Evidence map›Paper›PMID 41411148›Full record

ArticleBlood2026

Circulating tumor cells in myeloma are a compound biomarker for bone marrow high-risk genomic alterations and tumor load.

Cathelijne Fokkema, Luca Bertamini, Madelon M E de Jong, Sabrin Tahri, Davine Hofste Op Bruinink, Zoltan Kellermayer, Natalie Papazian, Chelsea den Hollander, Michael P W Vermeulen, Elodie C G Stoetman and 14 more

Abstract read
In one paragraph

Article in Blood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Cathelijne FokkemaDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0003-0047-0590
Luca BertaminiDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0003-3722-9696
Madelon M E de JongDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0002-6145-6154
Sabrin TahriDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0001-8616-6607
Davine Hofste Op BruininkDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0002-1296-120X
Zoltan KellermayerDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Natalie PapazianDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Chelsea den HollanderDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Michael P W VermeulenDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Elodie C G StoetmanDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Gregory van BeekDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0003-0283-7069
Remco HoogenboezemDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Vincent H J van der VeldenDepartment of Immunology, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-9457-3763
Cyrille HulinHematology Unit, Haut Leveque Hospital, University Hospital Bordeaux, Bordeaux, France.
Aurore PerrotHematology Department, Toulouse University Hospital, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France.ORCID 0000-0003-0131-8689
Philippe MoreauHematology Department, University Hospital Hôtel-Dieu, Nantes, France.
Melissa RoweJohnson & Johnson, High Wycombe, United Kingdom.
Diego VieyraJanssen Research & Development, Spring House, PA.
Robin CarsonJohnson & Johnson, High Wycombe, United Kingdom.
Mark van DuinDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Mathijs A SandersDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0002-8575-9213
Annemiek BroijlDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Pieter SonneveldDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0002-0808-2237
Tom CupedoDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractHigh levels of circulating tumor cells (CTC) are a powerful predictor of poor outcomes in newly diagnosed multiple myeloma, yet the mechanistic underpinnings of this correlation remain unknown. To investigate whether CTC-related pathobiology is driven by a specific CTC subset, paired bone marrow and blood samples from patients with newly diagnosed multiple myeloma were analyzed by single-cell transcriptomics and whole-genome sequencing. This revealed that down to the individual clone level, CTC and paired bone marrow cells are transcriptionally similar, without evidence for a distinct circulating population. In contrast, bone marrow myeloma cells from patients with high CTC levels had increased proliferation and unbalanced primary genetic events, including enrichment for MAF and CCND translocations. To investigate the impact of heterogenic genomic events on CTC levels, whole-exome and bulk RNA sequencing from the Multiple Myeloma Research Foundation CoMMpass data set were analyzed and validated in our in-house data sets. Bone marrow tumor cells from patients with high CTC levels were uniformly characterized by transcriptomic signatures of proliferation. Furthermore, CTC levels were uniquely dependent on primary genomic events and high-risk secondary genomic events, including amplification 1q, deletion 1p, deletion 13q, biallelic TP53 mutations, and increased apolipoprotein B editing complex-induced mutations even in patients without MAF translocations. Finally, we developed a model that predicts the impact of genetic alterations and tumor burden on CTC levels. In sum, we reveal that CTC are the net result of tumor burden, primary translocations, and secondary genomic events, making CTC a powerful biomarker for genomics-driven high-risk disease in patients with newly diagnosed myeloma.

Indexed as

Biomarkers, TumorBone MarrowMultiple MyelomaNeoplastic Cells, CirculatingFemaleHumansMaleSingle-Cell AnalysisBiomarkers, Tumor

Identifiers

PMID41411148
PMCPMC13014090

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.