↓ Skip to main content

Genetic analysis and preliminary function study of miR-423 in breast cancer

Overview of attention for article published in Tumor Biology, February 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
2 X users
patent
2 patents

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
23 Mendeley
Title
Genetic analysis and preliminary function study of miR-423 in breast cancer
Published in
Tumor Biology, February 2015
DOI 10.1007/s13277-015-3126-7
Pubmed ID
Authors

Huanhuan Zhao, Ang Gao, Zhiqian Zhang, Ruoyu Tian, Ang Luo, Mei Li, Dan Zhao, Liya Fu, Li Fu, Jin-Tang Dong, Zhengmao Zhu

Abstract

Common genetic variants (single nucleotide polymorphisms SNPs) in microRNA (miRNA) genes may alter their maturation or expression and play a role in the formation of human cancer. Recently, the association between the SNP rs6505162 in pre-miR-423 and cancer risk has been frequently evaluated in diverse populations and in a range of cancers. In this study, we determined the genotypes of SNP rs6505162 in 5 matched cell lines (breast cancer cell lines and their corresponding peripheral blood cell lines) and 114 matched clinical specimens (clinical breast carcinoma specimens and their corresponding normal tissues), compared the processing efficiency of pri-miRNA to mature forms between pre-miR-423-12C (wild-type) and pre-miR-423-12A (mutant-type) expression vectors, and evaluated the function of miR-423 on cell proliferation. Our data showed that two out of five breast cancer cell lines and 8.77 % (10/114) of tumors underwent somatic mutations of the rs6505162 SNP, and somatic mutation state was significantly correlated with the expression of clinicopathologic variables, proliferating cell nuclear antigen (PCNA) and mutant p53. The pre-miR-423-12C SNP blocked the endogenous processing of pri-miR-423 to its two mature miRNAs. Interestingly, selected pre-miR-423-12C stable cell population had lower proliferation ability than pre-miR-423-12A stable cell population. Moreover, miR-423 promoted cell proliferation in breast cancer cell lines through its miR-423-3p strand, not miR-423-5p. Taken together, these results suggest that the SNP rs6505162 in pre-miR-423 affects the mature miR expression, and miR-423 plays a potentially oncogenic role in breast tumorigenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 4 17%
Student > Doctoral Student 3 13%
Student > Ph. D. Student 2 9%
Student > Bachelor 1 4%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 35%
Agricultural and Biological Sciences 6 26%
Medicine and Dentistry 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 February 2021.
All research outputs
#4,102,803
of 22,787,797 outputs
Outputs from Tumor Biology
#115
of 2,622 outputs
Outputs of similar age
#59,657
of 353,662 outputs
Outputs of similar age from Tumor Biology
#3
of 162 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 95% of its peers.
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 353,662 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.