Evidence map›Paper›PMID 40367415›Full record

ArticleBlood advances2025

Extramedullary myeloma is genomically complex and characterized by near-universal MAPK pathway alterations.

Saurabh Zanwar, Joseph Novak, Wilson Gonsalves, Michael Howe, Esteban Braggio, S Vincent Rajkumar, Moritz Binder, Dragan Jevremovic, Surendra Dasari, Shaji Kumar

Abstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Extramedullary Disease-Achilles Heel in Myeloma?American journal of hematology · 2026
    Review
  8. Review
  9. Defining High-Risk Disease Biology in Multiple Myeloma: A Narrative Review.Blood and lymphatic cancer : targets and therapy · 2026
    Review
  10. Article
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

10 authors.

Saurabh ZanwarDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-5074-8453
Joseph NovakHematology Data Science, Mayo Clinic, Rochester, MN.
Wilson GonsalvesDivision of Hematology, Mayo Clinic, Rochester, MN.
Michael HoweHematology Data Science, Mayo Clinic, Rochester, MN.
Esteban BraggioDepartment of Cancer Biology, Mayo Clinic, Phoenix, AZ.ORCID 0000-0003-3860-4830
S Vincent RajkumarDivision of Hematology, Mayo Clinic, Rochester, MN.
Moritz BinderDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-9014-9658
Dragan JevremovicDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Surendra DasariHematology Data Science, Mayo Clinic, Rochester, MN.
Shaji KumarDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-5392-9284

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Yi Lin · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

abstractExtramedullary disease (EMD) is associated with an inferior prognosis and lower response rates to conventional multiple myeloma (MM)-directed therapies compared to MM without EMD. A deeper understanding of the molecular landscape and underlying drivers of EMD is essential to identify potential targets for novel therapeutic strategies. To address this, we performed whole-exome sequencing on EMD tumor tissue from 18 unique patients and bone marrow aspirates (BMAs) from 20 patients at the time of EMD development. Notably, paired EMD and BMA samples were collected from 6 patients at the point of EMD diagnosis, allowing for direct comparison of molecular profiles. Our analysis revealed a near-universal presence of mutations within the MAPK pathway in EMD samples (94%), compared to BMAs (60%; odds ratio, 10.7; P = .02; q < 0.1). Additionally, mutations in established driver genes (NRAS, KRAS, and BRAF) were common and frequently clonal, suggesting their central role in EMD pathogenesis. We also identified alterations in genes associated with cell adhesion and migration (ROBO1, ROBO2, and FAT1) and the SWI/SNF complex and epigenetic regulators (ARID1A, KMT2C, KMT2D, and EP300), although these were predominantly subclonal. Furthermore, we frequently detected biallelic alterations in the tumor suppressor genes MAX (22%), a binding partner for MYC, and CDKN2C (17%). Genomic complexity was significantly higher in EMD samples than BMAs, as evidenced by increased tumor mutational burden and the enrichment of 1q gain/amplifications. These findings underscore the distinct molecular profile of EMD compared to BMA and highlight the genomically complex and heterogeneous nature of extramedullary disease in MM.

Indexed as

MAP Kinase Signaling SystemMultiple MyelomaAdultAgedExome SequencingFemaleGenomicsHumansMaleMiddle AgedMutation

Identifiers

PMID40367415
PMCPMC12337168

What OpenQuestion holds

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Registered trials

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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.