Evidence map›Paper›PMID 33057009›Full record

Trial reportBlood cancer journal2020

An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics.

Phuc H Hoang, Alex J Cornish, Amy L Sherborne, Daniel Chubb, Scott Kimber, Graham Jackson, Gareth J Morgan, Gordon Cook, Ben Kinnersley, Martin Kaiser and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Blood cancer journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Phuc H HoangDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID 0000-0002-9265-8525
Alex J CornishDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID 0000-0002-3966-3501
Amy L SherborneDivision of Molecular Pathology, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID 0000-0002-9717-4773
Daniel ChubbDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.
Scott KimberDivision of Molecular Pathology, The Institute of Cancer Research, London, SM2 5NG, UK.
Graham JacksonDepartment of Haematology, University of Newcastle, Newcastle Upon Tyne, UK.
Gareth J MorganPerlmutter Cancer Center, NYU Langone Health, New York, USA.
Gordon CookLeeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.ORCID 0000-0003-1717-0412
Ben KinnersleyDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID 0000-0003-1783-6296
Martin KaiserDivision of Molecular Pathology, The Institute of Cancer Research, London, SM2 5NG, UK. Martin.Kaiser@icr.ac.uk.ORCID 0000-0002-3677-4804
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK. Richard.Houlston@icr.ac.uk.ORCID 0000-0002-5268-0242
Institute of Cancer Research · GBNewcastle University · GBNYU Langone Health · USUniversity of Leeds · GB

Funding

Cancer Research UK 25447
6 · The paper itself

Abstract

Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 IGH-translocated tumour-normal newly diagnosed pairs and 24 matched relapsed tumours from the Myeloma XI trial. We identify multiple events as potentially important for survival and therapy-resistance at relapse including driver point mutations (e.g., TET2), translocations (MAP3K14), lengthened telomeres, and increased genomic instability (e.g., 17p deletions). Despite heterogeneous mutational processes contributing to relapsed mutations across MM subtypes, increased AID/APOBEC activity is particularly associated with shorter progression time to relapse, and contributes to higher mutational burden at relapse. In addition, we identify three enhanced major clonal evolution patterns of MM relapse, independent of treatment strategies and molecular karyotypes, questioning the viability of "evolutionary herding" approach in treating drug-resistant MM. Our data show that MM relapse is associated with acquisition of new mutations and clonal selection, and suggest APOBEC enzymes among potential targets for therapy-resistant MM.

Indexed as

Chromosome DeletionModels, GeneticPoint MutationTranslocation, GeneticAdultAgedAged, 80 and overChromosomes, Human, Pair 17FemaleHumansMaleMiddle AgedMultiple MyelomaNeoplasm ProteinsRecurrenceNeoplasm Proteins

Identifiers

PMID33057009
PMCPMC7560599
OpenAlexW3093468667

What OpenQuestion holds

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LicenceCC BY
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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.