Evidence map›Paper›PMID 42827144›Full record

ArticleBlood cancer journal2026

A myeloid-dormant metabolic transcriptome identifies a poor-prognosis subgroup in hyperdiploid multiple myeloma with targetable vulnerabilities.

Naroa Barrena, Edurne San José-Enériz, Luis V Valcárcel, Danel Olaverri-Mendizabal, Estibaliz Urizar-Compains, Leire Garate, Estíbaliz Miranda, Paula Rodriguez-Marquez, Romika Kumari, Patxi San Martín-Uriz and 7 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Naroa Barrena *TECNUN, Universidad de Navarra, San Sebastián, Spain.ORCID http://orcid.org/0000-0003-4324-3371
Edurne San José-Enériz *Hemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.ORCID http://orcid.org/0000-0001-5786-5273
Luis V ValcárcelTECNUN, Universidad de Navarra, San Sebastián, Spain.
Danel Olaverri-MendizabalTECNUN, Universidad de Navarra, San Sebastián, Spain.ORCID http://orcid.org/0000-0003-1740-6616
Estibaliz Urizar-CompainsHemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.
Leire GarateCancer Centre Clínica Universidad de Navarra (CCUN), Pamplona, Navarra, España.
Estíbaliz MirandaHemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.
Paula Rodriguez-MarquezHemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.ORCID http://orcid.org/0000-0002-9812-396X
Romika KumariInstitute for Molecular Medicine Finland - FIMM, HiLIFE - Helsinki Institute of Life Science, iCAN Digital Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
Patxi San Martín-UrizHemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.ORCID http://orcid.org/0000-0003-1483-4279
Juan Roberto Rodriguez-MadozHemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain.
Leonor Puchades-CarrascoDrug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Valencia, Spain.ORCID http://orcid.org/0000-0003-0340-7458
Caroline A HeckmanInstitute for Molecular Medicine Finland - FIMM, HiLIFE - Helsinki Institute of Life Science, iCAN Digital Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4324-8706
Paula Rodriguez-OteroCancer Centre Clínica Universidad de Navarra (CCUN), Pamplona, Navarra, España.ORCID http://orcid.org/0000-0001-5236-7785
Francisco J Planes *TECNUN, Universidad de Navarra, San Sebastián, Spain. fplanes@unav.es.ORCID http://orcid.org/0000-0003-1155-3105
Xabier Agirre *Hemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain. xaguirre@unav.es.ORCID http://orcid.org/0000-0002-6558-9560
Felipe Prósper *Hemato-Oncology Program, CIMA Universidad de Navarra, IDISNA, Pamplona, Spain. fprosper@unav.es.ORCID http://orcid.org/0000-0001-6115-8790

Funding

Departamento de Educación, Gobierno de Navarra (Department of Education, Government of Navarra) GN2023/11Departamento de Educación, Gobierno de Navarra (Department of Education, Government of Navarra) GNS_44-2021, 0011-1411-2022-000077 (NANO-RC), NANO-ProtacsMinistry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CP22/00005Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI22/00947Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI23/00488
6 · The paper itself

Abstract

Aberrant metabolism, a hallmark of cancer, reveals vulnerabilities across human tumors. Here, we demonstrate that transcriptomic alterations of metabolism-related genes (metabolic transcriptome) in multiple myeloma (MM), classify patients into six metabolic-transcriptional groups characterized by specific metabolic pathways and cytogenetic alterations, independent of currently described myeloma risk groups. Interestingly, hyperdiploid patients clustered into 2 groups (MM5 and MM6) with significantly distinct Progression-Free and Overall Survival. The MM5 group, with worse prognosis, showed a significant enrichment in myeloid and dormant cell signatures. Regulon analysis identified myeloid transcription factors (TFs) as regulators of metabolic, myeloid, and dormant genes in MM5. In addition to myeloid genes acting as potential biomarkers and therapeutic targets, the metabolic gene ACSL1 plays a crucial role in MM5, decreasing cell proliferation by affecting metabolism and mitochondrial function, sensitizing MM to BCL-2 family inhibitors. These findings highlight ACSL1 as a promising therapeutic target for MM5 and provide new insights into MM metabolic heterogeneity that may guide future precision medicine strategies.

Indexed as

Multiple MyelomaMyeloid CellsTranscriptomeBiomarkers, TumorCoenzyme A LigasesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisACSL1 protein, humanBiomarkers, TumorCoenzyme A Ligases

Identifiers

PMID42827144
PMCPMC13633272

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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.