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Title of Journal: J Cancer Res Clin Oncol

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Abbravation: Journal of Cancer Research and Clinical Oncology

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Springer Berlin Heidelberg

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DOI

10.1016/0039-3681(70)90008-7

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ISSN

1432-1335

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miR1293p as a diagnostic and prognostic biomark

Authors: Xuanyu Chen Anming Ruan Xuegang Wang Weiwei Han Rong Wang Ning Lou Hailong Ruan Bin Qiu Hongmei Yang Xiaoping Zhang
Publish Date: 2014/05/07
Volume: 140, Issue: 8, Pages: 1295-1304
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Abstract

Downregulation of miRNA expression has been identified as a novel feature of renal cell carcinoma RCC Recently miR1292 is well known to be frequently reduced by DNA methylation and has antitumor effects in various tumors but so far not in RCC The aim of this study was to investigate the clinical significance and the role of it in RCCThe expression levels of miR1293p and miR1295p two mature products of miR1292 were determined by realtime quantitative reverse transcription PCR in 69 cases of paired different kidney tumors and normal tissues and clear cell RCC ccRCC cell lines The roles of them in RCC cells were assessed by functional analyses Protein expression was detected by Western blotmiR1293p but not miR1295p was widely attenuated in human ccRCC and chromophobe RCC miR1293p could yield 735  accuracy in discriminating ccRCCs from normal tissues The relative miR1293p expression significantly differed between malignant and benign kidney tumors Importantly low miR1293p levels were associated with short diseasefree and overall survival Ectopic expression of miR1293p robustly impaired RCC cell migratory and invasive properties but had no impact on cell viability and cell cycle distribution Finally miR1293p decreased multiple metastasisrelated genes in RCC cells including SOX4 phosphorylation of focal adhesion kinase and MMP2/9 expressionmiR1293p may act as a promising diagnostic biomarker for discriminating ccRCC from benign tumors and normal tissues and an independent prognostic biomarker in ccRCC miR1293p may exert its antimetastatic function through modulating multiple targetsThis study was supported by the National Natural Science Foundation of China NSFC Grant Nos 30872924 81072095 81372760 Program for New Century Excellent Talents in University from Department of Education of China NCET080223 the National High Technology Research and Development Program of China 863 Program 2012AA021101 to Xiaoping Zhang and the NSFC Grant Nos 31070142 81272560 to Hongmei Yang


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