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Updated: Sep 6, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
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.
Background:
Non-small-cell lung cancer (NSCLC) is the most common type of lung cancer. NSCLC accounts for 84% of all lung cancer cases. In recent years, advances in pathway understanding, methods for discovering novel genetic biomarkers, and new drugs designed to inhibit the signaling cascades have enabled clinicians to personalize therapy for NSCLC.
Objectives:
The primary aim of this study is to identify the genes associated with NSCLC that harbor pathogenic variants that could be causative for NSCLC. The second aim is to investigate their roles in different pathways that lead to NSCLC.
Methods:
We examined exome-sequencing datasets from 54 NSCLC patients to characterize the variants associated with NSCLC.
Results:
Our findings revealed that 17 variants in 14 genes were considered highly pathogenic, including CDKN2A, ERBB2, FOXP1, IDH1, JAK3, KMT2D, K-Ras, MSH3, MSH6, POLE, RNF43, TCF7L2, TP53, and TSC1. Gene set enrichment analysis revealed the involvement of transmembrane receptor protein tyrosine kinase activity, protein binding, ATP binding, phosphatidylinositol-4,5-bisphosphate 3-kinase, and Ras guanyl-nucleotide exchange factor activity. Pathway analysis of these genes yielded different cancer-related pathways, including colorectal, prostate, endometrial, pancreatic, PI3K-Akt signaling pathways, and signaling pathways regulating pluripotency of stem cells. Module 1 from protein-protein interactions (PPIs) identified genes that harbor pathogenic SNPs. Three of the most deleterious SNPs are ERBB2 (rs1196929947), K-Ras (rs121913529), and POLE (rs751425952). Interestingly, one patient has a pathogenic K-Ras variant (rs121913529) co-occurred with the missense variant (rs752054698) inTSC1 gene.
Conclusion:
This study maps highly pathogenic variants associated with NSCLC and investigates their contributions to the pathogenesis of NSCLC. This study sheds light on the potential applications of precision medicine in patients with NSCLC.
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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