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Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens
The utilization of archived, formalin-fixed paraffin-embedded (FFPE) tumor samples for massive parallel sequencing has been challenging due to DNA damage and contamination with normal stroma. Here, we perform whole genome sequencing of DNA isolated from two triple-negative breast cancer tumors archi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413110/ https://www.ncbi.nlm.nih.gov/pubmed/22492626 http://dx.doi.org/10.1093/nar/gks299 |
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author | Yost, Shawn E. Smith, Erin N. Schwab, Richard B. Bao, Lei Jung, HyunChul Wang, Xiaoyun Voest, Emile Pierce, John P. Messer, Karen Parker, Barbara A. Harismendy, Olivier Frazer, Kelly A. |
author_facet | Yost, Shawn E. Smith, Erin N. Schwab, Richard B. Bao, Lei Jung, HyunChul Wang, Xiaoyun Voest, Emile Pierce, John P. Messer, Karen Parker, Barbara A. Harismendy, Olivier Frazer, Kelly A. |
author_sort | Yost, Shawn E. |
collection | PubMed |
description | The utilization of archived, formalin-fixed paraffin-embedded (FFPE) tumor samples for massive parallel sequencing has been challenging due to DNA damage and contamination with normal stroma. Here, we perform whole genome sequencing of DNA isolated from two triple-negative breast cancer tumors archived for >11 years as 5 µm FFPE sections and matched germline DNA. The tumor samples show differing amounts of FFPE damaged DNA sequencing reads revealed as relatively high alignment mismatch rates enriched for C·G > T·A substitutions compared to germline samples. This increase in mismatch rate is observable with as few as one million reads, allowing for an upfront evaluation of the sample integrity before whole genome sequencing. By applying innovative quality filters incorporating global nucleotide mismatch rates and local mismatch rates, we present a method to identify high-confidence somatic mutations even in the presence of FFPE induced DNA damage. This results in a breast cancer mutational profile consistent with previous studies and revealing potentially important functional mutations. Our study demonstrates the feasibility of performing genome-wide deep sequencing analysis of FFPE archived tumors of limited sample size such as residual cancer after treatment or metastatic biopsies. |
format | Online Article Text |
id | pubmed-3413110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34131102012-08-07 Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens Yost, Shawn E. Smith, Erin N. Schwab, Richard B. Bao, Lei Jung, HyunChul Wang, Xiaoyun Voest, Emile Pierce, John P. Messer, Karen Parker, Barbara A. Harismendy, Olivier Frazer, Kelly A. Nucleic Acids Res Methods Online The utilization of archived, formalin-fixed paraffin-embedded (FFPE) tumor samples for massive parallel sequencing has been challenging due to DNA damage and contamination with normal stroma. Here, we perform whole genome sequencing of DNA isolated from two triple-negative breast cancer tumors archived for >11 years as 5 µm FFPE sections and matched germline DNA. The tumor samples show differing amounts of FFPE damaged DNA sequencing reads revealed as relatively high alignment mismatch rates enriched for C·G > T·A substitutions compared to germline samples. This increase in mismatch rate is observable with as few as one million reads, allowing for an upfront evaluation of the sample integrity before whole genome sequencing. By applying innovative quality filters incorporating global nucleotide mismatch rates and local mismatch rates, we present a method to identify high-confidence somatic mutations even in the presence of FFPE induced DNA damage. This results in a breast cancer mutational profile consistent with previous studies and revealing potentially important functional mutations. Our study demonstrates the feasibility of performing genome-wide deep sequencing analysis of FFPE archived tumors of limited sample size such as residual cancer after treatment or metastatic biopsies. Oxford University Press 2012-08 2012-04-06 /pmc/articles/PMC3413110/ /pubmed/22492626 http://dx.doi.org/10.1093/nar/gks299 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Yost, Shawn E. Smith, Erin N. Schwab, Richard B. Bao, Lei Jung, HyunChul Wang, Xiaoyun Voest, Emile Pierce, John P. Messer, Karen Parker, Barbara A. Harismendy, Olivier Frazer, Kelly A. Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title | Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title_full | Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title_fullStr | Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title_full_unstemmed | Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title_short | Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
title_sort | identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413110/ https://www.ncbi.nlm.nih.gov/pubmed/22492626 http://dx.doi.org/10.1093/nar/gks299 |
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