literature Highlights

The Lancet

Mezigdomide, carfilzomib, and dexamethasone versus carfilzomib and dexamethasone in patients with relapsed or refractory multiple myeloma (SUCCESSOR-2): a phase 3, open-label, randomised controlled trial

American Journal of Blood Research

Therapy-related B-cell acute lymphoblastic leukemia after treatment for multiple myeloma

Cancer Epidemiology

Occupational pesticide exposure and association of monoclonal gammopathy of undetermined significance in the Western Macroregion of Paraná

Molecular and Cellular Probes

The role of RNA modifications in the pathological mechanisms and therapeutic targeting of multiple myeloma

The FEBS Journal

Understanding and addressing resistance to IMiDs immunomodulatory compounds in multiple myeloma

Transplantation and Cellular Therapy

Trial in progress: QUINTESSENTIAL-2—a phase 3 Study of arlocabtagene autoleucel versus standard of care in adult patients with relapsed and refractory multiple myeloma (RRMM) exposed to lenalidomide

Journal of Translational Medicine

Long-term follow-up results of anti-BCMA CAR-T cell therapy combined with autologous hematopoietic stem cell transplantation in relapsed/refractory multiple myeloma with extramedullary disease

The Asco Post

Off-the-shelf CAR T-cell therapy produces deep, durable responses in heavily pretreated multiple myeloma

Cancer Medicine

Lenalidomide plus dexamethasone as first-line therapy in transplant-ineligible patients with multiple myeloma

BMC Infectious Diseases

Machine learning triumphs in differentiating fungal and bacterial infections

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