Large-scale dependency and drug screens to characterize the therapeutic vulnerabilities of multiple myeloma with 1q
- PMID: 40073369
- PMCID: PMC12290518
- DOI: 10.1182/blood.2024025102
Large-scale dependency and drug screens to characterize the therapeutic vulnerabilities of multiple myeloma with 1q
Abstract
The development of targeted therapy for patients with multiple myeloma (MM) is hampered by the low frequency of actionable genetic abnormalities. Gain or amplification of chromosome 1q (1q+) is the most frequent arm-level copy number gain in patients with MM and is associated with higher risk of progression and death despite recent therapeutic advances. Thus, developing targeted therapy for patients with MM with 1q+ stands to benefit a large portion of patients in need of more effective management. Here, we used large-scale dependency screens and drug screens to systematically characterize the therapeutic vulnerabilities of MM with 1q+ and displayed increased sensitivity to myeloid cell leukemia-1 (MCL1) and phosphatidyl inositol 3-kinase (PI3K) inhibitors. Using single-cell RNA sequencing, we compared subclones with and without 1q+ within the same patient tumors and demonstrated that 1q+ is associated with higher levels of MCL1 and the PI3K pathway. Furthermore, by isolating isogenic clones with different copy number profiles for part of the chromosome 1q arm, we observed increased sensitivity to MCL1 and PI3K inhibitors with arm-level gain. Lastly, we demonstrated synergy between MCL1 and PI3K inhibitors and dissected their mechanism of action in MM with 1q+, uncovering a cytostatic effect. In conclusion, this study highlights that MM with 1q+ may present enhanced sensitivity to MCL1 and PI3K inhibitors, enabling their use at lower doses without sacrificing efficacy, and may thus accelerate the development of targeted therapy for patients with MM and 1q+.
© 2025 American Society of Hematology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Conflict of interest statement
Conflict-of-interest disclosure: R.S.-P. is a founder of, holds privately held equity in, and serves as a consultant for Predicta Biosciences. M.S.D. has received institutional research grants from Ascentage Pharma, MEI Pharma, and Novartis; receives royalties from UpToDate; and reports consulting fees from AbbVie, Adaptive Biotechnologies, Ascentage Pharma, AstraZeneca, BeiGene, Bristol Myers Squibb, Eli Lilly, Genentech, Genmab, Janssen, Merck, MEI Pharma, Nuvalent, and Takeda. G.G. receives research funding from IBM, Pharmacyclics/AbbVie, Bayer, Genentech, Calico, Ultima Genomics, Inocras, Google, and Kite; is an inventor on patent applications filed by the Broad Institute related to MSMuTect, MSMutSig, POLYSOLVER, SignatureAnalyzer-GPU, MSEye, and MinimuMM-seq; is a founder, consultant, and holds privately held equity in Scorpion Therapeutics; is also a founder of, and holds privately held equity in, Predicta Biosciences; and was a consultant to Merck. I.M.G. has consulted for Bristol Myers Squibb, AstraZeneca, Amgen, Curio Science, Sanofi, Janssen, Pfizer, Menarini Silicone Biosystems, Aptitude Health, GlaxoSmithKline, AbbVie, Adaptive Biotechnologies, Window Therapeutics, and Regeneron; has received honoraria or speaker fees from Vor Biopharma, Janssen, MJH Life Sciences, Novartis, Takeda, Amgen, Regeneron, Curio Science, Standard Biotools, and Physicians’ Education Resource; is a founder and executive board member of, and holds private equity in, Predicta Biosciences; and her spouse is the chief medical officer of, and holds private equity in, Disc Medicine. The remaining authors declare no competing financial interests.
Comment in
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Another 1q bites the dust.Blood. 2025 Jul 3;146(1):7-8. doi: 10.1182/blood.2025028903. Blood. 2025. PMID: 40608352 No abstract available.
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