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- Title
Plasma Sarcosine Measured by Gas Chromatography-Mass Spectrometry Distinguishes Prostatic Intraepithelial Neoplasia and Prostate Cancer from Benign Prostate Hyperplasia.
- Authors
Markin, Pavel A; Brito, Alex; Moskaleva, Natalia; Fodor, Miguel; Lartsova, Ekaterina V; Shpot, Yevgeny V; Lerner, Yulia V; Mikhajlov, Vasily Y; Potoldykova, Natalia V; Enikeev, Dimitry V; Lyundup, Alexey V; Appolonova, Svetlana A
- Abstract
Objective Sarcosine was postulated in 2009 as a biomarker for prostate cancer (PCa). Here, we assess plasma sarcosine as a biomarker that is complementary to prostate-specific antigen (PSA). Methods Plasma sarcosine was measured using gas chromatography-mass spectrometry (GC-MS) in adults classified as noncancerous controls (with benign prostate hyperplasia [BPH], n = 36), with prostatic intraepithelial neoplasia (PIN, n = 16), or with PCa (n = 27). Diagnostic accuracy was assessed using receiver operating characteristic curve analysis. Results Plasma sarcosine levels were higher in the PCa (2.0 µM [1.3–3.3 µM], P <.01) and the PIN (1.9 µM [1.2–6.5 µM], P <.001) groups than in the BPH (0.9 µM [0.6–1.4 µM]) group. Plasma sarcosine had "good" and "very good" discriminative capability to detect PIN (area under the curve [AUC], 0.734) and PCa (AUC, 0.833) versus BPH, respectively. The use of PSA and sarcosine together improved the overall diagnostic accuracy to detect PIN and PCa versus BPH. Conclusion Plasma sarcosine measured by GC-MS had "good" and "very good" classification performance for distinguishing PIN and PCa, respectively, relative to noncancerous patients diagnosed with BPH.
- Subjects
ANALYSIS of covariance; BIOPSY; BLOOD collection; COMPARATIVE studies; CONFIDENCE intervals; DIFFERENTIAL diagnosis; GAS chromatography; GLYCINE; IMMUNOASSAY; MASS spectrometry; SCIENTIFIC observation; PROSTATE tumors; RESEARCH funding; STATISTICS; TUMOR markers; BENIGN prostatic hyperplasia; PROSTATE-specific antigen; DATA analysis; RECEIVER operating characteristic curves; CARCINOMA in situ; DATA analysis software; DESCRIPTIVE statistics; MANN Whitney U Test; KRUSKAL-Wallis Test
- Publication
Laboratory Medicine, 2020, Vol 51, Issue 6, p566
- ISSN
0007-5027
- Publication type
Article
- DOI
10.1093/labmed/lmaa008