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Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
Yahong Xu1, Shunwen Luo, Yang Liu
1Department of Urology, the 452nd Hospital of People's Liberation Army, Chengdu 610021, China. xuyahong@medmail.com.cn.
Background:
Cancer is the result of a complex multistep process that involves the accumulation of sequential alterations of several genes, including those encoding microRNAs (miRNAs) that have critical roles in the regulation of gene expression.In this study, we aimed to predict potential mechanisms of bladder cancer related miRNAs and target genes by bioinformatics analyses.
Methods:
Here we used the method of text mining to identify nine miRNAs in bladder cancer and adopted protein-protein interaction analysis to identify interaction sites between these miRNAs and related-target genes.
Results:
There are two relationship types between bladder cancer and its related miRNAs: causal and unspecified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment test showed that there were three pathways related to four miRNA targeted genes. The remaining five miRNAs annotated to disease are not enriched in the KEGG pathways. Of these, PIK3R1 is the overlapping gene among 38 genes in the cancer and bladder cancer pathways.
Conclusions:
These findings provide new insights into the role of miRNAs in the pathway of cancer and give us a hypothesis that miR-127 might play a similar role in regulation and control of PIK3R1.
Insights
This study identifies microRNAs (miRNAs) and their target genes involved in bladder cancer using bioinformatics. Results suggest miR-127 may regulate PIK3R1, offering new insights into cancer pathways.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- Cancer arises from sequential genetic alterations, including microRNAs (miRNAs) crucial for gene regulation.
- Understanding miRNA roles in bladder cancer mechanisms is essential for therapeutic development.
Purpose of the Study:
- To predict potential mechanisms of bladder cancer-related miRNAs and their target genes using bioinformatics.
- To identify interactions between bladder cancer miRNAs and their target genes.
Main Methods:
- Text mining was employed to identify nine microRNAs (miRNAs) associated with bladder cancer.
- Protein-protein interaction analysis was used to determine interaction sites between miRNAs and target genes.
Main Results:
- Two relationship types (causal and unspecified) were found between bladder cancer and related miRNAs.
- Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis linked four miRNA-targeted genes to three pathways.
- PIK3R1 was identified as an overlapping gene in cancer and bladder cancer pathways.
Conclusions:
- The study provides novel insights into the role of miRNAs in cancer pathways.
- A hypothesis suggests miR-127 may play a regulatory role in PIK3R1, impacting bladder cancer progression.
