Oncometabolites in urine - a new opportunity for detection and prognosis of the clinical progress of verified prostate cancer-a pilot study.


Journal

Turkish journal of medical sciences
ISSN: 1303-6165
Titre abrégé: Turk J Med Sci
Pays: Turkey
ID NLM: 9441758

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 07 08 2021
accepted: 23 01 2021
entrez: 3 11 2022
pubmed: 4 11 2022
medline: 8 11 2022
Statut: ppublish

Résumé

Oncometabolites provide a new approach towards the diagnostics and prognosis of the clinical progress of prostate cancer (PCa). This study is about the diagnostic and predictive value of a panel of urinary oncometabolites (ethanolamine, kynurenine, β-alanine, α-alanine, leucine, isoleucine, γ-aminobutyric acid, and sarcosine) and correlation with prostate-specific antigen (PSA) and Gleason score in patients diagnosed with prostate cancer. The participants in this cross-sectional study were divided into PCa group (101 patients who matched the including criteria, average age 71) and control group (52 individuals, with no evidence of malignancy, without oncological and other chronic diseases, and without prostate gland pathology, average age 40). The criteria to be included in the PCa group were as follows: i) being diagnosed with prostate cancer, based on digital rectal examination (DRE), prostate ultrasound investigation, or biopsy; ii) not being subjected to a surgical or any other treatment; iii) not having any other concomitant oncological diseases, renal failure, diabetes mellitus. The urinary concentration of the selected metabolites was established through high-performance liquid chromatography with tandem mass spectrometry detection (HPLC-MS/MS). The comparison of both groups established a significantly different elevated concentration of ethanolamine, sarcosine and kynurenine, and a significantly different decreased concentration of β-alanine and isoleucine in PCa group. No changes of the values were detected in the PCa group with PSA levels below and above 10 ng/mL and Gleason score below and above 6 (p > 0.05). To test whether combination of several variables is more powerful in discriminating between PCa and control group multiple logistic regression analysis was performed. A model including ethanolamine, sarcosine, kynurenine, β-alanine, and isoleucine demonstrated negative predictive power (NPP) 76.2% and positive predictive power (PPP) 81.8%. Urinary concentrations of ethanolamine, sarcosine, kynurenine, β-alanine, and isoleucine in PCa group differ significantly from that of control group. New expanded population studies are needed to discuss our results.

Sections du résumé

BACKGROUND BACKGROUND
Oncometabolites provide a new approach towards the diagnostics and prognosis of the clinical progress of prostate cancer (PCa). This study is about the diagnostic and predictive value of a panel of urinary oncometabolites (ethanolamine, kynurenine, β-alanine, α-alanine, leucine, isoleucine, γ-aminobutyric acid, and sarcosine) and correlation with prostate-specific antigen (PSA) and Gleason score in patients diagnosed with prostate cancer.
METHODS METHODS
The participants in this cross-sectional study were divided into PCa group (101 patients who matched the including criteria, average age 71) and control group (52 individuals, with no evidence of malignancy, without oncological and other chronic diseases, and without prostate gland pathology, average age 40). The criteria to be included in the PCa group were as follows: i) being diagnosed with prostate cancer, based on digital rectal examination (DRE), prostate ultrasound investigation, or biopsy; ii) not being subjected to a surgical or any other treatment; iii) not having any other concomitant oncological diseases, renal failure, diabetes mellitus. The urinary concentration of the selected metabolites was established through high-performance liquid chromatography with tandem mass spectrometry detection (HPLC-MS/MS).
RESULTS RESULTS
The comparison of both groups established a significantly different elevated concentration of ethanolamine, sarcosine and kynurenine, and a significantly different decreased concentration of β-alanine and isoleucine in PCa group. No changes of the values were detected in the PCa group with PSA levels below and above 10 ng/mL and Gleason score below and above 6 (p > 0.05). To test whether combination of several variables is more powerful in discriminating between PCa and control group multiple logistic regression analysis was performed. A model including ethanolamine, sarcosine, kynurenine, β-alanine, and isoleucine demonstrated negative predictive power (NPP) 76.2% and positive predictive power (PPP) 81.8%.
DISCUSSION CONCLUSIONS
Urinary concentrations of ethanolamine, sarcosine, kynurenine, β-alanine, and isoleucine in PCa group differ significantly from that of control group. New expanded population studies are needed to discuss our results.

Identifiants

pubmed: 36326306
doi: 10.55730/1300-0144.5363
pmc: PMC10390161
doi:

Substances chimiques

Prostate-Specific Antigen EC 3.4.21.77
Sarcosine Z711V88R5F
Kynurenine 343-65-7
Isoleucine 04Y7590D77
Ethanolamines 0
beta-Alanine 11P2JDE17B

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

699-706

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Auteurs

Dimitar Delkov (D)

Department of Urology and General Medicine, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria.

Lyubka Yoanıdu (L)

Department of Bioorganic Chemistry, Faculty of Pharmacy, Medical University of Plovdiv, Plovdiv, Bulgaria.

Desislav Tomov (D)

Department of Bioorganic Chemistry, Faculty of Pharmacy, Medical University of Plovdiv, Plovdiv, Bulgaria.

Rumyana Stoyanova (R)

Department of Health Management and Health Economics, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria.

Ivan Dechev (I)

Urology Clinic, "St. George" Hospital, Plovdiv, Bulgaria.

Yordanka Uzunova (Y)

Department of Bioorganic Chemistry, Faculty of Pharmacy, Medical University of Plovdiv, Plovdiv, Bulgaria ; Research institute, Medical University of Plovdiv, Plovdiv, Bulgaria.

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Classifications MeSH