Evidence map›Paper›PMID 32139011›Full record

ReviewBest practice & research. Clinical haematology2020

Reconstructing the evolutionary history of multiple myeloma.

Francesco Maura, Even H Rustad, Eileen M Boyle, Gareth J Morgan

Abstract readReview
In one paragraph

Review in Best practice & research. Clinical haematology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  11. LAMP5 may promote MM progression by activating p38.Pathology oncology research : POR · 2023
    Article
  12. Review
  13. Chromothripsis as a pathogenic driver of multiple myeloma.Seminars in cell & developmental biology · 2022
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
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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.

Francesco MauraMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: mauraf@mskcc.org.
Even H RustadMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eileen M BoyleNYU Langone, Perlmutter Cancer Center, New York, NY, USA.
Gareth J MorganNYU Langone, Perlmutter Cancer Center, New York, NY, USA. Electronic address: gareth.morgan@nyulangone.org.

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

Multiple myeloma is the second most common lymphoproliferative disorder, characterized by aberrant expansion of monoclonal plasma cells. In the last years, thanks to novel next generation sequencing technologies, multiple myeloma has emerged as one of the most complex hematological cancers, shaped over time by the activity of multiple mutational processes and by the acquisition of key driver events. In this review, we describe how whole genome sequencing is emerging as a key technology to decipher this complexity at every stage of myeloma development: precursors, diagnosis and relapsed/refractory. Defining the time windows when driver events are acquired improves our understanding of cancer etiology and paves the way for early diagnosis and ultimately prevention.

Indexed as

ChromothripsisEvolution, MolecularGenome, HumanMutationAneuploidyAntineoplastic Combined Chemotherapy ProtocolsHigh-Throughput Nucleotide SequencingHumansMultiple MyelomaNeoplasm, ResidualPlasma CellsRecurrenceSurvival AnalysisTime FactorsWhole Genome SequencingDriver eventsMultiple myelomaTimingWhole genome sequencing

Identifiers

PMID32139011
PMCPMC7389821

What OpenQuestion holds

Textmetadata
LicenceTDM
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.