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Bioinformatics identification of potentially involved microRNAs in Tibetan with gastric cancer based on microRNA profiling

Overview of attention for article published in Cancer Cell International, December 2015
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Title
Bioinformatics identification of potentially involved microRNAs in Tibetan with gastric cancer based on microRNA profiling
Published in
Cancer Cell International, December 2015
DOI 10.1186/s12935-015-0266-1
Pubmed ID
Authors

Yushuang Luo, Chengwu Zhang, Feng Tang, Junhui Zhao, Cunfang Shen, Cheng Wang, Pengjie Yu, Miaozhou Wang, Yan Li, J. I. Di, Rong Chen, Ge Rili

Abstract

The incidence of gastric cancer is high in Chinese Tibetan. This study aimed to identify the differentially expressed microRNAs (miRNAs) and further explore their potential roles in Tibetan with gastric cancer so as to predict potential therapeutic targets. A total of 10 Tibetan patients (male:female = 6:4) with gastric cancer were enrolled for isolation of matched gastric cancer and adjacent non-cancerous tissue samples. Affymetrix GeneChip microRNA 3.0 Array was employed for detection of miRNA expression in samples. Differential expression analysis between two sample groups was analyzed using Limma package. Then, MultiMiR package was used to predict targets for miRNAs. Following, the target genes were put into DAVID (Database for Annotation, Visualization and Integrated Discovery) to identify the significant pathways of miRNAs. Using Limma package in R, a total of 27 differentially expressed miRNAs were screened out in gastric cancer, including 25 down-regulated (e.g. hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p) and 2 up-regulated miRNAs. According to multiMiR package, a number of 1445 target genes (e.g. Wnt1, KLF4 and S1PR1) of 13 differentially expressed miRNAs were screened out. Among those miRNAs, hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p were identified with the most target genes. Furthermore, three miRNAs were significantly enriched in numerous common cancer-related pathways, including "Wnt signaling pathway", "MAPK signaling pathway" and "Jak-STAT signaling pathway". The present study identified a downregulation and enrichment in cancer-related pathways of hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p in Tibetan with gastric cancer, which can be suggested as therapeutic targets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Bachelor 3 17%
Professor 3 17%
Student > Master 3 17%
Researcher 2 11%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Chemistry 2 11%
Medicine and Dentistry 2 11%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 6 33%
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 23 December 2015.
All research outputs
#17,778,896
of 22,835,198 outputs
Outputs from Cancer Cell International
#984
of 1,801 outputs
Outputs of similar age
#264,352
of 388,813 outputs
Outputs of similar age from Cancer Cell International
#9
of 16 outputs
Altmetric has tracked 22,835,198 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 1,801 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 39th percentile – i.e., 39% 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 388,813 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 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.