Cancers · 2020 · 30 citations · 16 references
MedicineOncologyUrologyGenitourinary OncologyMetabolomicsUrologic OncologyBiomarker AnalysisBiomarker ValidationBladder CancerCancer BiomarkersProstate CancerUrologic Cancer DiagnosisIndependent Cohort ValidationProstate Cancer DiagnosisProstate Disease BiomarkersProstatic BiomarkersRenal Cell Carcinoma BiomarkersUrinary Metabolite ProfilingUrine BiomarkersUrine-based Cancer Detection
Our group recently developed a urinary 6-biomarker panel for the diagnosis of prostate cancer (PCa) which has a higher level of accuracy compared to the serum prostate specific antigen (PSA) test. Herein, urine from an independent cohort of PCa patients and cancer-free controls was analyzed to further validate the discriminative power of that panel. Additionally, urine from patients diagnosed with bladder cancer (BC) and renal cancer (RC) were included to evaluate the site-specificity of the panel. Results confirmed the ability of the 6-biomarker panel to discriminate PCa patients from controls, but not from other urological cancers. To overcome this limitation, an untargeted approach was performed to unveil discriminant metabolites among the three cancer types. A 10-biomarker panel comprising the original panel plus four new metabolites was established to discriminate PCa from controls, BC, and RC, with 76% sensitivity, 90% specificity, and 92% accuracy. This improved panel also disclosed better accuracy than serum PSA test and provides the basis for a new non-invasive early detection tool for PCa.
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Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2019 · 21K citations · Full text
MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
Jasmine Chong, Othman Soufan, Carin Li et al. · Nucleic Acids Research · 2018 · 3.8K citations · Full text
Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression
Arun Sreekumar, Laila Poisson, Thekkelnaycke M. Rajendiran et al. · Nature · 2009 · 2.2K citations · Full text
Medicine, Cancer Biology, Oncology +16