ArticleScientific reports2020
Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- In vitro and in silico studies and a systematic literature review of antiglycation properties of amlodipine.Scientific reports · 2025Pooled it
- Systemic Oxidative and Nitrosative Stress in Benign Prostatic Hyperplasia.Antioxidants (Basel, Switzerland) · 2026Article
- Article
- Article
- Shedding light on the shadows: oxidative stress and its pivotal role in prostate cancer progression.Frontiers in oncology · 2024Article
- Oxidative stress biomarkers in dogs with benign prostatic hyperplasia.Irish veterinary journal · 2022Article
- imPlatelet classifier: image-converted RNA biomarker profiles enable blood-based cancer diagnostics.Molecular oncology · 2021Article
- Oxidative stress and redox signaling in CRPC progression: therapeutic potential of clinically-tested Nrf2-activators.Cancer drug resistance (Alhambra, Calif.) · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benign prostate hyperplasia (BPH), and 64 healthy controls (HC) and assayed plasma prostate-specific antigen (PSA), protein thiol (-SH) groups, lipid hydroperoxides, carbonyl proteins (PCB), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant parameter (TRAP). -SH groups were significantly and inversely associated with PSA levels. PCa was characterized by lowered -SH groups and red blood cell TRAP levels, and higher PSA, AOPP and PCB levels as compared with BPH and HC. Support vector machine with 10-fold cross-validation showed that PSA values together with -SH groups, PCB and AOPP yielded a cross-validation accuracy of 96.34% for the differentiation of PCa from BPH and HC. The area under the ROC curve using PSA and -SH differentiating PCa from BPH and controls was 0.945. Moreover, lowered -SH, but not PSA, are associated with PCa metastasis and progression. Inflammatory biomarkers were not associated with PCa or BPH. PCa, its progression and metastatic PCa are characterized by lowered antioxidant defenses, especially lowered thiol groups, and increased oxidative stress toxicity, suggesting that these processes play a key role in the pathophysiology of PCa. An algorithm based on -SH and PSA values may be used to differentiate patients with PCa from those with BPH and controls.
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