Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine
Prostate cancer (PC) is one of the most common male cancers worldwide. Until now, there is no consensus about using urinary metabolomic profiling as novel biomarkers to identify PC. In this study, urine samples from 50 PC patients and 50 non-cancerous individuals (control group) were collected. Base...
| প্রধান লেখক: | , , , , , |
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| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
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MDPI AG
2021-01-01
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| মালা: | Diagnostics |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://www.mdpi.com/2075-4418/11/2/149 |
| _version_ | 1827599313937629184 |
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| author | Bo Yang Chuan Zhang Sheng Cheng Gonghui Li Jan Griebel Jochen Neuhaus |
| author_facet | Bo Yang Chuan Zhang Sheng Cheng Gonghui Li Jan Griebel Jochen Neuhaus |
| author_sort | Bo Yang |
| collection | DOAJ |
| description | Prostate cancer (PC) is one of the most common male cancers worldwide. Until now, there is no consensus about using urinary metabolomic profiling as novel biomarkers to identify PC. In this study, urine samples from 50 PC patients and 50 non-cancerous individuals (control group) were collected. Based on <sup>1</sup>H nuclear magnetic resonance (<sup>1</sup>H-NMR) analysis, 20 metabolites were identified. Subsequently, principal component analysis (PCA), partial least squares-differential analysis (PLS-DA) and ortho-PLS-DA (OPLS-DA) were applied to find metabolites to distinguish PC from the control group. Furthermore, Wilcoxon test was used to find significant differences between the two groups in metabolite urine levels. Guanidinoacetate, phenylacetylglycine, and glycine were significantly increased in PC, while L-lactate and L-alanine were significantly decreased. The receiver operating characteristics (ROC) analysis revealed that the combination of guanidinoacetate, phenylacetylglycine, and glycine was able to accurately differentiate 77% of the PC patients with sensitivity = 80% and a specificity = 64%. In addition, those three metabolites showed significant differences in patients stratified for Gleason score 6 and Gleason score ≥7, indicating potential use to detect significant prostate cancer. Pathway enrichment analysis using the KEGG (Kyoto Encyclopedia of Genes and Genomes) and the SMPDB (The Small Molecule Pathway Database) revealed potential involvement of KEGG “Glycine, Serine, and Threonine metabolism” in PC. The present study highlights that guanidinoacetate, phenylacetylglycine, and glycine are potential candidate biomarkers of PC. To the best knowledge of the authors, this is the first study identifying guanidinoacetate, and phenylacetylglycine as potential novel biomarkers in PC. |
| first_indexed | 2024-03-09T04:10:02Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T04:10:02Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-d12d3e5b65a94d05bc32b6f8dc76f9c32023-12-03T14:01:54ZengMDPI AGDiagnostics2075-44182021-01-0111214910.3390/diagnostics11020149Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of UrineBo Yang0Chuan Zhang1Sheng Cheng2Gonghui Li3Jan Griebel4Jochen Neuhaus5Department of Urology, University of Leipzig, 04103 Leipzig, GermanyDepartment of Urology, University of Leipzig, 04103 Leipzig, GermanyDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, ChinaDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, ChinaLeibniz Institute of Surface Engineering (IOM), Permoserstraße 15, 04318 Leipzig, GermanyDepartment of Urology, University of Leipzig, 04103 Leipzig, GermanyProstate cancer (PC) is one of the most common male cancers worldwide. Until now, there is no consensus about using urinary metabolomic profiling as novel biomarkers to identify PC. In this study, urine samples from 50 PC patients and 50 non-cancerous individuals (control group) were collected. Based on <sup>1</sup>H nuclear magnetic resonance (<sup>1</sup>H-NMR) analysis, 20 metabolites were identified. Subsequently, principal component analysis (PCA), partial least squares-differential analysis (PLS-DA) and ortho-PLS-DA (OPLS-DA) were applied to find metabolites to distinguish PC from the control group. Furthermore, Wilcoxon test was used to find significant differences between the two groups in metabolite urine levels. Guanidinoacetate, phenylacetylglycine, and glycine were significantly increased in PC, while L-lactate and L-alanine were significantly decreased. The receiver operating characteristics (ROC) analysis revealed that the combination of guanidinoacetate, phenylacetylglycine, and glycine was able to accurately differentiate 77% of the PC patients with sensitivity = 80% and a specificity = 64%. In addition, those three metabolites showed significant differences in patients stratified for Gleason score 6 and Gleason score ≥7, indicating potential use to detect significant prostate cancer. Pathway enrichment analysis using the KEGG (Kyoto Encyclopedia of Genes and Genomes) and the SMPDB (The Small Molecule Pathway Database) revealed potential involvement of KEGG “Glycine, Serine, and Threonine metabolism” in PC. The present study highlights that guanidinoacetate, phenylacetylglycine, and glycine are potential candidate biomarkers of PC. To the best knowledge of the authors, this is the first study identifying guanidinoacetate, and phenylacetylglycine as potential novel biomarkers in PC.https://www.mdpi.com/2075-4418/11/2/149prostate cancerurine metabolomics<sup>1</sup>H-Nuclear Magnetic Resonancemetabolite biomarkers |
| spellingShingle | Bo Yang Chuan Zhang Sheng Cheng Gonghui Li Jan Griebel Jochen Neuhaus Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine Diagnostics prostate cancer urine metabolomics <sup>1</sup>H-Nuclear Magnetic Resonance metabolite biomarkers |
| title | Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine |
| title_full | Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine |
| title_fullStr | Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine |
| title_full_unstemmed | Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine |
| title_short | Novel Metabolic Signatures of Prostate Cancer Revealed by <sup>1</sup>H-NMR Metabolomics of Urine |
| title_sort | novel metabolic signatures of prostate cancer revealed by sup 1 sup h nmr metabolomics of urine |
| topic | prostate cancer urine metabolomics <sup>1</sup>H-Nuclear Magnetic Resonance metabolite biomarkers |
| url | https://www.mdpi.com/2075-4418/11/2/149 |
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