Evidence map›Paper›PMID 40073369›Full record

ArticleBlood2025

Large-scale dependency and drug screens to characterize the therapeutic vulnerabilities of multiple myeloma with 1q.

Romanos Sklavenitis-Pistofidis, Elizabeth D Lightbody, Mairead Reidy, Junko Tsuji, Jean-Baptiste Alberge, Michelle P Aranha, Daniel Heilpern-Mallory, Harvey G Roweth, Daisy Huynh, Stephen J F Chong and 17 more

Abstract read
In one paragraph

Article in Blood, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Romanos Sklavenitis-PistofidisDepartment of Medicine, Harvard Medical School, Boston, MA.
Elizabeth D LightbodyDepartment of Medicine, Harvard Medical School, Boston, MA.
Mairead ReidyDepartment of Medicine, Harvard Medical School, Boston, MA.
Junko TsujiBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.ORCID 0000-0003-0139-3750
Jean-Baptiste AlbergeDepartment of Medicine, Harvard Medical School, Boston, MA.ORCID 0000-0002-4218-7294
Michelle P AranhaDepartment of Medicine, Harvard Medical School, Boston, MA.ORCID 0000-0002-8230-5726
Daniel Heilpern-MalloryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-4296-015X
Harvey G RowethDepartment of Medicine, Harvard Medical School, Boston, MA.
Daisy HuynhDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Stephen J F ChongDepartment of Medicine, Harvard Medical School, Boston, MA.
Anna Y ChungDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Jeremy ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Liam HackettDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3330-2369
Nicholas J HaradhvalaBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.ORCID 0000-0003-1113-3135
Ting WuBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.ORCID 0009-0001-4081-0660
Nang K SuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-2875-6590
Brianna BerriosDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Saveliy BelkinBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.ORCID 0000-0002-1542-8996
Ankit K DuttaDepartment of Medicine, Harvard Medical School, Boston, MA.ORCID 0000-0003-2535-3729
Ryan A KnudsonMayo Clinic, Office of Core Shared Services, Rochester, MN.
Carolyn BrandtMayo Clinic, Office of Core Shared Services, Rochester, MN.
Patricia T GreippMayo Clinic, Office of Core Shared Services, Rochester, MN.ORCID 0000-0002-5536-9011
Matthew S DavidsDepartment of Medicine, Harvard Medical School, Boston, MA.
Maria PapaioannouFaculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Gad GetzDepartment of Medicine, Harvard Medical School, Boston, MA.
Irene M GhobrialDepartment of Medicine, Harvard Medical School, Boston, MA.ORCID 0000-0001-7361-3092
Salomon ManierCancer Heterogeneity, Plasticity and Resistance to Therapies Unit, INSERM UMRS1277, Centre National de la Recherche Scientifique UMR9020, Lille University, Lille, France.ORCID 0000-0001-7653-711X

Funding

National Institutes of Health (NIH), National Cancer Institute (NCI) R01-CA266298-01A1National Institutes of Health (NIH), National Cancer Institute (NCI) R35-CA2263817-01A1
6 · The paper itself

Abstract

abstractThe 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+.

Indexed as

Antineoplastic AgentsChromosomes, Human, Pair 1Multiple MyelomaCell Line, TumorDNA Copy Number VariationsDrug Screening Assays, AntitumorHumansMyeloid Cell Leukemia Sequence 1 ProteinPhosphoinositide-3 Kinase InhibitorsAntineoplastic AgentsMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinPhosphoinositide-3 Kinase Inhibitors

Identifiers

PMID40073369
PMCPMC12290518

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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.