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In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer

Detection of minor genetically distinct subpopulations within tumors is a key challenge in cancer genomics. Here we report STAR-FISH (Specific-To-Allele PCR – FISH), a novel method for the combined detection of single nucleotide and copy number alterations in single cells in intact archived tissues....

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Autores principales: Janiszewska, Michalina, Liu, Lin, Almendro, Vanessa, Kuang, Yanan, Paweletz, Cloud, Sakr, Rita A., Weigelt, Britta, Hanker, Ariella B., Chandarlapaty, Sarat, King, Tari A., Reis-Filho, Jorge S., Arteaga, Carlos L., Park, So Yeon, Michor, Franziska, Polyak, Kornelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589505/
https://www.ncbi.nlm.nih.gov/pubmed/26301495
http://dx.doi.org/10.1038/ng.3391
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author Janiszewska, Michalina
Liu, Lin
Almendro, Vanessa
Kuang, Yanan
Paweletz, Cloud
Sakr, Rita A.
Weigelt, Britta
Hanker, Ariella B.
Chandarlapaty, Sarat
King, Tari A.
Reis-Filho, Jorge S.
Arteaga, Carlos L.
Park, So Yeon
Michor, Franziska
Polyak, Kornelia
author_facet Janiszewska, Michalina
Liu, Lin
Almendro, Vanessa
Kuang, Yanan
Paweletz, Cloud
Sakr, Rita A.
Weigelt, Britta
Hanker, Ariella B.
Chandarlapaty, Sarat
King, Tari A.
Reis-Filho, Jorge S.
Arteaga, Carlos L.
Park, So Yeon
Michor, Franziska
Polyak, Kornelia
author_sort Janiszewska, Michalina
collection PubMed
description Detection of minor genetically distinct subpopulations within tumors is a key challenge in cancer genomics. Here we report STAR-FISH (Specific-To-Allele PCR – FISH), a novel method for the combined detection of single nucleotide and copy number alterations in single cells in intact archived tissues. Using this method, we assessed the clinical impact of changes in the frequency and topology of PIK3CA mutation and HER2/ERBB2 amplification within HER2(+) breast cancer during neoadjuvant therapy. We found that the two genetic events are not always present within the same cell. Chemotherapy selects for PIK3CA mutant cells, a minor subpopulation in nearly all treatment-naïve samples, and modulates genetic diversity within tumors. Treatment-associated changes in spatial distribution of cellular genetic diversity correlated with poor long-term outcome following adjuvant trastuzumab therapy. Our findings support the use of in situ single-cell based methods in cancer genomics and imply that chemotherapy before HER2-targeted therapy may promote treatment resistance.
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spelling pubmed-45895052016-04-01 In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer Janiszewska, Michalina Liu, Lin Almendro, Vanessa Kuang, Yanan Paweletz, Cloud Sakr, Rita A. Weigelt, Britta Hanker, Ariella B. Chandarlapaty, Sarat King, Tari A. Reis-Filho, Jorge S. Arteaga, Carlos L. Park, So Yeon Michor, Franziska Polyak, Kornelia Nat Genet Article Detection of minor genetically distinct subpopulations within tumors is a key challenge in cancer genomics. Here we report STAR-FISH (Specific-To-Allele PCR – FISH), a novel method for the combined detection of single nucleotide and copy number alterations in single cells in intact archived tissues. Using this method, we assessed the clinical impact of changes in the frequency and topology of PIK3CA mutation and HER2/ERBB2 amplification within HER2(+) breast cancer during neoadjuvant therapy. We found that the two genetic events are not always present within the same cell. Chemotherapy selects for PIK3CA mutant cells, a minor subpopulation in nearly all treatment-naïve samples, and modulates genetic diversity within tumors. Treatment-associated changes in spatial distribution of cellular genetic diversity correlated with poor long-term outcome following adjuvant trastuzumab therapy. Our findings support the use of in situ single-cell based methods in cancer genomics and imply that chemotherapy before HER2-targeted therapy may promote treatment resistance. 2015-08-24 2015-10 /pmc/articles/PMC4589505/ /pubmed/26301495 http://dx.doi.org/10.1038/ng.3391 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Janiszewska, Michalina
Liu, Lin
Almendro, Vanessa
Kuang, Yanan
Paweletz, Cloud
Sakr, Rita A.
Weigelt, Britta
Hanker, Ariella B.
Chandarlapaty, Sarat
King, Tari A.
Reis-Filho, Jorge S.
Arteaga, Carlos L.
Park, So Yeon
Michor, Franziska
Polyak, Kornelia
In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title_full In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title_fullStr In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title_full_unstemmed In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title_short In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2(+) breast cancer
title_sort in situ single cell analysis identifies heterogeneity for pik3ca mutation and her2 amplification in her2(+) breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589505/
https://www.ncbi.nlm.nih.gov/pubmed/26301495
http://dx.doi.org/10.1038/ng.3391
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