Your browser doesn't support javascript.
loading
Statistical tests for intra-tumour clonal co-occurrence and exclusivity.
Kuipers, Jack; Moore, Ariane L; Jahn, Katharina; Schraml, Peter; Wang, Feng; Morita, Kiyomi; Futreal, P Andrew; Takahashi, Koichi; Beisel, Christian; Moch, Holger; Beerenwinkel, Niko.
Afiliação
  • Kuipers J; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Moore AL; SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Jahn K; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Schraml P; SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Wang F; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Morita K; SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Futreal PA; Department of Pathology and Molecular Pathology, University and University Hospital Zurich, Zurich, Switzerland.
  • Takahashi K; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Beisel C; Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Moch H; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Beerenwinkel N; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
PLoS Comput Biol ; 17(12): e1009036, 2021 12.
Article em En | MEDLINE | ID: mdl-34910733
ABSTRACT
Tumour progression is an evolutionary process in which different clones evolve over time, leading to intra-tumour heterogeneity. Interactions between clones can affect tumour evolution and hence disease progression and treatment outcome. Intra-tumoural pairs of mutations that are overrepresented in a co-occurring or clonally exclusive fashion over a cohort of patient samples may be suggestive of a synergistic effect between the different clones carrying these mutations. We therefore developed a novel statistical testing framework, called GeneAccord, to identify such gene pairs that are altered in distinct subclones of the same tumour. We analysed our framework for calibration and power. By comparing its performance to baseline methods, we demonstrate that to control type I errors, it is essential to account for the evolutionary dependencies among clones. In applying GeneAccord to the single-cell sequencing of a cohort of 123 acute myeloid leukaemia patients, we find 1 clonally co-occurring and 8 clonally exclusive gene pairs. The clonally exclusive pairs mostly involve genes of the key signalling pathways.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Biologia Computacional Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Biologia Computacional Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça