Literature DB >> 21321584

Efforts to resolve the contradictions in early diagnosis of prostate cancer: a comparison of different algorithms of sarcosine in urine.

D-L Cao1, D-W Ye, Y Zhu, H-L Zhang, Y-X Wang, X-D Yao.   

Abstract

Controversial data on sarcosine as a promising biomarker for prostate cancer (PCa) detection are present. The objective was to clarify these discrepancies and reevaluate the potential value of sarcosine in PCa. Sarcosine algorithms (supernatant and sediment sarcosine/creatinine, supernatant and sediment log2 (sarcosine/alanine)) in urine samples from 71 untreated patients with PCa, 39 patients with no evidence of malignancy (NEM) and 20 healthy women and men were quantified by liquid chromatography/tandem mass spectrometry. Although any sarcosine algorithms were significantly higher in PCa patients than in NEM patients (all P<0.05), comparable sarcosine values were measured in healthy women and men. Additionally, neither biopsy Gleason score nor clinical T-stage were correlated with sarcosine algorithms (all P>0.05), and receiver operating characteristic curve analysis indicated that the diagnostic power of any of sarcosine algorithms was nonsignificantly higher than that of serum and urine PSA, but nonsignificantly lower than prostate cancer antigen 3 (PCA3) and the percent-free PSA (%fPSA). Improved diagnostic performances were observed when any of sarcosine algorithms was combined with PCA3 or %fPSA. In conclusion, the predictive power of sarcosine in PCa is modest compared with PCA3 and %fPSA. Sarcosine, which awaits more validation before it reaches the clinic, could be included into the list of candidate PCa biomarkers.

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Year:  2011        PMID: 21321584     DOI: 10.1038/pcan.2011.2

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  21 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.  Exclusive recognition of sarcosine in water and urine by a cavitand-functionalized silicon surface.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

3.  Sarcosine: the saga continues...

Authors:  Annette Fenner
Journal:  Nat Rev Urol       Date:  2011-04       Impact factor: 14.432

4.  Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer.

Authors:  Roopa Thapar; Mark A Titus
Journal:  Curr Metabolomics       Date:  2014-04

Review 5.  Molecular diagnostic trends in urological cancer: biomarkers for non-invasive diagnosis.

Authors:  V Urquidi; C J Rosser; S Goodison
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

6.  TMEFF2 and SARDH cooperate to modulate one-carbon metabolism and invasion of prostate cancer cells.

Authors:  Thomas Green; Xiaofei Chen; Stephen Ryan; Adam S Asch; Maria J Ruiz-Echevarría
Journal:  Prostate       Date:  2013-07-03       Impact factor: 4.104

Review 7.  Urinary Biomarkers in Tumors: An Overview.

Authors:  Ilaria Cimmino; Sara Bravaccini; Claudio Cerchione
Journal:  Methods Mol Biol       Date:  2021

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

9.  The role of sarcosine metabolism in prostate cancer progression.

Authors:  Amjad P Khan; Thekkelnaycke M Rajendiran; Bushra Ateeq; Irfan A Asangani; Jyoti N Athanikar; Anastasia K Yocum; Rohit Mehra; Javed Siddiqui; Ganesh Palapattu; John T Wei; George Michailidis; Arun Sreekumar; Arul M Chinnaiyan
Journal:  Neoplasia       Date:  2013-05       Impact factor: 5.715

Review 10.  Biomarkers in localized prostate cancer.

Authors:  Matteo Ferro; Carlo Buonerba; Daniela Terracciano; Giuseppe Lucarelli; Vincenzo Cosimato; Danilo Bottero; Victor M Deliu; Pasquale Ditonno; Sisto Perdonà; Riccardo Autorino; Ioman Coman; Sabino De Placido; Giuseppe Di Lorenzo; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-01-15       Impact factor: 3.404

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