Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor Tissue

Title:Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor Tissue

Volume: 15 Issue: 5

Author(s): Hsiuying Wang

Affiliation:

Keywords: Cancer, microarray expression profile, microRNA, normal tissue, the relative R-squared method, tumor tissue.

Abstract: MicroRNAs (miRNAs) are small, noncoding RNAs with important functions in development, cell differentiation, and regulation of cell cycle and apoptosis. Many studies have now shown that miRNAs are involved in the initiation and progression of cancers. In this study, procedures based on the relative R-squared method (RRSM) are proposed to investigate miRNA-mRNA regulatory relationships between 114 miRNAs and 16063 mRNAs for different organic tissues. These procedures are based on comparing the expression profiles in tumor tissue and those in normal tissues, or based on the expression profiles in tumor tissue only. The analyzed results are used to predict high-confident miRNAs for tumor development and their targets. This study predicts many high-confident miRNAs which are associated with colon cancer, prostate cancer, pancreatic cancer, lung cancer, breast cancer, bladder cancer and kidney cancer, respectively.

Cite this article as:

Wang Hsiuying, Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor Tissue, Current Pharmaceutical Biotechnology 2014; 15 (5) . https://dx.doi.org/10.2174/1389201015666140519121255