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A plasma microRNA panel for early detection of colorectal cancer

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TLDR
A plasma microRNA panel that has potential clinical value in early CRC detection and would play a critical role on preliminarily screening CRC in general population is revealed.
Abstract
Colonoscopy remains the standard screening method for detecting colorectal cancer (CRC) at an early stage. However, many people avoid having a colonoscopy because of the fear for its potential complications. Our study aimed to identify plasma microRNAs for preliminarily screening CRC in general population, so that some unnecessary colonoscopies can be avoided. We investigated plasma microRNA expression in three independent cohorts including the discovery (n = 80), training (n = 112), and validation (n = 49) phases recruited at two medical centers. Microarrays were used for screening 723 microRNAs in 80 plasma samples to identify candidate microRNAs. Quantitative reverse-transcriptase PCR was performed on the 161 training and validation plasma samples to evaluate the candidate microRNAs discovered from microarrays. A logistic regression model was constructed based on the training cohort and then verified by using the validation dataset. Area under the receiver operating characteristic curve (AUC) was used to evaluate the diagnostic accuracy. We identified a panel of miR-409-3p, miR-7, and miR-93 that yielded high diagnostic accuracy in discriminating CRC from healthy group (AUC: 0.866 and 0.897 for training and validation dataset, respectively). Moreover, the diagnostic performance of the microRNA panel persisted in nonmetastasis CRC stages (Dukes' A-B, AUC: 0.809 and 0.892 for training and validation dataset, respectively) and in metastasis CRC stages (Dukes' C-D, AUC: 0.917 and 0.865 for training and validation dataset, respectively). In conclusion, our study reveals a plasma microRNA panel that has potential clinical value in early CRC detection and would play a critical role on preliminarily screening CRC in general population.

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Clinical relevance of circulating cell-free microRNAs in cancer

TL;DR: The latest developments in the use of circulating microRNAs as prognostic and predictive biomarkers are considered and their utility in personalized medicine is discussed.
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Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers

TL;DR: Assessment of the colon cancer "epigenome" has revealed that virtually all CRCs have aberrantly methylated genes and altered miRNA expression, and progress in this field suggests that these epigenetic alterations will be commonly used in the near future to direct the prevention and treatment of CRC.
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The validity of circulating microRNAs in oncology: five years of challenges and contradictions.

TL;DR: This review will critically address the results of circulating miRNA research in oncology that have been published between January 2008 and June 2013, and discuss pre‐analytical challenges, technological pitfalls and limitations that may contribute to the non‐reproducibility of circulatingMiRNAs in circulation.
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miRNAs and ovarian cancer: An overview†

TL;DR: This review summarizes the current knowledge regarding the role of miRNAs expression in ovarian cancer and provides information about potential clinical relevance of circulatingmiRNAs for OC diagnosis, prognosis, and therapeutics.
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Clinical relevance of circulating cell-free microRNAs in ovarian cancer

TL;DR: This review summarizes the current knowledge regarding the potential clinical relevance of circulating cell-free miRNA for ovarian cancer diagnosis, prognosis, and therapeutics and suggests that the addition of these miRNAs to current testing regimens may improve diagnosis accuracies for ovariancancer.
References
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Journal ArticleDOI

Global cancer statistics

TL;DR: A substantial proportion of the worldwide burden of cancer could be prevented through the application of existing cancer control knowledge and by implementing programs for tobacco control, vaccination, and early detection and treatment, as well as public health campaigns promoting physical activity and a healthier dietary intake.
Journal ArticleDOI

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

TL;DR: A nonparametric approach to the analysis of areas under correlated ROC curves is presented, by using the theory on generalized U-statistics to generate an estimated covariance matrix.
Journal ArticleDOI

On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other

TL;DR: In this paper, the authors show that the limit distribution is normal if n, n$ go to infinity in any arbitrary manner, where n = m = 8 and n = n = 8.
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