Integrated Network Analysis Reveals FOXM1 and MYBL2 as Key Regulators of Cell Proliferation in Non-small Cell Lung Cancer
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Updated: Jan 4, 2026

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
Published on: March 30, 2019
Firoz Ahmed1,2
1Department of Biochemistry, University of Jeddah, Jeddah, Saudi Arabia.
Abstract:
Background: Loss of control on cell division is an important factor for the development of non-small cell lung cancer (NSCLC), however, its molecular mechanism and gene regulatory network are not clearly understood. This study utilized the systems bioinformatics approach to reveal the "driver-network" involve in tumorigenic processes in NSCLC. Methods: A meta-analysis of gene expression data of NSCLC was integrated with protein-protein interaction (PPI) data to construct an NSCLC network. MCODE and iRegulone were used to identify the local clusters and its upstream transcription regulators involve in NSCLC. Pair-wise gene expression correlation was performed using GEPIA. The survival analysis was performed by the Kaplan-Meier plot. Results: This study identified a local "driver-network" with highest MCODE score having 26 up-regulated genes involved in the process of cell proliferation in NSCLC. Interestingly, the "driver-network" is under the regulation of TFs FOXM1 and MYBL2 as well as miRNAs. Furthermore, the overexpression of member genes in "driver-network" and the TFs are associated with poor overall survival (OS) in NSCLC patients. Conclusion: This study identified a local "driver-network" and its upstream regulators responsible for the cell proliferation in NSCLC, which could be promising biomarkers and therapeutic targets for NSCLC treatment.
Insights
Researchers identified a key gene network driving cell proliferation in non-small cell lung cancer (NSCLC). This network and its regulators may serve as novel biomarkers and therapeutic targets for NSCLC treatment.
Area of Science:
- Oncology
- Bioinformatics
- Molecular Biology
Background:
- Uncontrolled cell division is crucial in non-small cell lung cancer (NSCLC) development.
- The precise molecular mechanisms and gene regulatory networks underlying NSCLC tumorigenesis remain incompletely understood.
Purpose of the Study:
- To employ a systems bioinformatics approach to uncover the "driver-network" implicated in NSCLC tumorigenic processes.
- To identify key regulatory elements controlling this network.
Main Methods:
- Meta-analysis of NSCLC gene expression data integrated with protein-protein interaction (PPI) data to build an NSCLC network.
- Utilized MCODE and iRegulon for identifying significant local clusters and their upstream transcription regulators (TFs).
- GEPIA for gene expression correlation analysis and Kaplan-Meier plots for survival analysis.
Main Results:
- A significant "driver-network" comprising 26 upregulated genes, primarily involved in cell proliferation, was identified.
- This network is regulated by transcription factors FOXM1 and MYBL2, along with microRNAs (miRNAs).
- Overexpression of genes within the "driver-network" and the identified TFs correlates with poorer overall survival in NSCLC patients.
Conclusions:
- A specific "driver-network" and its upstream regulators controlling cell proliferation in NSCLC have been identified.
- These findings suggest potential utility of the identified network and regulators as biomarkers and therapeutic targets for NSCLC.
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