Evidence map›Paper›PMID 40991836›Full record

ArticleBlood2026

High-risk genomic consensus validation for patients with newly diagnosed multiple myeloma using next-generation sequencing.

Anaïs Schavgoulidze, Aurore Perrot, Xavier Leleu, Titouan Cazaubiel, Marie-Lorraine Chretien, Pierre Feugier, Karim Belhadj, Salomon Manier, Murielle Roussel, Sabine Brechignac and 31 more

Abstract readValidation Study
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

41 authors.

Anaïs SchavgoulidzeUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0002-5526-4279
Aurore PerrotHematology Department, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0003-0131-8689
Xavier LeleuDepartment of Hematology, Centre Hospitalo-Universitaire de Poitiers, Poitiers, France.ORCID 0000-0002-9822-4170
Titouan CazaubielDepartment of Hematology, Centre Hospitalo-Universitaire de Bordeaux, Bordeaux, France.
Marie-Lorraine ChretienDepartment of Hematology, Centre Hospitalo-Universitaire de Dijon, Dijon, France.
Pierre FeugierDepartment of Hematology, Centre Hospitalo-Universitaire de Nancy, Nancy, France.
Karim BelhadjDepartment of Hematology, Créteil Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Salomon ManierDepartment of Hematology, Centre Hospitalo-Universitaire de Lille, Lille, France.ORCID 0000-0001-7653-711X
Murielle RousselDepartment of Hematology, Centre Hospitalo-Universitaire de Limoges, Limoges, France.ORCID 0000-0002-4045-9428
Sabine BrechignacDepartment of Hematology, Bobigny Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Frédérique Orsini-PiocelleDepartment of Hematology, Centre Hospitalier Annecy Genevois, Epagny Metz-Tessy, France.
Mohamad MohtyDepartment of Hematology, Saint-Antoine Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.ORCID 0000-0002-7264-808X
Jean-Marc Schiano de CollelaDepartment of Hematology, Institut Paoli-Calmettes, Marseille, France.ORCID 0000-0001-9923-4808
Margaret MacroDepartment of Hematology, Centre Hospitalo-Universitaire de Caen, Caen, France.
Didier AdikoDepartment of Hematology, Centre Hospitalier Libourne, Libourne, France.
Mamoun DibDepartment of Hematology, Centre Hospitalo-Universitaire de Angers, Angers, France.
Jean FontanDepartment of Hematology, Centre Hospitalier Besançon, Besançon, France.
Carine Luttiau-MotardDepartment of Hematology, Centre Hospitalier Niort, Niort, France.
Didier BouscaryDepartment of Hematology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Laurent PascalDepartment of Hematology, Centre Hospitalier Saint-Vincent, Lille, France.ORCID 0000-0001-7792-3768
Virginie RolandDepartment of Hematology, Centre Hospitalier Perpignan, Perpignan, France.
François LifermannDepartment of Hematology, Centre Hospitalier Dax, Dax, France.ORCID 0000-0002-7080-3170
Jana BakalaDepartment of Hematology, Centre Hospitalier Lens, Lens, France.
Lydia MontesDepartment of Hematology, Centre Hospitalo-Universitaire de Amiens, Amiens, France.
Céline KennelDepartment of Hematology, Centre Hospitalier Chalon, Chalon-sur-Saône, France.
Philippe ReyDepartment of Hematology, Centre Léon Bérard, Lyon, France.
Valentine RichezDépartement de Hématologie, Centre Hospitalo-Universitaire de Nice, Nice, France.
Faiza KeddarDépartement de Hématologie, Centre Hospitalier Valenciennes, Valenciennes, France.
Laurent FrenzelDepartment of Hematology, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.ORCID 0000-0002-6085-2163
Claire CalmettesDepartment of Hematology, Centre Hospitalier Périgueux, Périgueux, France.
Carine ChaleteixDepartment of Hematology, Centre Hospitalo-Universitaire de Clermont-Ferrand, Clermont-Ferrand, France.
Isabelle PlantierDepartment of Hematology, Centre Hospitalier Roubaix, Roubaix, France.
Emilie ChalayerDepartment of Hematology, Centre Hospitalo-Universitaire de Saint-Etienne, Saint-Etienne, France.
Anna SchmittDepartment of Hematology, Institut Bergonié Bordeaux, Bordeaux, France.ORCID 0000-0002-6303-3294
Christophe RoulDepartment of Hematology, Centre Hospitalier La Rochelle, La Rochelle, France.
Hélène DemarquetteDepartment of Hematology, Centre Hospitalier Dunkerque, Dunkerque, France.
Chloe CeruttiUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0002-3207-3461
Luka PavageauUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Laure DerrierUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Hervé Avet-LoiseauUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Jill CorreUnit for Genomics in Myeloma, University Hospital, University of Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0003-1580-6106

Funding

Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Nikhil C. Munshi · 2011 to 2026
$32.5M
NCI NIH HHS P01 CA155258
6 · The paper itself

Abstract

abstractThe prognostic heterogeneity of multiple myeloma is mainly driven by the genomic features of myeloma cells. The International Myeloma Society (IMS)/International Myeloma Working Group (IMWG) recently proposed a high-risk (HR) genomic model to have a consensus definition of genomic risk. We performed next-generation sequencing in the form of a panel on samples from 6528 patients with newly diagnosed multiple myeloma (NDMM) and 1583 patients at first relapse between 2019 and 2024. We observed that 22.4% of patients at diagnosis and 36.7% of patients at first relapse were classified as high risk according to the Consensus Genomic Staging. Clinical data were available for 2695 patients at diagnosis. After a median follow-up of 35 months, the median progression-free survival (PFS) was 30 months for patients with HR NDMM and 51 months for standard-risk (SR) patients (P< .0001). The HR cytogenetic criteria from the Revised- International Staging System score were not able to differentiate between HR and SR patients based on the IMS/IMWG genomic subgroups. Looking at each criterion independently, we found that the presence of del(17p), TP53 mutation, biallelic del(1p32), or the combination of intermediate-risk cytogenetics (gain 1q, del(1p32), t(4;14), t(14;16), t(14;20)) significantly reduced the PFS when compared with SR patients. Moreover, patients with several cumulating criteria had an even worse prognosis. Among SR patients, classified according to the genomic definition with normal creatinine, the median PFS for those with high β2-microglobulin was not significantly different from that of patients with normal β2-microglobulin level. This study validated the IMS/IMWG genomic definition of HR myeloma in a large cohort of patients diagnosed from 2019 onwards.

Indexed as

High-Throughput Nucleotide SequencingMultiple MyelomaAdultAgedAged, 80 and overConsensus Statements as TopicFemaleGenomicsHumansMaleMiddle AgedMutationPrognosis

Identifiers

PMID40991836
PMCPMC13292120

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