Serum metabolomics can predict the outcome of first systematic transrectal prostate biopsy in patients with PSA < 10 ng/ml

被引：11

作者：

Andras, Iulia ^{[1
,2
]}

Crisan, Nicolae ^{[1
,2
]}

Vesa, Stefan ^{[3
]}

Rahota, Razvan ^{[2
]}

Romanciuc, Florina ^{[4
]}

Lazar, Andrei ^{[4
]}

Socaciu, Carmen ^{[4
]}

Matei, Deliu-Victor ^{[5
]}

de Cobelli, Ottavio ^{[5
]}

Bocsan, Ioan-Stelian ^{[6
]}

Coman, Radu-Tudor ^{[6
]}

机构：

[1] Iuliu Hatieganu Univ Med & Pharm, Dept Urol, Cluj Napoca, Romania

[2] Clin Municipal Hosp, Dept Urol, Cluj Napoca, Romania

[3] Iuliu Hatieganu Univ Med & Pharm, Dept Pharmacol Toxicol & Clin Pharmacol, Cluj Napoca, Romania

[4] SC Proplanta, Ctr Appl Biotechnol BIODIATECH, Cluj Napoca, Romania

[5] European Inst Oncol, Dept Urol, Milan, Italy

[6] Iuliu Hatieganu Univ Med & Pharm, Dept Epidemiol, Cluj Napoca, Romania

来源：

FUTURE ONCOLOGY | 2017年 / 13卷 / 20期

关键词：

biopsy; metabolomics; prediction score; prostate cancer; CANCER ERSPC; OVERDETECTION; BIOMARKERS; SARCOSINE; MARKERS;

D O I：

10.2217/fon-2017-0078

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Aim: To assess the predictive value of metabolomic analysis for the presence of prostate cancer (PCa) at first systematic biopsy. Patients & methods: Ninety serum samples from patients with suspicion for PCa were included. Targeted and nontargeted metabolomic analysis was performed. Results: Six metabolites were combined into a predictive score. A cutoff value of 0.528 for the metabolomic score showed a good accuracy for the prediction of PCa at biopsy (Area under the curve (AUC): 0.779; p < 0.001). These results were validated in a subgroup of patients, showing similar accuracy (p = 0.1). For patients with prostate specific antigen (PSA) less than 10 ng/ml, the score showed a Se 80.95%, Sp 64.52% for the detection of PCa at biopsy. Conclusion: Metabolomic analysis can predict the outcome of the first systematic biopsy.

引用

页码：1793 / 1800

页数：8

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