Computational Correlation Among Micrornas And Mrnas Specifically Expressed In Pancreatic Cancer Stem Cells

The objective of this study was to analyze and identify pancreatic cancer stem cell-specific microRNAs (miRNAs) and messenger RNAs (mRNAs) and investigate their correlations to cancer stem cell biology. More, pancreatic cancer stem cell-specific miRNAs in cancer patients’ serum were analyzed to determine as a diagnostic application. We used sphere cultivation methods to enrich the stem cell population from the pancreatic cancer cell line, Capan-1 with the normal pancreatic cell line, YGIC-6, and analyzed the overall miRNA and mRNA expressions using with microarray analysis. Total RNA from normal and patient9s serum was extracted and the expression individual miRNAs in serum was analyzed by real-time PCR. Fifty two miRNAs including mir-26a, miR-99a, miR-106a, mir-125b, miR-192 and mir-429 were differentially expressed in the pancreatic cancer stem cells. From the miRNA analysis, 170 miRNAs were differentially expressed in the normal cell line YGIC-6, 126 miRNAs in the cancer cell line Capan-1 and 12 miRNAs in both the normal and cancer cell line originated stem cell populations. Examining both the miRNA and mRNA profiles, 52 miRNAs and 111 stem cell-associated mRNAs were highly correlated (both p values Citation Format: Dawoon E. Jung, Hyungseok Choi, Jee Yeon Heo, Hee Seung Lee, Kyong Joo Lee, Si Young Song. Computational correlation among microRNAs and mRNAs specifically expressed in pancreatic cancer stem cells. [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 1955.