Evidence map›Paper›PMID 42078091›Full record

ReviewBlood and lymphatic cancer : targets and therapy2026

Defining High-Risk Disease Biology in Multiple Myeloma: A Narrative Review.

Mohammad Aljumaa, Hasan Hamam Refai, Yogesh Chawla, Wilson I Gonsalves

Abstract readReview
In one paragraph

Review in Blood and lymphatic cancer : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mohammad AljumaaDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Hasan Hamam RefaiDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Yogesh ChawlaDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6679-518X
Wilson I GonsalvesDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6890-969X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although modern therapies have significantly improved survival, multiple myeloma (MM) remains incurable and biologically heterogeneous, resulting in substantial variability in treatment response and outcomes. Effective risk stratification is therefore critical to guide therapy intensity, predict relapses, and inform prognosis. This review critically examines the current biological determinants of high-risk MM and their implications for treatment intensification, selection of novel therapeutic agents, and stratified clinical trial enrollment. High-risk MM is driven by three major biological determinants: (1) molecular and genomic abnormalities, including high-risk IgH translocations, del(17p), TP53 mutation, gain(1q), and high-risk gene expression signatures; (2) increased proliferative capacity, with an elevated plasma-cell S-phase fraction identifying a subgroup with markedly inferior survival independent of conventional staging; and (3) extramedullary dissemination biology, reflected by circulating tumor cells and soft-tissue extramedullary disease, both associated with marrow independence, clonal evolution, and poor outcomes. The 2024 IMS/IMWG framework integrates the genomic aspects of these biological markers and certain clinical factors into a more precisely defined disease. Complementing baseline classification, dynamic risk stratification using measurable residual disease (MRD) provides real-time prognostic refinement across the treatment course. Future advances will rely on comprehensive molecular profiling and AI-driven data integration to enable precision-guided treatment based on individualized disease biology.

Indexed as

high-risk diseasemultiple myelomaoutcomes

Identifiers

PMID42078091
PMCPMC13134554

What OpenQuestion holds

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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.