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Open AccessJournal ArticleDOI

miRNAs in lung cancer - Studying complex fingerprints in patient's blood cells by microarray experiments

TLDR
The findings support the idea that neoplasia may lead to a deregulation of miRNA expression in blood cells of cancer patients compared toBlood cells of healthy individuals and provide evidence that miRNA patterns can be used to detect human cancers from blood cells.
Abstract
Deregulated miRNAs are found in cancer cells and recently in blood cells of cancer patients. Due to their inherent stability miRNAs may offer themselves for blood based tumor diagnosis. Here we addressed the question whether there is a sufficient number of miRNAs deregulated in blood cells of cancer patients to be able to distinguish between cancer patients and controls. We synthesized 866 human miRNAs and miRNA star sequences as annotated in the Sanger miRBase onto a microarray designed by febit biomed gmbh. Using the fully automated Geniom Real Time Analyzer platform, we analyzed the miRNA expression in 17 blood cell samples of patients with non-small cell lung carcinomas (NSCLC) and in 19 blood samples of healthy controls. Using t-test, we detected 27 miRNAs significantly deregulated in blood cells of lung cancer patients as compared to the controls. Some of these miRNAs were validated using qRT-PCR. To estimate the value of each deregulated miRNA, we grouped all miRNAs according to their diagnostic information that was measured by Mutual Information. Using a subset of 24 miRNAs, a radial basis function Support Vector Machine allowed for discriminating between blood cellsamples of tumor patients and controls with an accuracy of 95.4% [94.9%-95.9%], a specificity of 98.1% [97.3%-98.8%], and a sensitivity of 92.5% [91.8%-92.5%]. Our findings support the idea that neoplasia may lead to a deregulation of miRNA expression in blood cells of cancer patients compared to blood cells of healthy individuals. Furthermore, we provide evidence that miRNA patterns can be used to detect human cancers from blood cells.

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Journal ArticleDOI

MicroRNA: Biogenesis, Function and Role in Cancer.

TL;DR: The P-body model outlines microRNA sorting and shuttling between specialized P- body compartments that house enzymes required for slicer –dependent and –independent silencing, addressing the reversibility of these silencing mechanisms.
Journal ArticleDOI

Circulating microRNAs: Association with disease and potential use as biomarkers

TL;DR: The disease-specific profiles of circulating microRNAs, and the methodologies used for their detection and quantification are reviewed, and possible functions of circulatingmicroRNAs and their potential as non-invasive biomarkers are discussed.
Journal ArticleDOI

miR-1254 and miR-574-5p: serum-based microRNA biomarkers for early-stage non-small cell lung cancer

TL;DR: Serum miRNAs are differentially expressed between patients with early-stage NSCLC and controls, and the utility of miR-1254 andmiR-574-5p serum-based biomarkers as minimally invasive screening and triage tools for subsequent diagnostic evaluation warrants additional validation.
Journal ArticleDOI

MicroRNAs in cerebrospinal fluid identify glioblastoma and metastatic brain cancers and reflect disease activity.

TL;DR: This study demonstrates that microRNA-based detection of brain malignancies can be reliably performed and that microRNAs in CSF can serve as biomarkers of treatment response in brain cancers.
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Individual Comparisons by Ranking Methods

TL;DR: The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Journal ArticleDOI

The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14

TL;DR: Two small lin-4 transcripts of approximately 22 and 61 nt were identified in C. elegans and found to contain sequences complementary to a repeated sequence element in the 3' untranslated region (UTR) of lin-14 mRNA, suggesting that lin- 4 regulates lin- 14 translation via an antisense RNA-RNA interaction.
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