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Concordant hypermethylation of intergenic microRNA genes in human hepatocellular carcinoma as new diagnostic and prognostic marker

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TLDR
In primary human HCC specimens hypermethylation and expression of microRNA genes showed an inverse correlation, which is a highly specific marker for the detection of HCC and for poor prognosis.
Abstract
Epigenetic inactivation by aberrant DNA methylation has been reported for many microRNA genes in various human malignancies. However, relatively little is known about microRNA gene methylation in hepatocellular carcinoma (HCC). Therefore, a systematic screen for identification of aberrantly hypermethylated microRNA genes in HCC was initiated. The methylation status of 39 intergenic CpG island associated microRNA genes was analyzed in HCC cell lines (n = 7), immortalized hepatocytes (n = 2) and normal liver samples (n = 5). Subsequently, 13 differentially methylated microRNA genes were analyzed in primary human HCC samples (n = 40), benign liver tumors (n = 15) and the adjacent liver tissues employing pyrosequencing. Expression of microRNA genes was measured using quantitative real-time polymerase chain reaction (RT-PCR). In addition, DNA methylation and expression of microRNA genes were measured after DNMT1 knockdown or DNMT inhibition. Aberrant hypermethylation and concomitant reduction in expression of intergenic microRNA genes is a frequent event in human HCC: hsa-mir-9-2 (23%), hsa-mir-9-3 (50 %), hsa-mir-124-1 (20%), hsa-mir-124-2 (13%), hsa-mir-124-3 (43%), hsa-mir-129-2 (58%), hsa-mir-596 (28%) and hsa-mir-1247 (38%). Altogether, it affects 90% of the HCC specimens under study. MicroRNA gene methylation is not found in hepatocellular adenoma (n = 10) and focal nodular hyperplasia (n = 5). DNMT1 knockdown or DNMT inhibition reduced microRNA gene methylation and stimulated expression. In primary human HCC specimens hypermethylation and expression of microRNA genes showed an inverse correlation. Concordant hypermethylation of three or more microRNA genes is a highly specific marker for the detection of HCC and for poor prognosis.

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miR-129 promotes apoptosis and enhances chemosensitivity to 5-fluorouracil in colorectal cancer.

TL;DR: The discovery of a novel mechanism mediated by microRNA-129 (miR-129) to trigger apoptosis by suppressing a key anti-apoptotic protein, B-cell lymphoma 2 (BCL2) is discovered and it is demonstrated that miR- 129 enhanced the cytotoxic effect of 5-fluorouracil both in vitro and in vivo.
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MicroRNAs and cancer

TL;DR: The review is devoted to analyzing the data on the role of microRNAs in human tumor progression and their participation in the processes responsible for the transformed phenotype of tumor cells.
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MicroRNAs as Biomarkers for Liver Disease and Hepatocellular Carcinoma

TL;DR: Serum levels of liver enzymes provide insight into liver function and are used during treatment of liver disease, but such information is limited and more sensitive biomarkers may help to achieve earlier detection of neoplastic changes preceding HCC.
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Methylation of miR-129-5p CpG island modulates multi-drug resistance in gastric cancer by targeting ABC transporters

TL;DR: The present study indicated that hyper-methylation of miR-129-5p CpG island might play important roles in the development of gastric cancer chemo-resistance by targeting MDR related ABC transporters and might be used as a potential therapeutic target in preventing the chemo -resistance of Gastric cancer.
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Low expression levels of microRNA-124-5p correlated with poor prognosis in colorectal cancer via targeting of SMC4.

TL;DR: The results indicate that miR‐124‐5p may target the tumorigenesis gene, SMC4, which suggests that expression levels of miR•124‐ 5p in plasma and FFPE samples may be used as biomarkers to determine the prognosis of colorectal cancer patients.
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Journal ArticleDOI

Specific activation of microRNA-127 with downregulation of the proto-oncogene BCL6 by chromatin-modifying drugs in human cancer cells

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Journal ArticleDOI

COBRA: a sensitive and quantitative DNA methylation assay

TL;DR: COBRA shows that methylation levels in the original DNA sample are represented by the relative amounts of digested and undigested PCR product in a linearly quantitative fashion across a wide spectrum of DNAmethylation levels.
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