Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution

Soyeon Ahn; Haiyan Huang

doi:10.1007/978-1-0716-1103-6_14

Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution

Methods Mol Biol. 2021:2243:283-296. doi: 10.1007/978-1-0716-1103-6_14.

Authors

Soyeon Ahn¹, Haiyan Huang^{2

3}

Affiliations

¹ Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
² Department of Statistics, University of California, Berkeley, CA, USA. hyh0110@berkeley.edu.
³ Center for Computational Biology, University of California, Berkeley, CA, USA. hyh0110@berkeley.edu.

PMID: 33606263
DOI: 10.1007/978-1-0716-1103-6_14

Abstract

Multiregion sequencing can advance our understanding of the intratumor heterogeneity and the clonal evolution. Here, we introduced multiple aspects of multiregion sequencing and its analysis, including the study design and sampling strategy, current understanding of the tumor evolution model, and a protocol for multiregion sequencing analysis of DNA-sequencing data.

Keywords: Clonal evolution; Clone ordering; Heterogeneity; Multiregional sequencing; Phylogenetic tree.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Clonal Evolution / genetics*
Cross-Sectional Studies
Exome / genetics
Genetic Heterogeneity
Humans
Mutation / genetics
Neoplasms / genetics*
Sequence Analysis, DNA / methods*