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Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer
To investigate the impact of sampling methodology on gene expression data from primary estrogen receptor–positive (ER+) breast cancer biopsies, global gene expression was measured in core-cut biopsies at baseline and surgery from patients randomly assigned to receive either two weeks of presurgical...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649758/ https://www.ncbi.nlm.nih.gov/pubmed/31360844 http://dx.doi.org/10.1093/jncics/pky005 |
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author | Gao, Qiong López-Knowles, Elena U Cheang, Maggie Chon Morden, James Ribas, Ricardo Sidhu, Kally Evans, David Martins, Vera Dodson, Andrew Skene, Anthony Holcombe, Chris Mallon, Elizabeth Evans, Abigail Bliss, Judith M Robertson, John Smith, Ian Martin, Lesley-Ann Dowsett, Mitch |
author_facet | Gao, Qiong López-Knowles, Elena U Cheang, Maggie Chon Morden, James Ribas, Ricardo Sidhu, Kally Evans, David Martins, Vera Dodson, Andrew Skene, Anthony Holcombe, Chris Mallon, Elizabeth Evans, Abigail Bliss, Judith M Robertson, John Smith, Ian Martin, Lesley-Ann Dowsett, Mitch |
author_sort | Gao, Qiong |
collection | PubMed |
description | To investigate the impact of sampling methodology on gene expression data from primary estrogen receptor–positive (ER+) breast cancer biopsies, global gene expression was measured in core-cut biopsies at baseline and surgery from patients randomly assigned to receive either two weeks of presurgical aromatase inhibitor (AI; n = 157) or no presurgical treatment (n = 56). Those genes most markedly altered in the AI group (eg, FOS, DUSP1, RGS1, FOSB) were similarly altered in the no treatment group; some widely investigated genes that were apparently unaffected in the AI group (eg, MYC) were counter-altered in the control group, masking actual AI-dependent changes. In the absence of a control group, these artefactual changes would likely lead to the most affected genes being the erroneous focus of research. The findings are likely relevant to all archival collections of ER+ breast cancer. |
format | Online Article Text |
id | pubmed-6649758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66497582019-07-29 Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer Gao, Qiong López-Knowles, Elena U Cheang, Maggie Chon Morden, James Ribas, Ricardo Sidhu, Kally Evans, David Martins, Vera Dodson, Andrew Skene, Anthony Holcombe, Chris Mallon, Elizabeth Evans, Abigail Bliss, Judith M Robertson, John Smith, Ian Martin, Lesley-Ann Dowsett, Mitch JNCI Cancer Spectr Brief Communication To investigate the impact of sampling methodology on gene expression data from primary estrogen receptor–positive (ER+) breast cancer biopsies, global gene expression was measured in core-cut biopsies at baseline and surgery from patients randomly assigned to receive either two weeks of presurgical aromatase inhibitor (AI; n = 157) or no presurgical treatment (n = 56). Those genes most markedly altered in the AI group (eg, FOS, DUSP1, RGS1, FOSB) were similarly altered in the no treatment group; some widely investigated genes that were apparently unaffected in the AI group (eg, MYC) were counter-altered in the control group, masking actual AI-dependent changes. In the absence of a control group, these artefactual changes would likely lead to the most affected genes being the erroneous focus of research. The findings are likely relevant to all archival collections of ER+ breast cancer. Oxford University Press 2018-05-22 /pmc/articles/PMC6649758/ /pubmed/31360844 http://dx.doi.org/10.1093/jncics/pky005 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communication Gao, Qiong López-Knowles, Elena U Cheang, Maggie Chon Morden, James Ribas, Ricardo Sidhu, Kally Evans, David Martins, Vera Dodson, Andrew Skene, Anthony Holcombe, Chris Mallon, Elizabeth Evans, Abigail Bliss, Judith M Robertson, John Smith, Ian Martin, Lesley-Ann Dowsett, Mitch Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title | Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title_full | Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title_fullStr | Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title_full_unstemmed | Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title_short | Major Impact of Sampling Methodology on Gene Expression in Estrogen Receptor–Positive Breast Cancer |
title_sort | major impact of sampling methodology on gene expression in estrogen receptor–positive breast cancer |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649758/ https://www.ncbi.nlm.nih.gov/pubmed/31360844 http://dx.doi.org/10.1093/jncics/pky005 |
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