Differential expression of microRNA501‐5p affects the aggressiveness of clear cell renal carcinoma

Mangolini, Alessandra; Bonon, Anna; Volinia, Stefano; Lanza, Giovanni; Gambari, Roberto; Pinton, Paolo; Russo, Gian Rosario; Senno, Laura del; Dell’Atti, Lucio; Aguiari, Gianluca

doi:10.1016/j.fob.2014.10.016

Cited by 15 publications

(25 citation statements)

References 40 publications

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“…These molecules can differentiate ccRCC from papillary and chromophobe histologies (5) and have been associated with RCC metastasis (6)(7)(8) and aggressiveness (9)(10)(11)(12)(13)(14)(15). The Cancer Genome Atlas (TCGA) project on ccRCC showed that unsupervised analysis of miRNA expression can classify tumors into 4 distinct clusters of different survival, with miR-21 showing the strongest correlation with poor overall survival (OS) (9).…”

Section: Introductionmentioning

confidence: 99%

“…The Cancer Genome Atlas (TCGA) project on ccRCC showed that unsupervised analysis of miRNA expression can classify tumors into 4 distinct clusters of different survival, with miR-21 showing the strongest correlation with poor overall survival (OS) (9). Studies with a smaller number of samples have also proposed miRNA signatures as markers of aggressive ccRCC (10)(11)(12)(13)(14)(15), suggesting an important role for miRNAs in prognosis. However, these studies mentioned…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

García-Donás¹,

Beuselinck²,

Inglada-Pérez³

et al. 2016

JCI Insight

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

García-Donás¹,

Beuselinck²,

Inglada-Pérez³

et al. 2016

JCI Insight

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“…A number of experiments have shown that miRNAs could function as important regulators in the carcinogenesis of renal cancer. For example, miR-133b inhibited cell proliferation, migration and invasion by targeting matrix metallopeptidase-9 (22), and downregulating miR-501-5p induced increases in caspase-3 activity and p53 expression, as well as decreasing mTOR activation, which leads to the stimulation of the apoptotic pathway (23). In addition, miRNAs may also be promising biomarkers for RCC diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Tumor suppressive microRNA-429 regulates cellular function by targeting VEGF in clear cell renal cell carcinoma

Chen

et al. 2015

Molecular Medicine Reports

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Clear cell renal cell carcinoma (ccRCC) is the predominant and most aggressive type of kidney malignancy, however, the mechanism underlying its carcinogenesis remains to be elucidated. The present study aimed to determine the expression and function of microRNA (miR)‑429 in ccRCC carcinogenesis. Reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) was used to detect the expression of miR‑429 in ccRCC specimens. Following transfection of miR‑429 synthetic mimics, the expression of miR‑429 was examined and cell proliferation, cell migration, apoptosis and luciferase assays were conducted in ccRCC cell lines. The results demonstrated that expression of miR‑429 was decreased in ccRCC cells. In addition, upregulation of miR‑429 by transfection of mimics reduced cellular proliferation and migration, and induced apoptosis in ACHN and 786‑0 cell lines. Furthermore, miR‑429 decreased the 3'UTR luciferase activity of vascular endothelial growth factor (VEGF) and c‑MYC, and RT‑qPCR analysis demonstrated that the cancer cells transfected with miR‑429 mimics exhibited decreased expression of VEGF, but not c‑MYC. To the best of our knowledge, the present study was the first to reveal that downregulated miR‑429 functioned as a tumor suppressor by restraining cellular proliferation and migration, and inducing apoptosis, as well as targeting VEGF in ccRCC cells.

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“…These clustered miRNAs are part of the miR-500 and miR-132 miRNA family. There is evidence reporting that miR-500 family take part in kidney cancer [45,46,44]. Genomic locations of these synergistic miR-500 family miRNAs are illustrated in Figure 5.…”

Section: Triplets Coded Close On the Genomementioning

confidence: 99%

miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests

Olgun

Taştan

2019

Preprint

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Although miRNAs can cause widespread changes on expression programs, single miRNAs typically induce mild repression on their targets. Cooperativity is reported as one strategy to overcome this constraint. Expanding the catalog of synergistic miRNAs is critical for understanding the regulation of various gene expression programs. In this study, we develop miRCoop to identify synergistic miRNA pairs which have weak or no repression on the target mRNA, but when bound together induce strong repression of their target's expression. To discover triplets of RNAs whose expression levels follow these statistical interaction patterns, miR-Coop uses kernel-based interaction tests together with miRNA and mRNA target information. We apply our approach to kidney tumor and identify 66 putative triplets. For 64 of these triplets, there is at least one common transcription factor that potentially regulates all participating RNAs of the triplet supporting a functional association among them. Furthermore, we find triplets are enriched for biological processes, which are relevant to kidney cancer. Some of the synergistic miRNAs are very closely encoded in the genome hinting a functional association among them. We believe miR-Coop can aid our understanding of the complex regulatory interactions in different health and disease states of the cell.

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Differential expression of microRNA501‐5p affects the aggressiveness of clear cell renal carcinoma

Cited by 15 publications

References 40 publications

Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

Tumor suppressive microRNA-429 regulates cellular function by targeting VEGF in clear cell renal cell carcinoma

miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests

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