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

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 genet...

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Autores principales: Manojlovic, Zarko, Christofferson, Austin, Liang, Winnie S., Aldrich, Jessica, Washington, Megan, Wong, Shukmei, Rohrer, Daniel, Jewell, Scott, Kittles, Rick A., Derome, Mary, Auclair, Daniel, Craig, David Wesley, Keats, Jonathan, Carpten, John D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699827/
https://www.ncbi.nlm.nih.gov/pubmed/29166413
http://dx.doi.org/10.1371/journal.pgen.1007087
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author Manojlovic, Zarko
Christofferson, Austin
Liang, Winnie S.
Aldrich, Jessica
Washington, Megan
Wong, Shukmei
Rohrer, Daniel
Jewell, Scott
Kittles, Rick A.
Derome, Mary
Auclair, Daniel
Craig, David Wesley
Keats, Jonathan
Carpten, John D.
author_facet Manojlovic, Zarko
Christofferson, Austin
Liang, Winnie S.
Aldrich, Jessica
Washington, Megan
Wong, Shukmei
Rohrer, Daniel
Jewell, Scott
Kittles, Rick A.
Derome, Mary
Auclair, Daniel
Craig, David Wesley
Keats, Jonathan
Carpten, John D.
author_sort Manojlovic, Zarko
collection PubMed
description 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.
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spelling pubmed-56998272017-12-08 Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases Manojlovic, Zarko Christofferson, Austin Liang, Winnie S. Aldrich, Jessica Washington, Megan Wong, Shukmei Rohrer, Daniel Jewell, Scott Kittles, Rick A. Derome, Mary Auclair, Daniel Craig, David Wesley Keats, Jonathan Carpten, John D. PLoS Genet Research Article 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. Public Library of Science 2017-11-22 /pmc/articles/PMC5699827/ /pubmed/29166413 http://dx.doi.org/10.1371/journal.pgen.1007087 Text en © 2017 Manojlovic et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Manojlovic, Zarko
Christofferson, Austin
Liang, Winnie S.
Aldrich, Jessica
Washington, Megan
Wong, Shukmei
Rohrer, Daniel
Jewell, Scott
Kittles, Rick A.
Derome, Mary
Auclair, Daniel
Craig, David Wesley
Keats, Jonathan
Carpten, John D.
Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title_full Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title_fullStr Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title_full_unstemmed Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title_short Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases
title_sort comprehensive molecular profiling of 718 multiple myelomas reveals significant differences in mutation frequencies between african and european descent cases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699827/
https://www.ncbi.nlm.nih.gov/pubmed/29166413
http://dx.doi.org/10.1371/journal.pgen.1007087
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