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Profile of Micrornas in Gastric Cancer Tissues and Normal Gastric Mucosa / J. Kupcinskas, V. Salteniene, A. Link, G. Kiudelis, L. Jonaitis, J. Skieceviciene, S. Jarmalaite, L. Kupcinskas and P. Malfertheiner
Type of publication
Tezės Web of Science duomenų bazėje / Theses in Web of Science database (T1a1)
Author(s)
Link, Alexander | Otto von Guericke University Magdeburg, Magdeburg, Germany |
Jarmalaitė, Sonata | |
Malfertheiner, Peter | Otto-von-Guericke University Magdeburg, Magdeburg, Germany |
Title
Profile of Micrornas in Gastric Cancer Tissues and Normal Gastric Mucosa / J. Kupcinskas, V. Salteniene, A. Link, G. Kiudelis, L. Jonaitis, J. Skieceviciene, S. Jarmalaite, L. Kupcinskas and P. Malfertheiner
Publisher (trusted)
John Wiley & Sons Ltd
Date Issued
2014-09-11
Extent
p. 94, no.: P02.10.
Is part of
Helicobacter : Special Issue: XXVIIth International Workshop on Helicobacter and Microbiota in Chronic Digestive Inflammation and Gastric Cancer : Rome, Italy 11–13 September 2014 : Accepted Abstracts / European Helicobacter Study Group ; Editor-in-Chief: David Y Graham and Assistant Editor: Francis Megraud. Oxford, England : John Wiley & Sons Ltd, 2014, vol. 19, suppl. 1.
Version
Originalus / Original
Series/Report no.
P02 Molecular Genetics and Genomics.
P02 Molecular Genetics and Genomics.
Field of Science
Abstract
Background and Aims: MicroRNAs (miRNAs) are promising biomarkers with diagnostic and prognostic implications. These molecules are a group of small non-coding RNAs that modulate gene expression. MiRNA are deregulated in different tumors including gastric cancer (GC). The data on deregulated microRNA profile in GC tissues mandates further research. Aims & Methods: The aim of our study was to evaluate and compare miRNA profile in GC tissue and normal gastric mucosa from healthy individuals. MiRNAs from fresh frozen tissues were profiled using Applied Biosystems ViiATM 7 RT-PCR system with TaqMan Array Micro Fluidic A Cards in 15 tissue samples of primary GC and 11 normal gastric tissues from healthy controls. Log2-fold change (log2FC) calculations were performed using GenEx software. Results: The results of microRNA profiling revealed 3 down-regulated miRNAs in GC tissue samples compared to normal gastric tissue: hsa-miR-135a (log2FC = 7.96199, p = 1.73E-06), hsa-miR-26b (log2FC = 2.2343, p = 1.2E- 05), hsa-miR-148a (log2FC = 6.73728, p = 2.13E-05). The analysis also revealed 15 significantly up-regulated miRNAs in GC tissues compared to normal gastric mucosa: hsa-miR-214 3 (log2FC = 7.6098, p = 2.32E-06), hsa-miR- 155 (log2FC = 5.53734, p = 2.17E-05), hsa-miR-146b (log2FC = 4.59012, p = 3.17E-05), hsa-miR-345 (log2FC = 2.21088, p = 3.56E-05), hsa-miR-223 (log2FC = 6.21766, p = 5.53E-05), hsa-miR-126 (log2FC = 2.36791, p = 8.32E-05), hsa-miR-345 (log2FC = 2.21088, p = 3.56E-05), hsa-miR-223 (log2FC = 6.21766, p = 5.53E-05), hsa-miR-126 (log2FC = 2.36791, p = 8.32E-05), hsa-miR-484 (log2FC = 3.02072, p = 0.000116), hsa-miR-140-3p (log2FC = 2.55172, p = 0.000123), hsa-miR-10a (log2FC = 2.11934, p = 0.000194), hsa-miR-16 (log2FC = 2.1092, p = 0.0002), hsa-miR-24 (log2FC = 2.48963, p = 0.000221), hsa-miR-331 (log2FC = 2.58057, p = 0.000224). Conclusions: MicroRNA profiling analysis revealed three differentially downregulated
and 15 up-regualted miRNAs in GC tissue compared to normal gastric mucosa. This profile may serve as potential biomarker for GC and needs validation in further studies.
Is Referenced by
Type of document
type::text::conference output::conference proceedings::conference paper
ISSN (of the container)
1083-4389
Other Identifier(s)
(LSMU ALMA)990000848990107106
Coverage Spatial
Italija / Italy (IT)
Language
Anglų / English (en)
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
HELICOBACTER | 4.106 | 3.9 | 3.689 | 4.111 | 2 | 1.069 | 2014 | Q1 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
HELICOBACTER | 4.106 | 3.9 | 3.689 | 4.111 | 2 | 1.069 | 2014 | Q1 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Helicobacter | 6.9 | 1.465 | 1.113 | 2014 | Q1 |