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Statistical tests for intra-tumour clonal co-occurrence and exclusivity.

Authors :
Jack Kuipers
Ariane L Moore
Katharina Jahn
Peter Schraml
Feng Wang
Kiyomi Morita
P Andrew Futreal
Koichi Takahashi
Christian Beisel
Holger Moch
Niko Beerenwinkel
Source :
PLoS Computational Biology, Vol 17, Iss 12, p e1009036 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
17
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.99cbb4fb35d4870a878164193d88cb4
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1009036