Identification of Hub Genes and Therapeutic Targets in Lung Cancer Using Software Tools
S. Anbuselvi1★, S. Saranya1★ Corresponding author
- 1Department of Biotechnology, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, INDIA.
CORRESPONDENCE
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 · PUBLISHED May-Aug 2025 · DOI: 10.5530/ajbls.20251509
ABSTRACT
Background: Lung cancer remains a leading cause of cancer deaths. Objective: Identify hub genes associated with lung cancer via GEO curation and PPI/network analyses to prioritize therapeutic targets. Methods: Functional enrichment (DAVID, ShinyGO), druggability assessment (ChEMBL, Pharos). Results: Top hub genes and enriched pathways reported; chemokine receptor activity and T-cell receptor related functions highlighted. Conclusion: Prioritized hub genes provide resources for experimental validation.
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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
