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Passenger Hotspot Mutations in Cancer.
Hess, Julian M; Bernards, Andre; Kim, Jaegil; Miller, Mendy; Taylor-Weiner, Amaro; Haradhvala, Nicholas J; Lawrence, Michael S; Getz, Gad.
Afiliación
  • Hess JM; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Bernards A; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, 250 Longwood Avenue, Boston, MA 02115, USA.
  • Kim J; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Miller M; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Taylor-Weiner A; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Haradhvala NJ; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Lawrence MS; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, 250 Longwood Avenue, Boston, MA 02115, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Ele
  • Getz G; The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, 250 Longwood Avenue, Boston, MA 02115, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Ele
Cancer Cell ; 36(3): 288-301.e14, 2019 09 16.
Article en En | MEDLINE | ID: mdl-31526759
ABSTRACT
Current statistical models for assessing hotspot significance do not properly account for variation in site-specific mutability, thereby yielding many false-positives. We thus (i) detail a Log-normal-Poisson (LNP) background model that accounts for this variability in a manner consistent with models of mutagenesis; (ii) use it to show that passenger hotspots arise from all common mutational processes; and (iii) apply it to a ∼10,000-patient cohort to nominate driver hotspots with far fewer false-positives compared with conventional methods. Overall, we show that many cancer hotspot mutations recurring at the same genomic site across multiple tumors are actually passenger events, recurring at inherently mutable genomic sites under no positive selection.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mutagénesis / Genómica / Carcinogénesis / Modelos Genéticos / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cancer Cell Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mutagénesis / Genómica / Carcinogénesis / Modelos Genéticos / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cancer Cell Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos