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Published on: March 1, 2024
Lung Cancer Gene Regulatory Network of Transcription Factors Related to the Hallmarks of Cancer
Beatriz Andrea Otálora-Otálora1,2, Liliana López-Kleine3, Adriana Rojas4
1Grupo de Investigación INPAC, Unidad de Investigación, Fundación Universitaria Sanitas, Bogotá 110131, Colombia.
Abstract:
The transcriptomic analysis of microarray and RNA-Seq datasets followed our own bioinformatic pipeline to identify a transcriptional regulatory network of lung cancer. Twenty-six transcription factors are dysregulated and co-expressed in most of the lung cancer and pulmonary arterial hypertension datasets, which makes them the most frequently dysregulated transcription factors. Co-expression, gene regulatory, coregulatory, and transcriptional regulatory networks, along with fibration symmetries, were constructed to identify common connection patterns, alignments, main regulators, and target genes in order to analyze transcription factor complex formation, as well as its synchronized co-expression patterns in every type of lung cancer. The regulatory function of the most frequently dysregulated transcription factors over lung cancer deregulated genes was validated with ChEA3 enrichment analysis. A Kaplan-Meier plotter analysis linked the dysregulation of the top transcription factors with lung cancer patients' survival. Our results indicate that lung cancer has unique and common deregulated genes and transcription factors with pulmonary arterial hypertension, co-expressed and regulated in a coordinated and cooperative manner by the transcriptional regulatory network that might be associated with critical biological processes and signaling pathways related to the acquisition of the hallmarks of cancer, making them potentially relevant tumor biomarkers for lung cancer early diagnosis and targets for the development of personalized therapies against lung cancer.
Insights
Researchers identified key transcription factors dysregulated in lung cancer, forming a network shared with pulmonary arterial hypertension. These factors may serve as biomarkers for early diagnosis and targets for personalized lung cancer therapies.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Lung cancer exhibits complex genetic alterations.
- Understanding transcriptional regulation is crucial for cancer therapy.
Purpose of the Study:
- To identify a transcriptional regulatory network in lung cancer.
- To investigate commonalities with pulmonary arterial hypertension.
- To find potential biomarkers and therapeutic targets.
Main Methods:
- Bioinformatic analysis of microarray and RNA-Seq datasets.
- Construction of co-expression and regulatory networks.
- ChEA3 enrichment and Kaplan-Meier plotter analyses.
Main Results:
- Identified 26 dysregulated and co-expressed transcription factors common to lung cancer and pulmonary arterial hypertension.
- Validated regulatory functions and linked top factors to patient survival.
- Revealed coordinated regulation by a transcriptional network.
Conclusions:
- Lung cancer shares a coordinated transcriptional regulatory network with pulmonary arterial hypertension.
- These networks involve key biological processes relevant to cancer hallmarks.
- Dysregulated transcription factors are potential biomarkers for early diagnosis and personalized lung cancer treatments.
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