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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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Posted ContentDOI

OmicSelector: automatic feature selection and deep learning modeling for omic experiments

TL;DR: OmicSelector is presented - Docker-based web application and R package that facilitates the analysis of high-throughput screening assays and provides classification performance metrics for proposed feature sets, allowing researchers to choose the overfitting-resistant biomarker set with the highest diagnostic potential.
Journal ArticleDOI

MicroRNAs: Novel players in the diagnosis and treatment of cancer cachexia (Review)

TL;DR: The role of miRNAs in the progression of cancer cachexia is discussed, their diagnostic value and potential therapeutic value are assessed, and their role in the malignant state of systemic inflammation is assessed.
Book ChapterDOI

Biomarkers of Cancer

Kewal K. Jain
TL;DR: In the past decade, molecular dissection of the cancer by means of mRNA expression profiling enabled detailed classification according to tumor subtypes, and there is a need for more exact molecular biomarkers for use in clinical practice.
Book ChapterDOI

MicroRNAs in Solid Tumors

TL;DR: Recent advances on the use of miRNAs as a potential approach for diagnosis and prognosis of solid cancer are highlighted.
Dissertation

Dysregulation of Host Cellular microRNA Expression by the Human Papillomavirus E6 and E7 Oncoproteins

TL;DR: This dissertation investigates how HPV16 E6 and E7 dysregulate expression of non-coding RNAs, with a focus on microRNAs (miRs), and examines cellular miRs modulated by expression of HPV 16 E6/E7 in undifferentiated primary human epithelial cells.
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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