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Your search keyword '"Funmilayo Olaoye"' showing total 2 results
Start Over Author "Funmilayo Olaoye" Publisher public library of science (plos)
2 results on '"Funmilayo Olaoye"'

1. A genome-wide investigation of microRNA expression identifies biologically-meaningful microRNAs that distinguish between high-risk and low-risk intraductal papillary mucinous neoplasms of the pancreas.

Author

Jennifer Permuth-Wey, Y Ann Chen, Kate Fisher, Susan McCarthy, Xiaotao Qu, Mark C Lloyd, Agnieszka Kasprzak, Michelle Fournier, Vonetta L Williams, Kavita M Ghia, Sean J Yoder, Laura Hall, Christina Georgeades, Funmilayo Olaoye, Kazim Husain, Gregory M Springett, Dung-Tsa Chen, Timothy Yeatman, Barbara Ann Centeno, Jason Klapman, Domenico Coppola, and Mokenge Malafa

Subjects
Medicine, Science
Abstract

BACKGROUND:Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic ductal adenocarcinoma (PDAC) precursors. Differentiating between high-risk IPMNs that warrant surgical resection and low-risk IPMNs that can be monitored is a significant clinical problem, and we sought to discover a panel of mi(cro)RNAs that accurately classify IPMN risk status. METHODOLOGY/PRINCIPAL FINDINGS:In a discovery phase, genome-wide miRNA expression profiling was performed on 28 surgically-resected, pathologically-confirmed IPMNs (19 high-risk, 9 low-risk) using Taqman MicroRNA Arrays. A validation phase was performed in 21 independent IPMNs (13 high-risk, 8 low-risk). We also explored associations between miRNA expression level and various clinical and pathological factors and examined genes and pathways regulated by the identified miRNAs by integrating data from bioinformatic analyses and microarray analysis of miRNA gene targets. Six miRNAs (miR-100, miR-99b, miR-99a, miR-342-3p, miR-126, miR-130a) were down-regulated in high-risk versus low-risk IPMNs and distinguished between groups (P

Published
2015
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2. A genome-wide investigation of microRNA expression identifies biologically-meaningful microRNAs that distinguish between high-risk and low-risk intraductal papillary mucinous neoplasms of the pancreas

Author

Agnieszka Kasprzak, Susan McCarthy, Gregory M. Springett, Laura S. Hall, Dung-Tsa Chen, Jason B. Klapman, Christina Georgeades, Barbara A. Centeno, Y. Ann Chen, Mokenge P. Malafa, Michelle Fournier, Xiaotao Qu, Jennifer Permuth-Wey, Timothy J. Yeatman, Kazim Husain, Kate Fisher, Sean J. Yoder, Domenico Coppola, Vonetta L. Williams, Kavita M. Ghia, Funmilayo Olaoye, and Mark C. Lloyd

Subjects
Surgical resection, Male, medicine.medical_specialty, Pathology, endocrine system diseases, lcsh:Medicine, Pilot Projects, Genome, Diagnosis, Differential, microRNA, medicine, Humans, Gene Regulatory Networks, lcsh:Science, Serum Albumin, Aged, Oligonucleotide Array Sequence Analysis, Aged, 80 and over, Multidisciplinary, Clinical pathology, business.industry, Gene Expression Profiling, lcsh:R, Middle Aged, medicine.disease, Adenocarcinoma, Mucinous, 3. Good health, Gene expression profiling, Gene Expression Regulation, Neoplastic, Pancreatic Neoplasms, Adenocarcinoma, Papillary, MicroRNAs, medicine.anatomical_structure, Dysplasia, Female, lcsh:Q, Differential diagnosis, Pancreas, business, Carcinoma, Pancreatic Ductal, Research Article
Abstract

Background Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic ductal adenocarcinoma (PDAC) precursors. Differentiating between high-risk IPMNs that warrant surgical resection and low-risk IPMNs that can be monitored is a significant clinical problem, and we sought to discover a panel of mi(cro)RNAs that accurately classify IPMN risk status. Methodology/Principal Findings In a discovery phase, genome-wide miRNA expression profiling was performed on 28 surgically-resected, pathologically-confirmed IPMNs (19 high-risk, 9 low-risk) using Taqman MicroRNA Arrays. A validation phase was performed in 21 independent IPMNs (13 high-risk, 8 low-risk). We also explored associations between miRNA expression level and various clinical and pathological factors and examined genes and pathways regulated by the identified miRNAs by integrating data from bioinformatic analyses and microarray analysis of miRNA gene targets. Six miRNAs (miR-100, miR-99b, miR-99a, miR-342-3p, miR-126, miR-130a) were down-regulated in high-risk versus low-risk IPMNs and distinguished between groups (P

Published
2015

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