Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients

Lung cancer remains the leading cause of cancer-related mortality worldwide, underscoring the urgent need for non-invasive approaches to improve diagnosis, patient stratification, and therapeutic monitoring. Metabolic reprogramming driven by oncogenic alterations-particularly Epidermal Growth Factor Receptor (EGFR) mutations in non-small cell lung cancer (NSCLC)-creates distinctive plasma signatures with clinical relevance. In this study, plasma metabolomic profiling revealed that amino acid and sugar metabolism exhibited the strongest discriminatory patterns. NSCLC patients consistently showed elevated glycine and reduced tryptophan and inositol compared with healthy controls. Distinct amino acid and organic acid shifts further differentiated EGFR-mutated from wild-type NSCLC, while alterations in tryptophan, valine, and oxalic acid characterized patients with acquired resistance to EGFR tyrosine kinase inhibitors (TKIs). These findings underscore biologically relevant metabolic alterations associated with EGFR mutation and TKI resistance, supporting the potential of plasma metabolite profiles as minimally invasive indicators for molecular classification and treatment response in NSCLC.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2025-01-01
DOI
https://doi.org/10.1016/j.csbj.2025.10.010
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
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article

Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients

Yongyut Sirivatanauksorn, Naravat Poungvarin, Natthaporn Phonsatta, Atikorn Panya et al.
Computational and Structural Biotechnology Journal
Lung Cancer Treatments and Mutations
article

Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients

Yongyut Sirivatanauksorn, Naravat Poungvarin, Natthaporn Phonsatta, Atikorn Panya, Sakda Khoomrung, Lucksamon Thamlikitkul, Kwanjeera Wanichthanarak, Siriphan Manocheewa, Sujichon Thangvichien, Suphitcha Limjiasahapong
article en

Abstract

Lung cancer remains the leading cause of cancer-related mortality worldwide, underscoring the urgent need for non-invasive approaches to improve diagnosis, patient stratification, and therapeutic monitoring. Metabolic reprogramming driven by oncogenic alterations-particularly Epidermal Growth Factor Receptor (EGFR) mutations in non-small cell lung cancer (NSCLC)-creates distinctive plasma signatures with clinical relevance. In this study, plasma metabolomic profiling revealed that amino acid and sugar metabolism exhibited the strongest discriminatory patterns. NSCLC patients consistently showed elevated glycine and reduced tryptophan and inositol compared with healthy controls. Distinct amino acid and organic acid shifts further differentiated EGFR-mutated from wild-type NSCLC, while alterations in tryptophan, valine, and oxalic acid characterized patients with acquired resistance to EGFR tyrosine kinase inhibitors (TKIs). These findings underscore biologically relevant metabolic alterations associated with EGFR mutation and TKI resistance, supporting the potential of plasma metabolite profiles as minimally invasive indicators for molecular classification and treatment response in NSCLC.

Computational and Structural Biotechnology JournalVol. 27
Siriraj Hospital (TH), Mahidol University (TH), Kidney Disease Association of Thailand (TH), National Center for Genetic Engineering and Biotechnology (TH)
Openalex Percentile: Top 60%
Lung Cancer Treatments and Mutations
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Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients — Yongyut Sirivatanauksorn, Naravat Poungvarin, et al. · Computational and Structural Biotechnology Journal (2025) | TGRS Research Map | TGRS