Evidence map›Paper›PMID 29166413›Full record

ArticlePLoS genetics2017

Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases.

Zarko Manojlovic, Austin Christofferson, Winnie S Liang, Jessica Aldrich, Megan Washington, Shukmei Wong, Daniel Rohrer, Scott Jewell, Rick A Kittles, Mary Derome and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 86 citations in OpenAlex.

  1. Race-Dependent Differences in Risk, Genomics, and Epstein-Barr Virus Exposure in Monoclonal Gammopathies: Results of SWOG S0120.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
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  9. Asymptomatic Incidence of Monoclonal Gammopathy of Undetermined Significance and Preclinical Duration to Myeloma Diagnosis: A Modeling Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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  14. Multiomic Mapping of Acquired Chromosome 1 Copy-Number and Structural Variants to Identify Therapeutic Vulnerabilities in Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  15. Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Partnering With All Patients: Ensuring Shared Decision Making and Evidence-Based Management for Underrepresented Groups With Multiple Myeloma.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2023
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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

14 authors at 5 institutions in 1 country.

Zarko ManojlovicDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.ORCID http://orcid.org/0000-0001-9705-4088
Austin ChristoffersonTranslational Genomics Research Institute, Phoenix, AZ, United States of America.
Winnie S LiangTranslational Genomics Research Institute, Phoenix, AZ, United States of America.ORCID http://orcid.org/0000-0002-5698-7735
Jessica AldrichTranslational Genomics Research Institute, Phoenix, AZ, United States of America.
Megan WashingtonTranslational Genomics Research Institute, Phoenix, AZ, United States of America.ORCID http://orcid.org/0000-0002-7359-0182
Shukmei WongTranslational Genomics Research Institute, Phoenix, AZ, United States of America.ORCID http://orcid.org/0000-0002-8551-2835
Daniel RohrerVan Andel Research Institute, Grand Rapids, MI, United States of America.ORCID http://orcid.org/0000-0002-1784-9196
Scott JewellVan Andel Research Institute, Grand Rapids, MI, United States of America.
Rick A KittlesDepartment of Surgery, Division of Population Genetics, University of Arizona, Tuscon, AZ, United States of America.
Mary DeromeMultiple Myeloma Research Foundation, Norwalk, CT, United States of America.
Daniel AuclairMultiple Myeloma Research Foundation, Norwalk, CT, United States of America.ORCID http://orcid.org/0000-0001-5151-3058
David Wesley CraigDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Jonathan KeatsTranslational Genomics Research Institute, Phoenix, AZ, United States of America.ORCID http://orcid.org/0000-0003-4375-7399
John D CarptenDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Translational Genomics Research Institute · USUniversity of Southern California · USMultiple Myeloma Research Foundation · USVan Andel Institute · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) is a plasma cell malignancy with significantly greater incidence and mortality rates among African Americans (AA) compared to Caucasians (CA). The overall goal of this study is to elucidate differences in molecular alterations in MM as a function of self-reported race and genetic ancestry. Our study utilized somatic whole exome, RNA-sequencing, and correlated clinical data from 718 MM patients from the Multiple Myeloma Research Foundation CoMMpass study Interim Analysis 9. Somatic mutational analyses based upon self-reported race corrected for ancestry revealed significant differences in mutation frequency between groups. Of interest, BCL7A, BRWD3, and AUTS2 demonstrate significantly higher mutation frequencies among AA cases. These genes are all involved in translocations in B-cell malignancies. Moreover, we detected a significant difference in mutation frequency of TP53 and IRF4 with frequencies higher among CA cases. Our study provides rationale for interrogating diverse tumor cohorts to best understand tumor genomics across populations.

Indexed as

AdultBlack or African AmericanBlack PeopleBromodomain Containing ProteinsCytoskeletal ProteinsExomeFemaleGenotypeHigh-Throughput Nucleotide SequencingHumansInterferon Regulatory Factor-4Interferon Regulatory FactorsMaleMicrofilament ProteinsMiddle AgedMultiple MyelomaAUTS2 protein, humanBCL7A protein, humanBromodomain Containing ProteinsBRWD3 protein, humanCytoskeletal ProteinsInterferon Regulatory Factor-4Interferon Regulatory FactorsMicrofilament ProteinsOncogene ProteinsProteinsTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53

Identifiers

PMID29166413
PMCPMC5699827
OpenAlexW2768869002

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.