Abstract 522: Revealing the complexity of cancer associated small non-coding RNAs by next generation sequencing (NGS) and low-density array

Abstract

Abstract Background. The recent development of high-throughput sequencing technologies (Next Generation Sequencing - NGS) provided instruments to reveal the complexity of nucleic acids, highlighting the existence of numerous species of non-coding RNAs (ncRNAs) that play a significant regulatory role in complex organisms, impacting on both physiology and disease. In particular, microRNAs (miRNAs) have been proposed as “next-generation” markers for their ability to unambiguously distinguish cellular states, including SCs, progenitors and differentiated cells, as well as tumour types, even among closely related cancers or in different biological fluids. However, a comprehensive approach for the identification and characterization of small non-coding RNAs from pathological samples (blood, FFPE, primary cultures) has not been established nor compared with current available methodologies (i.e. QPCR). Aim: Our aim is to develop a simultaneous and comparative protocol for the analysis of small non-coding RNAs from pathological samples, which encompasses both high-throughput QPCR and sequencing analysis in order to reveal the complexity of cancer associated small ncRNAs. Results: An optimized protocol to analyse small ncRNAs from different pathological samples has been developed and compared with high-throughput QPCR. Both platforms resulted as highly efficient and quantitative, although NGS manages to score many molecules and RNA species that could not be analysed by current QPCR platforms, thus revealing a major complexity of cancer associated non-coding RNAs. Conclusion: We propose that the combined use of NGS and QPCR platforms would allow a wider and more detailed analysis of ncRNAs, expanding our ability to fish out robust and efficient molecular markers for diagnostic (early detection), prognostic or therapeutic use. Note: This abstract was not presented at the meeting. Citation Format: Francesca Montani, Matteo Marzi, Rose Mary Carletti, Pier Paolo Di Fiore, Francesco Nicassio. Revealing the complexity of cancer associated small non-coding RNAs by next generation sequencing (NGS) and low-density array. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 522. doi:10.1158/1538-7445.AM2014-522