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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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Detalles Bibliográficos
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
Descripción
Sumario: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.