Evidence map›Paper›PMID 41701976›Full record

ArticleBlood advances2026

IMS-IMWG 2025 consensus genomic staging predicts outcomes with daratumumab-based quadruplet regimens for NDMM.

Kylee H Maclachlan, Carlyn R Tan, Tala Shekarkhand, Colin Rueda, Andriy Derkach, Hamza Hashmi, Hani Hassoun, Urvi A Shah, Malin Hultcrantz, Alexander M Lesokhin and 16 more

Abstract read
In one paragraph

Article in Blood advances, 2026. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

26 authors.

Kylee H MaclachlanMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-7873-4854
Carlyn R TanMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-7922-2594
Tala ShekarkhandMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Colin RuedaMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Andriy DerkachDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2178-8493
Hamza HashmiMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Hani HassounMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Urvi A ShahMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8419-1091
Malin HultcrantzMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9045-6495
Alexander M LesokhinMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-9321-702X
Sham MailankodyMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Francesco MauraMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5017-1620
Maximillian MerzMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Ross FirestoneMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-2945-9320
Eric M JurgensMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Kevin C MillerAdult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5534-5570
Sridevi RajeeveMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Sergio GiraltAdult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-1944-5053
Gunjan L ShahAdult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9977-0456
Michael ScordoAdult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Heather J LandauAdult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-3152-1189
Yanming ZhangDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Robert CimeraDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Maria E ArcilaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Neha KordeMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5538-4318
Saad Z UsmaniMyeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

abstractThe International Myeloma Society (IMS) and the International Myeloma Working Group (IMWG) recently published a new consensus genomic staging (CGS) for defining high-risk (HR) newly diagnosed multiple myeloma (NDMM), intended to provide consistency in clinical trial reporting and for use in designing enrichment clinical trials focused on the HR subset. The HR definition is the first to include TP53 mutations and considers the co-occurrence of immunoglobulin H translocations with chromosome 1 aberrations. Given that limited data from the anti-CD38 monoclonal antibody-based quadruplet induction regimens were available for consensus consideration, here, we demonstrate that the new HR definition also predicts clinical outcomes in this setting. The patient population comprised 503 patients with NDMM treated with daratumumab-based quadruplet induction therapy at Memorial Sloan Kettering Cancer Center, with a median follow-up time of 2.2 years (maximum, 7.9 years). The CGS criteria defined 31% of NDMM cases as HR, better delineating patients at intermediate risk by preexisting prognostic scores. The CGS did not predict early minimal residual disease (MRD) status, with MRD negativity occurring at the same rate in patients with HR and standard-risk (SR) NDMM. However, the CGS did predict progression-free survival (PFS), with a median of 2.6 years in HR compared with not reached in SR (P< .0001). CGS risk remained predictive of PFS even in the setting of MRD negativity after autologous stem cell transplantation. We conclude that although the IMS-IMWG CGS is ideal for standardizing NDMM trial design, any MRD-guided trial design should also consider genomic risk.

Indexed as

Antibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsGenomicsMultiple MyelomaFemaleHumansNeoplasm StagingPrognosisTreatment OutcomeAntibodies, Monoclonaldaratumumab

Identifiers

PMID41701976
PMCPMC13094439

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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.