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Neutral tumor evolution in myeloma is associated with poor prognosis.
Johnson, David C; Lenive, Oleg; Mitchell, Jonathan; Jackson, Graham; Owen, Roger; Drayson, Mark; Cook, Gordon; Jones, John R; Pawlyn, Charlotte; Davies, Faith E; Walker, Brian A; Wardell, Christopher; Gregory, Walter M; Cairns, David; Morgan, Gareth J; Houlston, Richard S; Kaiser, Martin F.
Afiliação
  • Johnson DC; Division of Molecular Pathology and.
  • Lenive O; Division of Molecular Pathology and.
  • Mitchell J; Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, United Kingdom.
  • Jackson G; Department of Haematology, Newcastle University, Newcastle, United Kingdom.
  • Owen R; St James's University Hospital, Leeds, United Kingdom.
  • Drayson M; Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom.
  • Cook G; Department of Haematology, St James's University Hospital, Leeds, United Kingdom.
  • Jones JR; Division of Molecular Pathology and.
  • Pawlyn C; Division of Molecular Pathology and.
  • Davies FE; Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
  • Walker BA; Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
  • Wardell C; Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
  • Gregory WM; Clinical Trial Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom.
  • Cairns D; Clinical Trial Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom.
  • Morgan GJ; Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
  • Houlston RS; Division of Molecular Pathology and.
  • Kaiser MF; Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, United Kingdom.
Blood ; 130(14): 1639-1643, 2017 10 05.
Article em En | MEDLINE | ID: mdl-28827410
ABSTRACT
Recent studies suggest that the evolutionary history of a cancer is important in forecasting clinical outlook. To gain insight into the clonal dynamics of multiple myeloma (MM) and its possible influence on patient outcomes, we analyzed whole exome sequencing tumor data for 333 patients from Myeloma XI, a UK phase 3 trial and 434 patients from the CoMMpass study, all of which had received immunomodulatory drug (IMiD) therapy. By analyzing mutant allele frequency distributions in tumors, we found that 17% to 20% of MM is under neutral evolutionary dynamics. These tumors are associated with poorer patient survival in nonintensively treated patients, which is consistent with the reduced therapeutic efficacy of microenvironment-modulating IMiDs. Our findings provide evidence that knowledge of the evolutionary history of MM has relevance for predicting patient outcomes and personalizing therapy.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Talidomida / Frequência do Gene / Fatores Imunológicos / Mieloma Múltiplo / Mutação Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Talidomida / Frequência do Gene / Fatores Imunológicos / Mieloma Múltiplo / Mutação Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article