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Open AccessJournal ArticleDOI

MicroRNAs in plasma of pancreatic ductal adenocarcinoma patients as novel blood-based biomarkers of disease

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TLDR
Observations show the feasibility of developing plasma miRNA profiling as a sensitive and specific blood-based biomarker assay for pancreatic cancer that has the potential of translation to the clinic with additional improvements in the future.
Abstract
Development of minimally invasive biomarker assays for early detection and effective clinical management of pancreatic cancer is urgently needed to reduce high morbidity and mortality associated with this malignancy We hypothesized that if aberrantly expressing microRNAs (miRNA) in pancreatic adenocarcinoma tissues are detected in blood plasma, then plasma profiling of these miRNAs might serve as a minimally invasive early detection biomarker assay for this malignancy By using a modified protocol to isolate and quantify plasma miRNAs from heparin-treated blood, we show that miRNA profiling in plasma can differentiate pancreatic adenocarcinoma patients from healthy controls We have profiled four miRNAs, miR-21, miR-210, miR-155, and miR-196a, all implicated in the development of pancreatic cancer with either proven or predicted target genes involved in critical cancer-associated cellular pathways Of these, miR-155 has recently been identified as a candidate biomarker of early pancreatic neoplasia, whereas elevated expression of miR196a has been shown to parallel progression of disease The results revealed a sensitivity of 64% and a specificity of 89% with the analyses of plasma levels for this panel of four miRNAs The area under the receiver operating characteristic curve were estimated at 082 and 078 without and with leave-one-out cross-validation scheme, respectively These observations, although a "proof of principle" finding at this time, show the feasibility of developing plasma miRNA profiling as a sensitive and specific blood-based biomarker assay for pancreatic cancer that has the potential of translation to the clinic with additional improvements in the future

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Citations
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Dissertation

NAViGaTing the Micronome: A Systematic Study of both the External Effects of MicroRNAs on Gene Repression networks, and the Contribution of microRNA Terminal Loops to MicroRNA Function

TL;DR: This thesis examines relationships between microRNAs targeting gene networks, combining knowledge from microRNA prediction databases into the microRNA Data Integration Portal (mirDIP), and identifies 2 main classes of micro RNAs based on loop structure – perfect and occluded, which show biological relevance.
Journal ArticleDOI

Novel blood-based microRNA biomarkers for diagnosis of pancreatic cancer: a meta-analysis.

TL;DR: This meta-analysis demonstrated blood-based microRNA expression profiles with the potential to discriminate PC patients from non-PC patients, which have moderate diagnostic accuracy.
Journal ArticleDOI

Critical role of miRNAs in pancreatic cancer.

TL;DR: The present review focuses on recent advances regarding the roles of miRNAs in PC and their practical value.
Book ChapterDOI

Extracellular Nucleic Acids and Cancer

TL;DR: This chapter discusses the detection and characterization of different genetic (e.g. mutation analysis and structural variations as seen in microsatellites), epigenetic and regulatory alterations (as in different miRNA expression patterns found in tumor patients), as well as the functional and biological aspects of extracellular nucleic acids.
References
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Journal ArticleDOI

Analyzing real-time PCR data by the comparative C(T) method.

TL;DR: This protocol provides an overview of the comparative CT method for quantitative gene expression studies and various examples to present quantitative gene Expression data using this method.
Book

Pancreatic Cancer

Journal ArticleDOI

MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells.

TL;DR: It is shown that the highly malignant human brain tumor, glioblastoma, strongly over-expresses a specific miRNA, miR-21, which may contribute to the malignant phenotype by blocking expression of critical apoptosis-related genes.
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