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Updated: Mar 28, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Bioinformatics identification of potentially involved microRNAs in Tibetan with gastric cancer based on microRNA
Yushuang Luo1,2, Chengwu Zhang3, Feng Tang1
1Research Center for High Altitude Medicine, Qinghai University of Medical School, Kunlong Road 16, Xining, 810001 China.
Objective:
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.
Methods:
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.
Results:
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".
Conclusions:
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.
Insights
This study identified specific microRNAs (miRNAs) that are down-regulated in Tibetan gastric cancer patients. These miRNAs, including hsa-miR-148a-3p, may serve as potential therapeutic targets for gastric cancer.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Gastric cancer incidence is notably high among the Tibetan population.
- MicroRNAs (miRNAs) play crucial roles in cellular processes and cancer development.
- Understanding miRNA expression in Tibetan gastric cancer is vital for identifying therapeutic strategies.
Purpose of the Study:
- To identify differentially expressed microRNAs (miRNAs) in gastric cancer tissues from Tibetan patients.
- To investigate the potential roles of these miRNAs in gastric cancer pathogenesis.
- To predict potential therapeutic targets for Tibetan gastric cancer.
Main Methods:
- Gastric cancer and adjacent non-cancerous tissue samples were collected from 10 Tibetan patients.
- MicroRNA expression profiling was performed using Affymetrix GeneChip microRNA 3.0 Array.
- Differential expression analysis, target gene prediction (MultiMiR), and pathway enrichment analysis (DAVID) were conducted.
Main Results:
- A total of 27 differentially expressed miRNAs were identified, with 25 down-regulated and 2 up-regulated.
- Key down-regulated miRNAs include hsa-miR-148a-3p, hsa-miR-148b-3p, and hsa-miR-363-3p, which have numerous predicted target genes.
- These miRNAs were significantly enriched in cancer-related pathways such as Wnt signaling, MAPK signaling, and Jak-STAT signaling.
Conclusions:
- Hsa-miR-148a-3p, hsa-miR-148b-3p, and hsa-miR-363-3p are significantly down-regulated in Tibetan gastric cancer.
- The enrichment of these miRNAs in cancer-related pathways suggests their involvement in gastric cancer development.
- These down-regulated miRNAs represent potential therapeutic targets for gastric cancer in the Tibetan population.
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