Literature DB >> 21626193

GC/MS-based metabolomic approach to validate the role of urinary sarcosine and target biomarkers for human prostate cancer by microwave-assisted derivatization.

Hao Wu1, Taotao Liu, Chunguang Ma, Ruyi Xue, Chunhui Deng, Huazong Zeng, Xizhong Shen.   

Abstract

A recent study showed that sarcosine may be potentially useful for the diagnosis and prognosis of prostate cancer (PCa). The aim of this study was to validate diagnostic value of sarcosine for PCa, to evaluate urine metabolomic profiles in patients with PCa in comparison of non-cancerous control, and to further explore the other potential metabolic biomarkers for PCa. Isotope dilution gas chromatography/mass spectrometry (ID GC/MS) metabolomic approach was applied to evaluate sarcosine using [methyl-D(3)]-sarcosine as an internal standard. Microwave-assisted derivatization (MAD) together with GC/MS was utilized to obtain the urinary metabolomic information in 20 PCa patients compared with eight patients with benign prostate hypertrophy and 20 healthy men. Acquired metabolomic data were analyzed using a two-sample t test. Diagnostic models for PCa were constructed using principal component analysis and were assessed with receiver-operating characteristic curves. Results showed that the urinary sarcosine level has no statistical difference between the PCa group and the control group. In addition, nine metabolomic markers between the PCa group and the healthy male group were selected, which constructed a diagnostic model with a high area under the curve value of 0.9425. We conclude that although urinary sarcosine value has limited potential in the diagnostic algorithm of PCa, urinary metabolomic panel based on GC/MS assay following MAD may potentially become a diagnostic tool for PCa.

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Year:  2011        PMID: 21626193     DOI: 10.1007/s00216-011-5098-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  34 in total

Review 1.  Application of metabolomics to prostate cancer.

Authors:  Bruce J Trock
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

2.  Metabolic alterations in the sera of Chinese patients with mild persistent asthma: a GC-MS-based metabolomics analysis.

Authors:  Chun Chang; Zhi-guo Guo; Bei He; Wan-zhen Yao
Journal:  Acta Pharmacol Sin       Date:  2015-11       Impact factor: 6.150

Review 3.  Metabolomic profiling of hormone-dependent cancers: a bird's eye view.

Authors:  Stacy M Lloyd; James Arnold; Arun Sreekumar
Journal:  Trends Endocrinol Metab       Date:  2015-08-01       Impact factor: 12.015

4.  Recognition of early and late stages of bladder cancer using metabolites and machine learning.

Authors:  Valentina L Kouznetsova; Elliot Kim; Eden L Romm; Alan Zhu; Igor F Tsigelny
Journal:  Metabolomics       Date:  2019-06-20       Impact factor: 4.290

Review 5.  Metabolomic imaging of prostate cancer with magnetic resonance spectroscopy and mass spectrometry.

Authors:  Eva-Margarete Spur; Emily A Decelle; Leo L Cheng
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-04-03       Impact factor: 9.236

Review 6.  Circulating metabolite biomarkers: a game changer in the human prostate cancer diagnosis.

Authors:  Sabareeswaran Krishnan; Shruthi Kanthaje; Devasya Rekha Punchappady; M Mujeeburahiman; Chandrahas Koumar Ratnacaram
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-28       Impact factor: 4.553

Review 7.  Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Authors:  Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-06       Impact factor: 4.254

8.  Prospective evaluation of serum sarcosine and risk of prostate cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.

Authors:  Stella Koutros; Tamra E Meyer; Stephen D Fox; Haleem J Issaq; Timothy D Veenstra; Wen-Yi Huang; Kai Yu; Demetrius Albanes; Lisa W Chu; Gerald Andriole; Robert N Hoover; Ann W Hsing; Sonja I Berndt
Journal:  Carcinogenesis       Date:  2013-05-22       Impact factor: 4.944

Review 9.  Biomarkers in Prostate Cancer Diagnosis: From Current Knowledge to the Role of Metabolomics and Exosomes.

Authors:  Stefano Salciccia; Anna Laura Capriotti; Aldo Laganà; Stefano Fais; Mariantonia Logozzi; Ettore De Berardinis; Gian Maria Busetto; Giovanni Battista Di Pierro; Gian Piero Ricciuti; Francesco Del Giudice; Alessandro Sciarra; Peter R Carroll; Matthew R Cooperberg; Beatrice Sciarra; Martina Maggi
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

10.  Urine metabolic profile changes of CCl4-liver fibrosis in rats and intervention effects of Yi Guan Jian Decoction using metabonomic approach.

Authors:  Xiaojun Gou; Qing Tao; Qin Feng; Jinghua Peng; Yu Zhao; Jianye Dai; Wenyu Wang; Yongyu Zhang; Yiyang Hu; Ping Liu
Journal:  BMC Complement Altern Med       Date:  2013-06-03       Impact factor: 3.659

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