Pancreatic cancer is an abhorrent malignancy with limited diagnostics and
response to drug therapy. It is believed that noncoding RNAs (ncRNAs) will further the
understanding behind the mechanisms of pancreatic cancer development and progression,
providing a novel approach for drug development and biomarker discovery. Therefore, a
database of pancreatic cancer ncRNAs was established using bioinformatics and text
mining approaches. These ncRNAs were characterized for RNA expression, copy number
variation, disease association, single nucleotide polymorphisms, secretome analysis, and
identification of protein targets. Exosomal proteins and ncRNA identified through this
study provide the basis for noninvasive diagnostic potential. Additionally, a secreted
microRNA, MIR3620, emerged from this study as a potential prognostic and diagnostic
biomarker for pancreatic cancer. By analyzing MIR3620 and its protein targets, a
mechanism of regulation for these genes in contributing to the progression and
development of pancreatic cancer was established. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_40742 |
| Contributors | Makler, Amy (author), Narayanan, Ramaswamy (Thesis advisor), Florida Atlantic University (Degree grantor), Charles E. Schmidt College of Science, Department of Biological Sciences |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 178 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
Page generated in 0.0017 seconds