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Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues
The prognosis of colorectal cancer (CRC) stage II and III patients remains a challenge due to the difficulties of finding robust biomarkers suitable for testing clinical samples. The majority of published gene signatures of CRC have been generated on fresh frozen colorectal tissues. Because collecti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866771/ https://www.ncbi.nlm.nih.gov/pubmed/27176004 http://dx.doi.org/10.1371/journal.pone.0153784 |
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author | Chen, Xi Deane, Natasha G. Lewis, Keeli B. Li, Jiang Zhu, Jing Washington, M. Kay Beauchamp, R. Daniel |
author_facet | Chen, Xi Deane, Natasha G. Lewis, Keeli B. Li, Jiang Zhu, Jing Washington, M. Kay Beauchamp, R. Daniel |
author_sort | Chen, Xi |
collection | PubMed |
description | The prognosis of colorectal cancer (CRC) stage II and III patients remains a challenge due to the difficulties of finding robust biomarkers suitable for testing clinical samples. The majority of published gene signatures of CRC have been generated on fresh frozen colorectal tissues. Because collection of frozen tissue is not practical for routine surgical pathology practice, a clinical test that improves prognostic capabilities beyond standard pathological staging of colon cancer will need to be designed for formalin-fixed paraffin-embedded (FFPE) tissues. The NanoString nCounter(®) platform is a gene expression analysis tool developed for use with FFPE-derived samples. We designed a custom nCounter(®) codeset based on elements from multiple published fresh frozen tissue microarray-based prognostic gene signatures for colon cancer, and we used this platform to systematically compare gene expression data from FFPE with matched microarray array data from frozen tissues. Our results show moderate correlation of gene expression between two platforms and discovery of a small subset of genes as candidate biomarkers for colon cancer prognosis that are detectable and quantifiable in FFPE tissue sections. |
format | Online Article Text |
id | pubmed-4866771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48667712016-05-18 Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues Chen, Xi Deane, Natasha G. Lewis, Keeli B. Li, Jiang Zhu, Jing Washington, M. Kay Beauchamp, R. Daniel PLoS One Research Article The prognosis of colorectal cancer (CRC) stage II and III patients remains a challenge due to the difficulties of finding robust biomarkers suitable for testing clinical samples. The majority of published gene signatures of CRC have been generated on fresh frozen colorectal tissues. Because collection of frozen tissue is not practical for routine surgical pathology practice, a clinical test that improves prognostic capabilities beyond standard pathological staging of colon cancer will need to be designed for formalin-fixed paraffin-embedded (FFPE) tissues. The NanoString nCounter(®) platform is a gene expression analysis tool developed for use with FFPE-derived samples. We designed a custom nCounter(®) codeset based on elements from multiple published fresh frozen tissue microarray-based prognostic gene signatures for colon cancer, and we used this platform to systematically compare gene expression data from FFPE with matched microarray array data from frozen tissues. Our results show moderate correlation of gene expression between two platforms and discovery of a small subset of genes as candidate biomarkers for colon cancer prognosis that are detectable and quantifiable in FFPE tissue sections. Public Library of Science 2016-05-13 /pmc/articles/PMC4866771/ /pubmed/27176004 http://dx.doi.org/10.1371/journal.pone.0153784 Text en © 2016 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Xi Deane, Natasha G. Lewis, Keeli B. Li, Jiang Zhu, Jing Washington, M. Kay Beauchamp, R. Daniel Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title | Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title_full | Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title_fullStr | Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title_full_unstemmed | Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title_short | Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues |
title_sort | comparison of nanostring ncounter(®) data on ffpe colon cancer samples and affymetrix microarray data on matched frozen tissues |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866771/ https://www.ncbi.nlm.nih.gov/pubmed/27176004 http://dx.doi.org/10.1371/journal.pone.0153784 |
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