# Inferring clonal composition from multiple tumor biopsies

**Authors:** 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, Mar\'ia Rodr\'iguez Mart\'inez, Pavel, Sumazin

arXiv: 1701.07940 · 2019-11-26

## 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.

## Key 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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Source: https://tomesphere.com/paper/1701.07940