Abstract 4928: MiR expression profiles can predict response to systemic treatment in patients with advanced colorectal cancer

• Published in: Cancer research (Chicago, Ill.) Ill.), 2016-07, Vol.76 (14_Supplement), p.4928-4928
• Main Authors: Poel, Dennis, Neerincx, Maarten, Sie, Daoud L.S., van Grieken, Nicole C.T., Shankaraiah, R, van der Wolf, F. S.W., van Waesberghe, J. H.T.M, Burggraaf, J. D., Eijk, Paul P., Ylstra, Bauke, Verhoef, Cees, van de Wiel, Mark A., Verheul, Henk M.W., Buffart, Tineke E.
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.AM2016-4928

Background and aim: Patients with advanced colorectal cancer (mCRC) are commonly treated with systemic treatment consisting of fluoropyrimidine-based regimens being ineffective in 20-25% of the patients. Currently, selection criteria for patients to predict who will respond to this treatment is lacking. The aim of this study is to identify which patients will respond to first line fluoropyrimidine-based treatment based using microRNA (miR) expression profiles in order to avoid ineffective treatment. Material and methods: Total RNA was isolated from 88 fresh frozen colorectal cancer tissue samples consisting of ≥ 70% tumor cells, collected from patients with mCRC. MiR expression profiles were generated by next generation sequencing using the Illumina High Seq 2000 platform. Of all patients clinical and pathological data, including treatment response based on RECIST criteria, were collected. Class prediction and miR selection were performed using the GRidge package in R. Penalized selection and internal cross validation were used to select miRs predictive for treatment response. RESULTS: Next generation sequencing resulted in a mean of 10.087.107 (range 6.114.932 to 74.313.067) reads per sample corresponding to 2567 unique mature miR sequences, including 457 novel candidate and 2110 known miRs sequences (miRbase version 19). Penalized regression analysis on tumor specific miRs identified an expression profile which was predictive for clinical benefit (defined as response and stable disease) from first line treatment. Conclusion: With miR profiling of CRC tissue samples response prediction to first line fluoropyrimidine-based treatment in patients with mCRC is possible. We foresee that selection of treatment using miR expression profiling will avoid unnecessary treatment related toxicity and improve outcome for patients with mCRC Citation Format: Dennis Poel, Maarten Neerincx, Daoud L.S. Sie, Nicole C.T. van Grieken, R Shankaraiah, F. S.W. van der Wolf, J. H.T.M van Waesberghe, J. D. Burggraaf, Paul P. Eijk, Bauke Ylstra, Cees Verhoef, Mark A. van de Wiel, Henk M.W. Verheul, Tineke E. Buffart. MiR expression profiles can predict response to systemic treatment in patients with advanced colorectal cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4928.