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Down-regulation of miR-320 associated with cancer progression and cell apoptosis via targeting Mcl-1 in cervical cancer

Overview of attention for article published in Tumor Biology, January 2016
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Citations

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39 Mendeley
Title
Down-regulation of miR-320 associated with cancer progression and cell apoptosis via targeting Mcl-1 in cervical cancer
Published in
Tumor Biology, January 2016
DOI 10.1007/s13277-015-4771-6
Pubmed ID
Authors

Ting Zhang, Ping Zou, Tiejun Wang, Jingying Xiang, Jing Cheng, Daozhen Chen, Jianwei Zhou

Abstract

Our previous studies have demonstrated overexpression of Mcl-1 in cervical cancer tumorigenesis. However, the molecular mechanism of its overexpression remains not elucidated. MiR-320 has been reported to be down-regulated in various types of cancer, and bioinformatics prediction indicated that it may regulate the expression of Mcl-1. The aim of this study is to investigate the role of miR-320 and its target gene Mcl-1 in cervical cancer progression and to assess their clinical significance. miR-320 and Mcl-1 expressions in human cervical cancer tissues were investigated by qRT-PCR, in situ hybridization, and immunohistochemical staining, respectively. The clinicopathological implications of these molecules were analyzed. Bioinformatic prediction and luciferase assays were employed to identify the predicted microRNA (miRNA) which regulates Mcl-1. The apoptosis, proliferation, migration, and invasion assays were performed to investigate the effect of miR-320 on the cervical cancer cells. MiR-320 expression is significantly down-regulated versus Mcl-1 expression is up-regulated in cervical cancer tissues compared with normal controls with a negative correlation between them. Luciferase assay showed that miR-320 negatively regulates Mcl-1 expression. In addition, miR-320 induces apoptosis via down-regulation of Mcl-1 and activation of caspase-3 but inhibits cell proliferation, migration, invasion, and tumorigenesis in cervical cancer cells. Our studies show that miR-320 expression is decreased in cervical cancer, and its expression is negatively correlated with Mcl-1 expression in cervical cancer. In addition, miR-320 inhibits cervical cancer progression by down-regulation of Mcl-1. These results indicate that miR-320 may be an important biomarker and target for diagnosis and treatment of cervical cancer patient.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Student > Bachelor 7 18%
Professor > Associate Professor 2 5%
Student > Ph. D. Student 2 5%
Student > Doctoral Student 1 3%
Other 3 8%
Unknown 15 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2016.
All research outputs
#17,780,575
of 22,837,982 outputs
Outputs from Tumor Biology
#1,219
of 2,622 outputs
Outputs of similar age
#268,577
of 394,936 outputs
Outputs of similar age from Tumor Biology
#72
of 271 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 271 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.