title: Metabolic signatures of lung cancer in biofluids: NMR-based metabonomics of blood plasma.
abstract: In this work, the variations in the metabolic profile of blood plasma from lung cancer patients and healthy controls were investigated through NMR-based metabonomics, to assess the potential of this approach for lung cancer screening and diagnosis. PLS-DA modeling of CPMG spectra from plasma, subjected to Monte Carlo Cross Validation, allowed cancer patients to be discriminated from controls with sensitivity and specificity levels of about 90%. Relatively lower HDL and higher VLDL + LDL in the patients' plasma, together with increased lactate and pyruvate and decreased levels of glucose, citrate, formate, acetate, several amino acids (alanine, glutamine, histidine, tyrosine, valine), and methanol, could be detected. These changes were found to be present at initial disease stages and could be related to known cancer biochemical hallmarks, such as enhanced glycolysis, glutaminolysis, and gluconeogenesis, together with suppressed Krebs cycle and reduced lipid catabolism, thus supporting the hypothesis of a systemic metabolic signature for lung cancer. Despite the possible confounding influence of age, smoking habits, and other uncontrolled factors, these results indicate that NMR-based metabonomics of blood plasma can be useful as a screening tool to identify suspicious cases for subsequent, more specific radiological tests, thus contributing to improved disease management.
authors: CICECO, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
authors: Cláudia M
authors: CM
authors: Rocha
authors: Joana
authors: J
authors: Carrola
authors: António S
authors: AS
authors: Barros
authors: Ana M
authors: AM
authors: Gil
authors: Brian J
authors: BJ
authors: Goodfellow
authors: Isabel M
authors: IM
authors: Carreira
authors: João
authors: J
authors: Bernardo
authors: Ana
authors: A
authors: Gomes
authors: Vitor
authors: V
authors: Sousa
authors: Lina
authors: L
authors: Carvalho
authors: Iola F
authors: IF
authors: Duarte
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose; D005260:Female; D006801:Humans; D019344:Lactic Acid / Q000097:blood; D008074:Lipoproteins / Q000097:blood; D008175:Lung Neoplasms / Q000097:blood* / Q000737:chemistry; D008297:Male; D055442:Metabolome; D055432:Metabolomics; D008875:Middle Aged; D009010:Monte Carlo Method; D019906:Nuclear Magnetic Resonance, Biomolecular; D012372:ROC Curve; D015203:Reproducibility of Results; D014633:Valine / Q000097:blood
chemical_list: D001786:Blood Glucose; D008074:Lipoproteins; D019344:Lactic Acid; D014633:Valine