Evidence map›Paper›PMID 36752202›Full record

ArticleJCI insight2023

Heterogeneity of B cell lymphopoiesis in patients with premalignant and active myeloma.

Jana Jakubikova, Danka Cholujova, Gabor Beke, Teru Hideshima, Lubos Klucar, Merav Leiba, Krzysztof Jamroziak, Paul G Richardson, Efstathios Kastritis, David M Dorfman and 1 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Anti-myeloma activity of the CXCR4 antagonist WZ811.Journal of molecular medicine (Berlin, Germany) · 2026
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  9. Distribution, contribution and regulation of nestinJournal of advanced research · 2024
    Review
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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

11 authors at 7 institutions in 5 countries.

Jana JakubikovaDana-Farber Cancer Institute, Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Boston, Massachusetts, USA.
Danka CholujovaDepartment of Tumor Immunology, Cancer Research Institute, Biomedical Research Center.
Gabor BekeInstitute of Molecular Biology, Slovak Academy of Sciences, Bratislava, Slovakia.
Teru HideshimaDana-Farber Cancer Institute, Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Boston, Massachusetts, USA.
Lubos KlucarInstitute of Molecular Biology, Slovak Academy of Sciences, Bratislava, Slovakia.
Merav LeibaDepartment of Hematology, Samson Assuta Ashdod University Hospital, Ashdod, Israel.
Krzysztof JamroziakDepartment of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
Paul G RichardsonDana-Farber Cancer Institute, Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Boston, Massachusetts, USA.
Efstathios KastritisDepartment of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
David M DorfmanDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Kenneth C AndersonDana-Farber Cancer Institute, Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Boston, Massachusetts, USA.
Harvard University · USSlovak Academy of Sciences · SKBen-Gurion University of the Negev · ILBrigham and Women's Hospital · USCancer Research Institute of the Slovak Academy of Sciences · SKMedical University of Warsaw · PLNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better characterize the heterogeneity of multiple myeloma (MM), we profiled plasma cells (PCs) and their B cell lymphopoiesis in the BM samples from patients with monoclonal gammopathy of undetermined significance, smoldering MM, and active MM by mass cytometry (CyTOF) analysis. Characterization of intra- and interneoplastic heterogeneity of malignant plasmablasts and PCs revealed overexpression of the MM SET domain (MMSET), Notch-1, and CD47. Variations in upregulation of B cell signaling regulators (IFN regulatory factor 4 [IRF-4], CXCR4, B cell lymphoma 6 [Bcl-6], c-Myc, myeloid differentiation primary response protein 88 [MYD88], and spliced X box-binding protein 1 [sXBP-1]) and aberrant markers (CD319, CD269, CD200, CD117, CD56, and CD28) were associated with different clinical outcomes in clonal PC subsets. In addition, prognosis was related to heterogeneity in subclonal expression of stemness markers, including neuroepithelial stem cell protein (Nestin), SRY-box transcription factor 2 (Sox2), Krüppel-like factor 4 (KLF-4), and Nanog. Furthermore, we have defined significantly elevated levels of MMSET, MYD88, c-Myc, CD243, Notch-1, and CD47 from hematopoietic stem cells to PCs in myeloma B cell lymphopoiesis, noted even in premalignant conditions, with variably modulated expression of B cell development regulators, including IRF-4, Bcl-2, Bcl-6, and sXBP-1; aberrant PC markers (such as CD52, CD44, CD200, CD81, CD269, CD117, and CXCR4); and stemness-controlling regulators, including Nanog, KLF-4, octamer-binding transcription factor 3/4 (Oct3/4), Sox2, and retinoic acid receptor α2 (RARα2). This study provides the rationale for precise molecular profiling of patients with MM by CyTOF technology to define disease heterogeneity and prognosis.

Indexed as

Multiple MyelomaB-LymphocytesCD47 AntigenHumansLymphopoiesisMyeloid Differentiation Factor 88CD47 AntigenMyeloid Differentiation Factor 88Bone marrowClonal selectionHematologyOncology

Identifiers

PMID36752202
PMCPMC9977435
OpenAlexW4319341342

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.