Inferring clonal composition from multiple tumor biopsies
Matteo Manica, Hyunjae Ryan Kim, Roland Mathis, Philippe Chouvarine,, Dorothea Rutishauser, Laura De Vargas Roditi, Bence Szalai, Ulrich Wagner,, Kathrin Oehl, Karim Saba, Arati Pati, Julio Saez-Rodriguez, Angshumoy Roy,, Donald W. Parsons, Peter J. Wild
TL;DR
This paper presents a method for inferring the clonal composition of tumors by analyzing multiple biopsies, emphasizing the importance of accounting for copy number alterations to improve mutation and phylogeny estimates.
Contribution
It introduces a novel approach that explicitly models copy number alterations to enhance the accuracy of tumor clonal inference from multiple biopsies.
Findings
Improved mutation frequency estimation accuracy
Enhanced phylogeny reconstruction
More precise subclone characterization
Abstract
Explicit accounting for copy number alterations can dramatically improve mutation frequency estimates, leading to more accurate phylogeny reconstructions and subclone characterizations.
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