• Int J Colorectal Dis · Feb 2013

    miRNA expressions in rectal cancer as predictors of response to neoadjuvant chemoradiation therapy.

    • Elrasheid A H Kheirelseid, Nicola Miller, Kah Hoong Chang, Catherine Curran, Emer Hennessey, Margaret Sheehan, John Newell, Christophe Lemetre, Graham Balls, and Michael J Kerin.
    • Department of Surgery, National University of Ireland Galway, Clinical Science Institute, Costello Road, Galway, Ireland. rashmed1111@gmail.com
    • Int J Colorectal Dis. 2013 Feb 1; 28 (2): 247-60.

    IntroductionNeoadjuvant chemoradiation therapy has been shown to improve the outcome in patients with rectal cancer and is generally accepted as standard care; however, only selected patients would benefit from this treatment. We aimed to identify predictors of response to neoadjuvant chemoradiation therapy in colorectal cancer using formalin-fixed paraffin-embedded (FFPE) tissues as source of genetic materials and microarray analysis as investigation tool.MethodsAfter optimization of RNA extraction methods from FFPE, microarray analysis was carried out on total RNA extracted from 12 pre-treatment FFPE rectal tissues using Megaplex pool A. Microarray data were analysed using an artificial neural network algorithm. Statistical analysis and correlation with clinicopathological data was performed using SPSS software.ResultsA distinct miRNA expression signature predictive of response to neoadjuvant CRT in 12 FFPE pre-treatment rectal cancer tissue samples was identified. These signatures consisted of three miRNA transcripts (miR-16, miR-590-5p and miR-153) to predict complete vs. incomplete response and two miRNA transcript (miR-519c-3p and miR-561) to predict good vs. poor response with a median accuracy of 100 %.ConclusionUsing microarray analysis of pretreatment FFPE rectal cancer tissues, we identified for the first time a group of miRNA predictors of response to neoadjuvant CRT. This, indeed, can lead to a significant improvement in patient selection criteria and personalized rectal cancer management.

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