Evidence map›Paper›PMID 38035078›Full record

ArticleFrontiers in immunology2023

RNA-sequencing based first choice of treatment and determination of risk in multiple myeloma.

Martina Emde-Rajaratnam, Susanne Beck, Vladimir Benes, Hans Salwender, Uta Bertsch, Christoph Scheid, Mathias Hänel, Katja Weisel, Thomas Hielscher, Marc S Raab and 10 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  4. Expression ofInternational journal of molecular sciences · 2025
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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

20 authors at 10 institutions in 3 countries.

Martina Emde-RajaratnamDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Susanne BeckDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Vladimir BenesEuropäisches Laboratorium für Molekularbiologie, GeneCore, Heidelberg, Germany.
Hans SalwenderAsklepios Tumorzentrum Hamburg, AK Altona and St. Georg, Hamburg, Germany.
Uta BertschUniversitätsklinikum Heidelberg, Medizinische Klinik V, Heidelberg, Germany.
Christoph ScheidDepartment I of Internal Medicine, University of Cologne, Cologne, Germany.
Mathias HänelDepartment of Internal Medicine III, Klinikum Chemnitz GmbH, Chemnitz, Germany.
Katja WeiselDepartment of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Thomas HielscherDeutsches Krebsforschungszentrum, Abteilung für Biostatistik, Heidelberg, Germany.
Marc S RaabUniversitätsklinikum Heidelberg, Medizinische Klinik V, Heidelberg, Germany.
Hartmut GoldschmidtUniversitätsklinikum Heidelberg, Medizinische Klinik V, Heidelberg, Germany.
Anna JauchUniversität Heidelberg, Institut für Humangenetik, Heidelberg, Germany.
Ken MaesDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Elke De BruyneDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Eline MenuDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Kim De VeirmanDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Jérôme MoreauxInstitute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France.
Karin VanderkerkenDepartment of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Anja Seckinger *Department of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Dirk Hose *Department of Hematology and Immunology, Myeloma Center Brussels & Labor für Myelomforschung, Vrije Universiteit Brussel (VUB), Jette, Belgium.
Vrije Universiteit Brussel · BEHeidelberg University · DEUniversity Hospital Heidelberg · DEAsklepios · DECentre National de la Recherche Scientifique · FREuropean Molecular Biology Laboratory · DEGerman Cancer Research Center · DEKlinikum Chemnitz · DEUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunotherapeutic targets in multiple myeloma (MM) have variable expression height and are partly expressed in subfractions of patients only. With increasing numbers of available compounds, strategies for appropriate choice of targets (combinations) are warranted. Simultaneously, risk assessment is advisable as patient's life expectancy varies between months and decades. Methods: We first assess feasibility of RNA-sequencing in a multicenter trial (GMMG-MM5, n=604 patients). Next, we use a clinical routine cohort of untreated symptomatic myeloma patients undergoing autologous stem cell transplantation (n=535, median follow-up (FU) 64 months) to perform RNA-sequencing, gene expression profiling (GEP), and iFISH by ten-probe panel on CD138-purified malignant plasma cells. We subsequently compare target expression to plasma cell precursors, MGUS (n=59), asymptomatic (n=142) and relapsed (n=69) myeloma patients, myeloma cell lines (n=26), and between longitudinal samples (MM vs. relapsed MM). Data are validated using the independent MMRF CoMMpass-cohort (n=767, FU 31 months). Results: RNA-sequencing is feasible in 90.8% of patients (GMMG-MM5). Actionable immune-oncological targets (n=19) can be divided in those expressed in all normal and >99% of MM-patients (CD38, SLAMF7, BCMA, GPRC5D, FCRH5, TACI, CD74, CD44, CD37, CD79B), those with expression loss in subfractions of MM-patients (BAFF-R [81.3%], CD19 [57.9%], CD20 [82.8%], CD22 [28.4%]), aberrantly expressed in MM (NY-ESO1/2 [12%], MUC1 [12.7%], CD30 [4.9%], mutated BRAF V600E/K [2.1%]), and resistance-conveying target-mutations e.g., against part but not all BCMA-directed treatments. Risk is assessable regarding proliferation, translated GEP- (UAMS70-, SKY92-, RS-score) and Conclusion: RNA-sequencing based assessment of risk and targets for first choice treatment is possible in clinical routine.

Indexed as

Hematopoietic Stem Cell TransplantationMultiple MyelomaB-Cell Maturation AntigenHumansRNATransplantation, AutologousB-Cell Maturation AntigenRNAimmunotherapeutic targetsmultiple myelomapersonalized treatmentproliferationrisk-adapted treatmentRNA-sequencingsurvival

Identifiers

PMID38035078
PMCPMC10684778
OpenAlexW4388705123

What OpenQuestion holds

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LicenceCC BY
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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.