Evidence map›Paper›PMID 37235573›Full record

ArticlePloS one2023

Liquid biopsy-based monitoring of residual disease in multiple myeloma by analysis of the rearranged immunoglobulin genes-A feasibility study.

Anita Marx, Magdolna Osváth, Bence Szikora, Orsolya Pipek, István Csabai, Ákos Nagy, Csaba Bödör, Zsolt Matula, Ginette Nagy, András Bors and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
1.7field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  4. 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

14 authors at 2 institutions in 1 country.

Anita MarxDepartment of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-8969-5766
Magdolna OsváthDepartment of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary.
Bence SzikoraDepartment of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary.
Orsolya PipekDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
István CsabaiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Ákos NagyDepartment of Pathology and Experimental Cancer Research, HCEMM-SE Molecular Oncohematology Research Group, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-6118-0365
Csaba BödörDepartment of Pathology and Experimental Cancer Research, HCEMM-SE Molecular Oncohematology Research Group, Semmelweis University, Budapest, Hungary.
Zsolt MatulaNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.ORCID 0000-0003-1458-8549
Ginette NagyNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.
András BorsNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.
Ferenc UherNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.
Gábor MikalaNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.
István Vályi-NagyNational Institute of Hematology and Infectious Diseases, Central Hospital of Southern Pest, Budapest, Hungary.
Imre KacskovicsDepartment of Immunology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary.
Eötvös Loránd University · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for sensitive monitoring of minimal/measurable residual disease (MRD) in multiple myeloma emerged as novel therapies led to deeper responses. Moreover, the potential benefits of blood-based analyses, the so-called liquid biopsy is prompting more and more studies to assess its feasibility. Considering these recent demands, we aimed to optimize a highly sensitive molecular system based on the rearranged immunoglobulin (Ig) genes to monitor MRD from peripheral blood. We analyzed a small group of myeloma patients with the high-risk t(4;14) translocation, using next-generation sequencing of Ig genes and droplet digital PCR of patient-specific Ig heavy chain (IgH) sequences. Moreover, well established monitoring methods such as multiparametric flow cytometry and RT-qPCR of the fusion transcript IgH::MMSET (IgH and multiple myeloma SET domain-containing protein) were utilized to evaluate the feasibility of these novel molecular tools. Serum measurements of M-protein and free light chains together with the clinical assessment by the treating physician served as routine clinical data. We found significant correlation between our molecular data and clinical parameters, using Spearman correlations. While the comparisons of the Ig-based methods and the other monitoring methods (flow cytometry, qPCR) were not statistically evaluable, we found common trends in their target detection. Regarding longitudinal disease monitoring, the applied methods yielded complementary information thus increasing the reliability of MRD evaluation. We also detected indications of early relapse before clinical signs, although this implication needs further verification in a larger patient cohort.

Indexed as

Genes, ImmunoglobulinMultiple MyelomaFeasibility StudiesHumansImmunoglobulin Heavy ChainsNeoplasm, ResidualReproducibility of ResultsTranslocation, GeneticImmunoglobulin Heavy Chains

Identifiers

PMID37235573
PMCPMC10218758
OpenAlexW4378470386

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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.