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

Dominic A. Pearce, Laura M Arthur, Arran K. Turnbull, Lorna Renshaw, Vicky S. Sabine, Jeremy Thomas, John Bartlett, Michael Dixon, Andrew H. Sims

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Article number29434
JournalScientific Reports
Issue number6
Publication statusPublished - 7 Jul 2016


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