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

dc.contributor.authorThamlikitkul L.
dc.contributor.authorWanichthanarak K.
dc.contributor.authorManocheewa S.
dc.contributor.authorLimjiasahapong S.
dc.contributor.authorPhonsatta N.
dc.contributor.authorThangvichien S.
dc.contributor.authorPanya A.
dc.contributor.authorSirivatanauksorn Y.
dc.contributor.authorPoungvarin N.
dc.contributor.authorKhoomrung S.
dc.contributor.correspondenceThamlikitkul L.
dc.contributor.otherMahidol University
dc.date.accessioned2025-10-17T18:12:37Z
dc.date.available2025-10-17T18:12:37Z
dc.date.issued2025-01-01
dc.description.abstractLung 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.
dc.identifier.citationComputational and Structural Biotechnology Journal Vol.27 (2025) , 4321-4331
dc.identifier.doi10.1016/j.csbj.2025.10.010
dc.identifier.eissn20010370
dc.identifier.scopus2-s2.0-105018173364
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/112629
dc.rights.holderSCOPUS
dc.subjectBiochemistry, Genetics and Molecular Biology
dc.subjectComputer Science
dc.titlePlasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105018173364&origin=inward
oaire.citation.endPage4331
oaire.citation.startPage4321
oaire.citation.titleComputational and Structural Biotechnology Journal
oaire.citation.volume27
oairecerif.author.affiliationSiriraj Hospital
oairecerif.author.affiliationFaculty of Science, Mahidol University
oairecerif.author.affiliationThailand National Center for Genetic Engineering and Biotechnology
oairecerif.author.affiliationThailand Metabolomics Society

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