Evidence map›Paper›PMID 41359792›Full record

ReviewBlood2026

Evolution of multiple myeloma from a genomic perspective.

Francesco Maura, Mehmet Samur, Nikhil Munshi

Abstract readReview
In one paragraph

Review in Blood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Francesco MauraMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, NY.ORCID 0000-0002-5017-1620
Mehmet SamurDepartment of Data Science, Dana-Farber Cancer Institute, Boston.
Nikhil MunshiVA Boston Healthcare System, Boston, MA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Nikhil C. Munshi · 2011 to 2026
$32.5M
Myeloma Defining Genomic Events to Differentiate Benign and Malignant Myeloma Precursor ConditionsR37CA289752 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Francesco Maura, Andrew William Mcpherson · 2025 to 2026
$1.4M
NCI NIH HHS P01 CA155258NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA289752
6 · The paper itself

Abstract

abstractIn this review, we explore the role of complex interactions between genomic evolution, environmental and genetic predispositions, and immune surveillance in disease progression from precursor conditions smoldering multiple myeloma and monoclonal gammopathy of undetermined significance to multiple myeloma (MM). MM has been described to be universally preceded by precursor states, often decades before it is even diagnosed. Genetic predisposition plays an important role in the initial transformation, and is driven by both germline variants and MM-specific loci influencing risk. The reported disparities in occurrence of precursor conditions and MM among racial groups highlights the role of predisposition and the need for broader cohort studies. Early genomic events, such as translocations and hyperdiploidy, are essential in precursor initiation. However, additional factors are usually needed to transform the precursor stages into symptomatic disease, such as positive selection of subclonal populations. This process is affected by aging and environmental factors, such as exposures to Agent Orange and agrochemicals. Therefore, integrating genomic and transcriptomic data with immune profiling or other clinical features is essential for identifying patients with high risk of progressing into MM. Here, we highlight the complexity of myelomagenesis, and underline the importance of state-of-the-art approaches for improved disease prediction.

Indexed as

Evolution, MolecularMultiple MyelomaDisease ProgressionGenetic Predisposition to DiseaseGenomicsHumans

Identifiers

PMID41359792
PMCPMC13077438

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.