6533b85bfe1ef96bd12bb69f

RESEARCH PRODUCT

Serum metabolomic profiling facilitates the non-invasive identification of metabolic biomarkers associated with the onset and progression of non-small cell lung cancer

Joaquín DopazoLeonor Puchades-carrascoClara Pérez-ramblaAna BlascoFrancisco García-garcíaSilvia CalabuigRut LucasAntonio Pineda-lucenaEloisa Jantus-lewintreCarlos Camps

subject

0301 basic medicineGerontologyOncologyAdultMalemedicine.medical_specialtyLung NeoplasmsProton Magnetic Resonance SpectroscopyDiseaseNSCLC03 medical and health sciences0302 clinical medicineMetabolomicsInternal medicineCarcinoma Non-Small-Cell LungmedicineBiomarkers TumorHumansLung cancerAgedbusiness.industryNon invasivebiomarkersLipid metabolismMiddle Agedmedicine.diseasemetabolomicsPathophysiology030104 developmental biologyMetabolomic profilingOncology030220 oncology & carcinogenesisDisease ProgressionFemaleNon small cellprognosisbusinessResearch Paperearly diagnosis

description

Lung cancer (LC) is responsible for most cancer deaths. One of the main factors contributing to the lethality of this disease is the fact that a large proportion of patients are diagnosed at advanced stages when a clinical intervention is unlikely to succeed. In this study, we evaluated the potential of metabolomics by H-1-NMR to facilitate the identification of accurate and reliable biomarkers to support the early diagnosis and prognosis of non-small cell lung cancer (NSCLC). We found that the metabolic profile of NSCLC patients, compared with healthy individuals, is characterized by statistically significant changes in the concentration of 18 metabolites representing different amino acids, organic acids and alcohols, as well as different lipids and molecules involved in lipid metabolism. Furthermore, the analysis of the differences between the metabolic profiles of NSCLC patients at different stages of the disease revealed the existence of 17 metabolites involved in metabolic changes associated with disease progression. Our results underscore the potential of metabolomics profiling to uncover pathophysiological mechanisms that could be useful to objectively discriminate NSCLC patients from healthy individuals, as well as between different stages of the disease.

https://fundanet.iislafe.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=1496