Article

Identification of Hub Genes and Therapeutic Targets in Lung Cancer Using Software Tools

S. Anbuselvi1★, S. Saranya1★ Corresponding author

  1. 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.

drsanbuselvi@gmail.com

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

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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