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MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
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Identifying cancer-related microRNAs based on subpathways.
Wenbin Liu1, Zhendong Cui2, Xiangzhen Zan3
1Institute of Computational Science and Technology, Guangzhou University, Guangzhou, People's Republic of China. wbliu6910@126.com.
IET Systems Biology
|November 26, 2018
Summary
This study introduces miR_SubPath, a novel method to identify cancer-associated microRNAs (miRNAs) by analyzing gene expression in subpathways. The approach effectively identifies more relevant miRNAs compared to existing methods.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are key regulators of gene expression involved in various biological processes.
- miRNAs play a significant role in cancer development and progression.
- Identifying specific cancer-associated miRNAs is challenging due to complex miRNA-gene interactions.
Purpose of the Study:
- To develop a robust computational approach for identifying cancer-associated miRNAs.
- To overcome the limitations of existing methods in pinpointing specific miRNA-cancer relationships.
Main Methods:
- Proposed a novel three-step approach named miR_SubPath.
- Identified targeted genes from differentially expressed genes in dysfunctional subpathways.
- Determined candidate miRNAs based on miRNA-gene associations and ranked them using a functional similarity network.
Main Results:
- The miR_SubPath method demonstrated superior robustness in identifying cancer-related miRNAs.
- Outperformed existing methods such as miR_Path, miR_Clust, and Zhang's method in real-world dataset analyses.
- Successfully identified a greater number of cancer-associated miRNAs.
Conclusions:
- miR_SubPath offers a more effective strategy for discovering cancer-associated miRNAs.
- The method provides a valuable tool for cancer research and biomarker discovery.
- Highlights the importance of subpathway analysis in understanding miRNA functions in cancer.
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