Metabolic profiling of serum in patients with cartilage tumours using 1H-NMR spectroscopy: A pilot study

Liliana López-Garrido, Angel E. Bañuelos-Hernández, Elizabeth Pérez-Hernández, Romeo Tecualt-Gómez, Jorge Quiroz-Williams, Armando Ariza-Castolo, Elvia Becerra-Martínez, Nury Pérez-Hernández

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Cartilage-forming lesions include tumours that can vary in severity from benign enchondromas to high-grade malignant chondrosarcomas. Chondrosarcoma is the second most frequent malignant bone tumour, accounting for 20–30% of all malignant bone neoplasms. Surgery is the standard treatment for cartilage tumours (CTs); however, their incidental diagnosis and the difficult differentiation of low-grade lesions like chondrosarcoma grade I from benign entities like enchondroma are challenges for clinical management. In this sense, the search for circulating biomarkers for early detection and prognosis is an ongoing interest. Targeted metabolomics is a powerful tool that can propose potential biomarkers in biological fluids as well as help to discover disturbed metabolic pathways to reveal tumour pathogenesis. In this context, the aim of this study was to investigate the 1H nuclear magnetic resonance metabolomic serum profile of patients with CTs contrasted with healthy controls. Forty-one metabolites were identified and quantified; the multivariate statistical methods principal component analysis and partial least squares discriminant analysis reveal a clear separation of the CT group, that is, the differential metabolites that were involved in two main metabolic pathways: the taurine and hypotaurine metabolism and synthesis and degradation of ketone bodies. Our results represent preliminary work for emergent serum-based diagnostics or prognostic methods for patients with chondrogenic tumours.

Original languageEnglish
Pages (from-to)65-76
Number of pages12
JournalMagnetic Resonance in Chemistry
Volume58
Issue number1
DOIs
StatePublished - 1 Jan 2020

Keywords

  • H NMR
  • cartilage tumours
  • metabolic profiling
  • multivariate analysis
  • serum

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