Statistical tests for intra-tumour clonal co-occurrence and exclusivity.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
28
04
2021
accepted:
19
11
2021
revised:
29
12
2021
pubmed:
16
12
2021
medline:
15
2
2022
entrez:
15
12
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34910733
doi: 10.1371/journal.pcbi.1009036
pii: PCOMPBIOL-D-21-00775
pmc: PMC8716063
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1009036Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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