2020
DOI: 10.1007/s10495-019-01588-y
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microRNA-499a promotes the progression and chemoresistance of cervical cancer cells by targeting SOX6

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Cited by 49 publications
(27 citation statements)
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“…Dong et al ( 13 ) demonstrated a suppressive role of miR-217 in the development of CC cells via targeting Rho-associated protein kinase 1 ( 13 ). Chen et al ( 14 ) reported that miR-499a promotes the proliferation, cell cycle progres-sion, colony formation, migration and invasion of CC cells by targeting SRY-box transcription factor 6. In addition, several miRNAs serve as diagnostic biomarkers in patients with CC, such as miR-152 and miR-365 ( 15 , 16 ).…”
Section: Introductionmentioning
confidence: 99%
“…Dong et al ( 13 ) demonstrated a suppressive role of miR-217 in the development of CC cells via targeting Rho-associated protein kinase 1 ( 13 ). Chen et al ( 14 ) reported that miR-499a promotes the proliferation, cell cycle progres-sion, colony formation, migration and invasion of CC cells by targeting SRY-box transcription factor 6. In addition, several miRNAs serve as diagnostic biomarkers in patients with CC, such as miR-152 and miR-365 ( 15 , 16 ).…”
Section: Introductionmentioning
confidence: 99%
“…Interestingly, our mechanism research suggested the interaction between CENPK and SOX6. SOX6 plays a role as a tumor suppressor gene in a variety of cancers [27][28][29] , including cervical cancer [30] . Moreover, SOX6 is a Wnt/β-catenin pathway inhibitor and p53 pathway activator [31,32] .…”
Section: Discussionmentioning
confidence: 99%
“…Major limitations include the absence of studies implementing computational models to identify these miRNAs, technical issues associated with conventional miRNA extraction and detection tools, and scarcity of anal cancer in vitro and in vivo models. Ongoing studies are still being conducted to study miRNA profiles during HIV[ 125 - 127 ] and HPV[ 128 - 130 ] infections. With the appropriate application of advanced bioinformatic analysis tools and computational models, the identification of the most predictive miRNAs, even from complex datasets would be possible.…”
Section: Limitations and Considerations For The Use Of Mirnas As Biomarkers For Anal Cancer Screeningmentioning
confidence: 99%