ReviewBlood2026
Evolution of multiple myeloma from a genomic perspective.
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.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Effects of immunosuppressive and biological drugs in patients with asymptomatic monoclonal gammopathies (MGUS or smoldering myeloma) and concomitant autoimmune disorders: Results from the real-life MUSA study.British journal of haematology · 2026Article
- Genetic architecture of multiple myeloma: From somatic alterations to germline susceptibility and clinical implications.Translational oncology · 2026Review
- Beyond exhaustion: T cell fitness for next generation of immunotherapy for hematological cancer.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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Registered trials
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.