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Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies

Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven pai...

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Autores principales: Pearce, Dominic A., Arthur, Laura M., Turnbull, Arran K., Renshaw, Lorna, Sabine, Vicky S., Thomas, Jeremy S., Bartlett, John M. S., Dixon, J. Michael, Sims, Andrew H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4935948/
https://www.ncbi.nlm.nih.gov/pubmed/27384960
http://dx.doi.org/10.1038/srep29434
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author Pearce, Dominic A.
Arthur, Laura M.
Turnbull, Arran K.
Renshaw, Lorna
Sabine, Vicky S.
Thomas, Jeremy S.
Bartlett, John M. S.
Dixon, J. Michael
Sims, Andrew H.
author_facet Pearce, Dominic A.
Arthur, Laura M.
Turnbull, Arran K.
Renshaw, Lorna
Sabine, Vicky S.
Thomas, Jeremy S.
Bartlett, John M. S.
Dixon, J. Michael
Sims, Andrew H.
author_sort Pearce, Dominic A.
collection PubMed
description Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired diagnostic core and surgically excised breast cancer biopsies obtained from women receiving no treatment prior to surgery, to determine the impact of sampling method and tumour heterogeneity. Despite a lack of treatment and perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval (48 up, 2 down; Siggenes FDR 0.05) in a manner independent of both subtype and sampling-interval length. Instead, tumour sampling method was seen to directly impact gene expression, with similar effects additionally identified in six published breast cancer datasets. In contrast with previous findings, our data does not support the concept of a significant wounding or immune response following biopsy in the absence of treatment and instead implicates a hypoxic response following the surgical biopsy. Whilst sampling-related gene expression changes are evident in treated samples, they are secondary to those associated with response to treatment. Nonetheless, sampling method remains a potential confounding factor for neoadjuvant study design.
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spelling pubmed-49359482016-07-13 Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies Pearce, Dominic A. Arthur, Laura M. Turnbull, Arran K. Renshaw, Lorna Sabine, Vicky S. Thomas, Jeremy S. Bartlett, John M. S. Dixon, J. Michael Sims, Andrew H. Sci Rep Article Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired diagnostic core and surgically excised breast cancer biopsies obtained from women receiving no treatment prior to surgery, to determine the impact of sampling method and tumour heterogeneity. Despite a lack of treatment and perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval (48 up, 2 down; Siggenes FDR 0.05) in a manner independent of both subtype and sampling-interval length. Instead, tumour sampling method was seen to directly impact gene expression, with similar effects additionally identified in six published breast cancer datasets. In contrast with previous findings, our data does not support the concept of a significant wounding or immune response following biopsy in the absence of treatment and instead implicates a hypoxic response following the surgical biopsy. Whilst sampling-related gene expression changes are evident in treated samples, they are secondary to those associated with response to treatment. Nonetheless, sampling method remains a potential confounding factor for neoadjuvant study design. Nature Publishing Group 2016-07-07 /pmc/articles/PMC4935948/ /pubmed/27384960 http://dx.doi.org/10.1038/srep29434 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pearce, Dominic A.
Arthur, Laura M.
Turnbull, Arran K.
Renshaw, Lorna
Sabine, Vicky S.
Thomas, Jeremy S.
Bartlett, John M. S.
Dixon, J. Michael
Sims, Andrew H.
Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title_full Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title_fullStr Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title_full_unstemmed Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title_short Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
title_sort tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4935948/
https://www.ncbi.nlm.nih.gov/pubmed/27384960
http://dx.doi.org/10.1038/srep29434
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