2014
DOI: 10.1158/0008-5472.can-14-0978
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Downregulated miR329 and miR410 Promote the Proliferation and Invasion of Oral Squamous Cell Carcinoma by Targeting Wnt-7b

Abstract: microRNA (miRNA) dysregulation contributes widely to human cancer but has not been fully assessed in oral cancers. In this study, we conducted a global microarray analysis of miRNA expression in 40 pairs of betel quid-associated oral squamous cell carcinoma (OSCC) specimens and their matched nontumorous epithelial counterparts. Eighty-four miRNAs were differentially expressed in the OSCC specimens compared with the matched tissue. Among these downregulated miRNAs, 19 miRNAs were found and mapped to the chromos… Show more

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Cited by 119 publications
(131 citation statements)
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References 44 publications
(52 reference statements)
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“…In order to identify the key miRNAs and their target genes in carcinogenesis of OSCC, and to explore the mechanism of carcinogenesis of OSCC, bioinformatics analysis was applied to select the key significantly up‐ and downregulated miRNAs from the eight currently available OSCC miRNA datasets (dataset 1, (Shiah et al, ); dataset 2 (Scapoli et al, ); dataset 3 (Soga et al, ); dataset 4 (Lu et al, ); dataset 5 (Kozaki et al, ); dataset 6 (Yu et al, ); dataset 7 (Momen‐Heravi et al, ); dataset 8 (Wong et al, )) (Table ). Furthermore, the potential target genes of the selected miRNAs were predicted, and of which function annotation and transcription factor (TF) analysis were performed as well (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…In order to identify the key miRNAs and their target genes in carcinogenesis of OSCC, and to explore the mechanism of carcinogenesis of OSCC, bioinformatics analysis was applied to select the key significantly up‐ and downregulated miRNAs from the eight currently available OSCC miRNA datasets (dataset 1, (Shiah et al, ); dataset 2 (Scapoli et al, ); dataset 3 (Soga et al, ); dataset 4 (Lu et al, ); dataset 5 (Kozaki et al, ); dataset 6 (Yu et al, ); dataset 7 (Momen‐Heravi et al, ); dataset 8 (Wong et al, )) (Table ). Furthermore, the potential target genes of the selected miRNAs were predicted, and of which function annotation and transcription factor (TF) analysis were performed as well (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We used colon carcinoma tissues for non-phospho β-catenin staining as a positive control, and non-aggressive fibrous tumors, fibroma, was also subjected to this staining. This non-phospho β-catenin antibody was also used for western blotting using oral squamous cell carcinoma in another previous study [25]. Nuclear and cytoplasmic positivity of β-catenin and non-phospho β-catenin were analyzed by two observers (S. H., T. S.) without the clinical information of cases, and classified into 4 groups according to definition of a previous report [21]; 0% for positively stained cells (negative; 0), 1% to 10% (weak; 1+), 11% to 50% (moderate; 2+) and 51% to 100% (strong; 3+) on 10 randomly selected high-power fields.…”
Section: Methodsmentioning
confidence: 99%
“…Betel ( Areca catechu ) nut chewing is associated with the development of several types of oral cancers [8]. Betel nut chewing, which is widespread in Taiwan, is an independent risk factor for the development of squamous cell head and neck cancer.…”
Section: Introductionmentioning
confidence: 99%