Rapid Prostate Cancer Noninvasive Biomarker Screening Using Segmented Flow Mass Spectrometry-Based Untargeted Metabolomics.
Frederico G PintoIqbal MahmudTaylor A HarmonVanessa Y RubioTimothy J GarrettPublished in: Journal of proteome research (2020)
Spectrometric methods with rapid biomarker detection capacity through untargeted metabolomics are becoming essential in the clinical cancer research. Liquid chromatography-mass spectrometry (LC-MS) is a rapidly developing metabolomic-based biomarker technique due to its high sensitivity, reproducibility, and separation efficiency. However, its translation to clinical diagnostics is often limited due to long data acquisition times (∼20 min/sample) and laborious sample extraction procedures when employed for large-scale metabolomics studies. Here, we developed a segmented flow approach coupled with high-resolution mass spectrometry (SF-HRMS) for untargeted metabolomics, which has the capability to acquire data in less than 1.5 min/sample with robustness and reproducibility relative to LC-HRMS. The SF-HRMS results demonstrate the capability for screening metabolite-based urinary biomarkers associated with prostate cancer (PCa). The study shows that SF-HRMS-based global metabolomics has the potential to evolve into a rapid biomarker screening tool for clinical research.
Keyphrases
- liquid chromatography
- high resolution mass spectrometry
- mass spectrometry
- prostate cancer
- ultra high performance liquid chromatography
- tandem mass spectrometry
- gas chromatography
- loop mediated isothermal amplification
- simultaneous determination
- high performance liquid chromatography
- capillary electrophoresis
- high resolution
- solid phase extraction
- radical prostatectomy
- electronic health record
- risk assessment
- machine learning
- deep learning
- human health
- sensitive detection
- lymph node metastasis
- quantum dots