Literature DB >> 25480417

Upregulation of long non-coding RNA MALAT1 correlates with tumor progression and poor prognosis in clear cell renal cell carcinoma.

Hai-min Zhang1, Feng-qiang Yang, Shao-Jun Chen, Jianping Che, Jun-hua Zheng.   

Abstract

Long noncoding RNAs (lncRNAs) have been investigated as a new class of regulators of cellular processes, such as cell growth, apoptosis, and carcinogenesis. LncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has recently been identified to be involved in tumorigenesis of several cancers such as lung cancer, pancreatic cancer, and cervical cancer. However, the role of lncRNA MALAT1 in clear cell renal cell carcinoma (ccRCC) remains unclear. Expression levels of lncRNA MALAT1 in ccRCC tissues and renal cancer cell lines were evaluated by quantitative real-time PCR (qRT-PCR), and its association with overall survival of patients was analyzed by statistical analysis. Small interfering RNA (siRNA) was used to suppress MALAT1 expression in renal cancer cells. In vitro assays were conducted to further explore its role in tumor progression. The expression level of MALAT1 was higher in ccRCC tissues and renal cancer cells compared to adjacent non-tumor tissues and normal human proximal tubule epithelial cells HK-2. The ccRCC patients with higher MALAT1 expression had an advanced clinical features and a shorter overall survival time than those with lower MALAT1 expression. And multivariate analysis showed that the status of MALAT1 expression was an independent predictor of overall survival in ccRCC. Additionally, our data indicated that knockdown expression of MALAT1 decreased renal cancer cell proliferation, migration, and invasion. Our data suggested that lncRNA MALAT1 was a novel molecule involved in ccRCC progression, which provided a potential prognostic biomarker and therapeutic target.

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Year:  2014        PMID: 25480417     DOI: 10.1007/s13277-014-2925-6

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


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1.  Integrating ChIP-sequencing and digital gene expression profiling to identify BRD7 downstream genes and construct their regulating network.

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