Evidence map›Paper›PMID 32759358›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2021

Designing Evolutionary-based Interception Strategies to Block the Transition from Precursor Phases to Multiple Myeloma.

Francesco Maura, Ola Landgren, Gareth J Morgan

Abstract readReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Genomics Define Malignant Transformation in Myeloma Precursor Conditions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Chromothripsis as a pathogenic driver of multiple myeloma.Seminars in cell & developmental biology · 2022
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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, New York, New York. mauraf@mskcc.org Gareth.Morgan@nyulangone.org Landgrec@mskcc.org.
Ola LandgrenMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. mauraf@mskcc.org Gareth.Morgan@nyulangone.org Landgrec@mskcc.org.
Gareth J MorganPerlmutter Cancer Center, New York University Langone Health, New York, New York. mauraf@mskcc.org Gareth.Morgan@nyulangone.org Landgrec@mskcc.org.ORCID 0000-0002-4271-6360

Funding

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

Abstract

The development of next-generation sequencing technology has dramatically improved our understanding of the genetic landscape of multiple myeloma. Several new drivers and recurrent events have been reported and linked to a potential driver role. This complex landscape is enhanced by intraclonal mutational heterogeneity and variability introduced through the dimensions of time and space. The evolutionary history of multiple myeloma is driven by both the accumulation of different genomic drivers and by the activity of different mutational processes active overtime. In this review, we describe how these new findings and sequencing technologies have been progressively allowed to understand and reshape our knowledge of the complexity of multiple myeloma at each of its developmental stages: premalignant, at diagnosis, and in relapsed/refractory states. We discuss how these evolutionary concepts can be utilized in the clinic to alter evolutionary trajectories providing a framework for therapeutic intervention at early-disease stages.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCytogenetic AnalysisDisease ProgressionDNA Mutational AnalysisHigh-Throughput Nucleotide SequencingHumansMedical OncologyMultiple MyelomaMutationPrecancerous ConditionsPrecision Medicine

Identifiers

PMID32759358
PMCPMC7785564

What OpenQuestion holds

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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.