Plasma amino acids indicate glioblastoma with ATRX loss.
Ernest Jan BobeffDorota SzczesnaMichał BieńkowskiKarolina JanczarMalgorzata Chmielewska-KassassirKarol WiśniewskiWielisław PapierzLucyna Alicja WozniakDariusz Jan JaskólskiPublished in: Amino acids (2021)
Glioblastoma (GB) is the most common primary brain tumour in adults. The lack of molecular biomarker, non-specific symptoms and fast growth rate often result in a significant delay in diagnosis. Despite multimodal treatment, the prognosis remains poor. Here, we verified the hypothesis that amino acids (AA) regulating the critical metabolic pathways necessary for maintenance, growth, reproduction, and immunity of an organism, may constitute a favourable target in GB biomarker research. We measured the plasma amino acids levels in 18 GB patients and 15 controls and performed the quantitative and qualitative metabolomic analysis of free AA applying high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). We present both the raw data and the results of our statistical analysis. The majority of AA were lowered in the study group in comparison to the control group. Five of these (arginine, glutamic acid, glutamine, glycine, and histidine) differed significantly (all p < 10-5 and AUC > 0.9). Plasma levels of leucine and phenylalanine decreased in the case of GB with lost alpha-thalassemia/mental retardation X-linked (ATRX) expression on immunohistochemistry (p = 0.003 and 0.045, respectively). We demonstrated for the first time that certain plasma-free AA levels of GB patients were significantly different from those in healthy volunteers. Target profiling of plasma-free AA, identified utilizing LC-QTOF-MS, may present prognostic value by indicating GB patients with lost ATRX expression. The on-going quest for glioma biomarkers still aims to determine the detailed metabolic profile and evaluate its impact on therapy and prognosis.
Keyphrases
- mass spectrometry
- amino acid
- high performance liquid chromatography
- ms ms
- end stage renal disease
- simultaneous determination
- ejection fraction
- newly diagnosed
- poor prognosis
- multiple sclerosis
- tandem mass spectrometry
- peritoneal dialysis
- prognostic factors
- high resolution
- systematic review
- solid phase extraction
- nitric oxide
- liquid chromatography
- stem cells
- electronic health record
- single cell
- brain injury
- binding protein
- bone marrow
- white matter
- big data
- sleep quality
- resting state
- mesenchymal stem cells
- sickle cell disease