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Updated: Oct 27, 2025

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
Bioinformatics prediction of differential miRNAs in non-small cell lung cancer
Kui Xiao1,2,3, Shenggang Liu4, Yijia Xiao4
1Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Background:
Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.
Methods:
We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).
Results:
A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.
Conclusion:
Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.
Insights
This study identified hsa-mir-30a as a key microRNA in non-small cell lung cancer (NSCLC). This microRNA is differentially expressed and impacts NSCLC progression by regulating cell cycle and drug metabolism.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- Non-small cell lung cancer (NSCLC) constitutes 85% of all lung cancer cases.
- Increasing drug resistance in NSCLC presents a significant clinical challenge.
- Identifying novel biomarkers is crucial for advancing NSCLC treatment strategies.
Purpose of the Study:
- To screen for microRNAs (miRNAs) associated with non-small cell lung cancer (NSCLC) using bioinformatics analysis.
- To identify potential miRNA targets for future NSCLC therapeutic development.
- To elucidate the role of specific miRNAs in NSCLC pathogenesis.
Main Methods:
- Comparative analysis of NSCLC-related genes from TCGA and GEO databases to identify common miRNAs.
- Utilized Receiver Operating Characteristic (ROC) curve analysis and survival analysis for miRNA selection.
- Performed Gene Ontology (GO) and KEGG pathway enrichment analyses to determine miRNA functions.
Main Results:
- A total of 21 differentially expressed miRNAs were identified between the two databases.
- Hsa-mir-30a was selected based on ROC and survival analyses, showing higher expression in normal tissues than cancerous ones.
- Enrichment analysis indicated hsa-mir-30a's involvement in cell cycle regulation and drug metabolism pathways.
Conclusions:
- Hsa-mir-30a is significantly dysregulated in non-small cell lung cancer (NSCLC).
- This miRNA influences NSCLC progression primarily through the regulation of cell cycle and drug metabolism.
- Hsa-mir-30a represents a potential therapeutic target for overcoming drug resistance in NSCLC.
Related Concept Videos
MicroRNAs
MicroRNAs
lncRNA - Long Non-coding RNAs

