Identification of Hub Genes and Therapeutic Targets in Lung Cancer Using Software Tools
1, 1
- 1Department of Biotechnology, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, INDIA.
CORRESPONDENCE
Dr. S. Anbuselvi
Department of Biotechnology, Bharath Institute of Higher Education and Research, Chennai.
Received: 12-02-2025; Revised: 09-04-2025; Accepted: 27-06-2025.
Volume 14, Issue 2 · pp. 400-409 · 2025 · DOI: 10.5530/ajbls.20251509
ABSTRACT
Background: Lung cancer remains one of the leading causes of cancer-related mortality globally, necessitating a deeper understanding of its molecular underpinnings.Objectives: This study aimed to identify hub genes associated with lung cancer through a systematic analysis of existing literature and databases.Materials and Methods: We curated a comprehensive Gene Expression Omnibus (GEO) dataset and identified key hub genes linked to lung cancer via PubMed resources. To assess the relevance of these hub genes, we conducted Protein-Protein Interaction (PPI) analysis through the DAVID database, selecting those with high enrichment values. Functional enrichment analysis was performed using DAVID, SHINY GO, and GO NET DICE to elucidate the biological processes and pathways associated with the identified hub genes. Additionally, we employed ChEMBL, Pharos, and Broad tools to assess druggability, integrating chemical, bioactivity, and genomic data. Functional gene partners were grouped to provide a clearer understanding of the interaction networks.Results: The genes were then ranked based on their involvement in various molecular functions, yielding insights into their potential roles in the pathology of lung cancer.Conclusion: This comprehensive analysis underscores critical gene interactions and functional pathways, offering promising targets for future research and therapeutic intervention in the treatment of lung cancer.
KEYWORDS
REFERENCES
As publishedShowing references and in-text citations exactly as published.
Cite this article
SELECT FORMAT
Anbuselvi, S., & Saranya, S. (2025). Identification of Hub Genes and Therapeutic Targets in Lung Cancer Using Software Tools. Asian Journal of Biological and Life Sciences, 14(2), 400-409. https://doi.org/10.5530/ajbls.20251509
Copyright and licence
© 2025 Author(s)
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. CC BY 4.0