Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples Journal Article


Authors: Martelotto, L. G.; Baslan, T.; Kendall, J.; Geyer, F. C.; Burke, K. A.; Spraggon, L.; Piscuoglio, S.; Chadalavada, K.; Nanjangud, G.; Ng, C. K. Y.; Moody, P.; D'Italia, S.; Rodgers, L.; Cox, H.; Da Cruz Paula, A.; Stepansky, A.; Schizas, M.; Wen, H. Y.; King, T. A.; Norton, L.; Weigelt, B.; Hicks, J. B.; Reis-Filho, J. S.
Article Title: Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples
Abstract: A substantial proportion of tumors consist of genotypically distinct subpopulations of cancer cells. This intratumor genetic heterogeneity poses a substantial challenge for the implementation of precision medicine. Single-cell genomics constitutes a powerful approach to resolve complex mixtures of cancer cells by tracing cell lineages and discovering cryptic genetic variations that would otherwise be obscured in tumor bulk analyses. Because of the chemical alterations that result from formalin fixation, single-cell genomic approaches have largely remained limited to fresh or rapidly frozen specimens. Here we describe the development and validation of a robust and accurate methodology to perform whole-genome copy-number profiling of single nuclei obtained from formalin-fixed paraffin-embedded clinical tumor samples. We applied the single-cell sequencing approach described here to study the progression from in situ to invasive breast cancer, which revealed that ductal carcinomas in situ show intratumor genetic heterogeneity at diagnosis and that these lesions may progress to invasive breast cancer through a variety of evolutionary processes. © 2017 The Author(s).
Journal Title: Nature Medicine
Volume: 23
Issue: 3
ISSN: 1078-8956
Publisher: Nature Publishing Group  
Date Published: 2017-03-01
Start Page: 376
End Page: 385
Language: English
DOI: 10.1038/nm.4279
PROVIDER: scopus
PUBMED: 28165479
PMCID: PMC5608257
DOI/URL:
Notes: Article -- Export Date: 4 April 2017 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Larry Norton
    760 Norton
  2. Tari King
    186 King
  3. Hannah Yong Wen
    305 Wen
  4. Britta Weigelt
    640 Weigelt
  5. Kiu Yan Charlotte Ng
    155 Ng
  6. Michail Schizas
    27 Schizas
  7. Kathleen   Burke
    55 Burke