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Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.

Timour BaslanJude KendallKonstantin VolyanskyyKatherine McNamaraHilary CoxSean D'ItaliaFrank AmbrosioMichael RiggsLinda RodgersAnthony LeottaJunyan SongYong MaoJie WuRonak ShahRodrigo Gularte-MéridaKalyani ChadalavadaGouri NanjangudVinay VaradanAssaf GordonChristina CurtisAlex KrasnitzNevenka DimitrovaLyndsay HarrisMichael WiglerJames Hicks
Published in: eLife (2020)
Copy number alterations (CNAs) play an important role in molding the genomes of breast cancers and have been shown to be clinically useful for prognostic and therapeutic purposes. However, our knowledge of intra-tumoral genetic heterogeneity of this important class of somatic alterations is limited. Here, using single-cell sequencing, we comprehensively map out the facets of copy number alteration heterogeneity in a cohort of breast cancer tumors. Ou/var/www/html/elife/12-05-2020/backup/r analyses reveal: genetic heterogeneity of non-tumor cells (i.e. stroma) within the tumor mass; the extent to which copy number heterogeneity impacts breast cancer genomes and the importance of both the genomic location and dosage of sub-clonal events; the pervasive nature of genetic heterogeneity of chromosomal amplifications; and the association of copy number heterogeneity with clinical and biological parameters such as polyploidy and estrogen receptor negative status. Our data highlight the power of single-cell genomics in dissecting, in its many forms, intra-tumoral genetic heterogeneity of CNAs, the magnitude with which CNA heterogeneity affects the genomes of breast cancers, and the potential importance of CNA heterogeneity in phenomena such as therapeutic resistance and disease relapse.
Keyphrases
  • copy number
  • single cell
  • mitochondrial dna
  • rna seq
  • genome wide
  • high throughput
  • dna methylation
  • estrogen receptor
  • gene expression
  • young adults
  • risk assessment