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Updated: Aug 24, 2025

Characterizing Mutational Load and Clonal Composition of Human Blood
Published on: July 11, 2019
Single-cell genomic variation induced by mutational processes in cancer.
Tyler Funnell1,2, Ciara H O'Flanagan3, Marc J Williams4
1Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.
Cell-to-cell copy number alterations drive cancer evolution by creating genomic and phenotypic variation. This study reveals three distinct structural variation patterns influencing cancer cell diversity and outcomes in breast and ovarian cancers.
Area of Science:
- Genomics
- Cancer Biology
- Evolutionary Biology
Background:
- Genomic instability is a hallmark of cancer, contributing to tumor evolution.
- Cell-to-cell copy number alterations (CNAs) are key drivers of genomic instability.
- The impact of CNAs on cancer evolution and variation remains understudied.
Purpose of the Study:
- To investigate how cell-to-cell CNAs drive genomic and phenotypic variation in cancer.
- To identify specific mutational patterns associated with structural variation.
- To understand the evolutionary consequences of these variations in triple-negative breast cancer (TNBC) and high-grade serous ovarian cancer (HGSC).
Main Methods:
- Scaled single-cell whole-genome sequencing of 13,818 mammary epithelial cell genomes and 22,057 primary TNBC and HGSC genomes.
- Analysis of TP53-deficient and BRCA1/BRCA2-deficient cell lines.
- Identification and characterization of distinct structural variation patterns.
Main Results:
- Three distinct 'foreground' mutational patterns defined by cell-to-cell structural variation were identified.
- Clone-specific high-level amplifications, parallel haplotype-specific CNAs, and serrate structural variations were observed.
- These variations were linked to phenotypic and evolutionary consequences, including increased phenotypic variation and phylogenetic diversity.
Conclusions:
- Cell-to-cell structural variation significantly contributes to the origins of phenotypic and evolutionary diversity in TNBC and HGSC.
- Specific CNA patterns provide insights into the genomic and mutational states of individual cancer cells.
- Understanding these mechanisms is crucial for comprehending cancer evolution and developing targeted therapies.
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