Share:
Peer-Reviewed Publication
Biomed Pharmacother2026;202119751.July 24, 2026Journal Article

Dual bispecific protein engager-armed T cells targeting BCMA and B7-H3 overcome antigen heterogeneity in multiple myeloma.

Thanida Chanpong1, Nunghathai Sawasdee1, Kamonlapat Supimon1, Thanich Sangsuwannukul2, Thaweesak Chieochansin1, Seiji Okada3, Pa-Thai Yenchitsomanus4, Mutita Junking5
1Siriraj Center of Research Excellence for Cancer Immunotherapy (SiCORE-CIT), and Division of Molecular Medicine, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
2Siriraj Center of Research Excellence for Cancer Immunotherapy (SiCORE-CIT), and Division of Molecular Medicine, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Department of Molecular Medicine, Mayo Clinic, Rochester, MN, United States.
3Division of Hematopoiesis, Graduate School of Medical Sciences, and Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
4Siriraj Center of Research Excellence for Cancer Immunotherapy (SiCORE-CIT), and Division of Molecular Medicine, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. Electronic address: pa-thai.yen@mahidol.ac.th.
5Siriraj Center of Research Excellence for Cancer Immunotherapy (SiCORE-CIT), and Division of Molecular Medicine, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. Electronic address: mutita.jun@mahidol.ac.th.

Abstract

Multiple myeloma (MM) remains an incurable plasma cell malignancy, with most patients ultimately progressing to relapsed or refractory MM (RRMM) despite therapeutic advances. Antigen heterogeneity and immune escape, particularly the loss of B-cell maturation antigen (BCMA), pose major challenges to effective immunotherapy. Notably, BCMA loss driven by alterations in TNFRSF17 occurs in a substantia…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.