Your browser doesn't support javascript.
loading
A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications.
Wright, George W; Huang, Da Wei; Phelan, James D; Coulibaly, Zana A; Roulland, Sandrine; Young, Ryan M; Wang, James Q; Schmitz, Roland; Morin, Ryan D; Tang, Jeffrey; Jiang, Aixiang; Bagaev, Aleksander; Plotnikova, Olga; Kotlov, Nikita; Johnson, Calvin A; Wilson, Wyndham H; Scott, David W; Staudt, Louis M.
  • Wright GW; Biometric Research Branch, Division of Cancer Diagnosis and Treatment, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Huang DW; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Phelan JD; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Coulibaly ZA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Roulland S; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Young RM; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Wang JQ; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Schmitz R; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Morin RD; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
  • Tang J; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
  • Jiang A; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
  • Bagaev A; BostonGene, Waltham, MA 02453, USA.
  • Plotnikova O; BostonGene, Waltham, MA 02453, USA.
  • Kotlov N; BostonGene, Waltham, MA 02453, USA.
  • Johnson CA; Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA.
  • Wilson WH; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Scott DW; British Columbia Cancer, Vancouver, BC V5Z 4E6, Canada.
  • Staudt LM; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: lstaudt@mail.nih.gov.
Cancer Cell ; 37(4): 551-568.e14, 2020 04 13.
Article en En | MEDLINE | ID: mdl-32289277
ABSTRACT
The development of precision medicine approaches for diffuse large B cell lymphoma (DLBCL) is confounded by its pronounced genetic, phenotypic, and clinical heterogeneity. Recent multiplatform genomic studies revealed the existence of genetic subtypes of DLBCL using clustering methodologies. Here, we describe an algorithm that determines the probability that a patient's lymphoma belongs to one of seven genetic subtypes based on its genetic features. This classification reveals genetic similarities between these DLBCL subtypes and various indolent and extranodal lymphoma types, suggesting a shared pathogenesis. These genetic subtypes also have distinct gene expression profiles, immune microenvironments, and outcomes following immunochemotherapy. Functional analysis of genetic subtype models highlights distinct vulnerabilities to targeted therapy, supporting the use of this classification in precision medicine trials.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Linfoma de Células B Grandes Difuso / Heterogeneidad Genética / Terapia Molecular Dirigida Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Linfoma de Células B Grandes Difuso / Heterogeneidad Genética / Terapia Molecular Dirigida Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Año: 2020 Tipo del documento: Article