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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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