Whole-exome sequencing analysis of NSCLC reveals the pathogenic missense variants from cancer-associated genes

Udhaya Kumar S1, Ambritha Balasundaram1, Hephzibah Cathryn R1

  • 1Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Abstract

Insights

This study identified 17 highly pathogenic variants in 14 genes linked to non-small-cell lung cancer (NSCLC). These findings advance understanding of NSCLC pathogenesis and support precision medicine approaches.

Area of Science:

  • Genomics
  • Oncology
  • Molecular Biology

Background:

  • Non-small-cell lung cancer (NSCLC) is the predominant form of lung cancer, accounting for 84% of cases.
  • Recent advancements in understanding cancer pathways, identifying genetic biomarkers, and developing targeted therapies have paved the way for personalized NSCLC treatment.

Purpose of the Study:

  • To identify genes associated with NSCLC that harbor pathogenic variants potentially causing the disease.
  • To investigate the roles of these identified genes and their variants in various NSCLC-related pathways.

Main Methods:

  • Exome sequencing data from 54 NSCLC patients were analyzed to identify associated variants.
  • Gene set enrichment analysis and pathway analysis were performed to understand the functional roles of identified genes.
  • Protein-protein interaction (PPI) analysis was utilized to identify genes with pathogenic single nucleotide polymorphisms (SNPs).

Main Results:

  • Seventeen highly pathogenic variants were identified across 14 genes, including CDKN2A, ERBB2, K-Ras, and TP53.
  • Enrichment analysis highlighted involvement in transmembrane receptor protein tyrosine kinase activity, ATP binding, and PI3K-Akt signaling pathways.
  • Three deleterious SNPs (ERBB2, K-Ras, POLE) were noted, with one patient exhibiting co-occurring pathogenic variants in K-Ras and TSC1.

Conclusions:

  • This research maps key pathogenic variants in NSCLC, elucidating their contribution to disease development.
  • The findings underscore the potential for precision medicine strategies in managing NSCLC patients based on their genetic profiles.

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