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Rapid Prostate Cancer Noninvasive Biomarker Screening Using Segmented Flow Mass Spectrometry-Based Untargeted Metabolomics
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, reproducibi...
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Published in: | Journal of proteome research 2020-05, Vol.19 (5), p.2080-2091 |
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Language: | English |
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container_end_page | 2091 |
container_issue | 5 |
container_start_page | 2080 |
container_title | Journal of proteome research |
container_volume | 19 |
creator | Pinto, Frederico G Mahmud, Iqbal Harmon, Taylor A Rubio, Vanessa Y Garrett, Timothy J |
description | 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. |
doi_str_mv | 10.1021/acs.jproteome.0c00006 |
format | article |
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title | Rapid Prostate Cancer Noninvasive Biomarker Screening Using Segmented Flow Mass Spectrometry-Based Untargeted Metabolomics |
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