Literature DB >> 26358139

Current biomarkers for diagnosing of prostate cancer.

Carsten Stephan1,2, Klaus Jung1,2, Bernhard Ralla1.   

Abstract

Prostate cancer (PCa) is mostly detected by prostate-specific antigen (PSA) as one of the most widely used tumor markers. But PSA is limited with its low specificity. The prostate health index (phi) can improve specificity over percent free and total PSA and correlates with aggressive cancer. The urinary PCA3 also shows its utility to detect PCa but its correlation with aggressiveness and the low sensitivity at high values are limitations. While the detection of alterations of the androgen-regulated TMPRSS2 and ETS transcription factor genes in tissue of ˜50% of all PCa patients was one research milestone, the urinary assay should only be used in combination with PCA3. Both US FDA-approved markers phi and PCA3 perform equally.

Entities:  

Keywords:  AUC; ETS; PCA3; PSA; PSA limitations; PSA subforms; ROC analysis; TMPRSS2; cancer; free PSA; kallikreins; phi; prostate; prostate biopsy; prostate volume; sarcosine; sensitivity; specificity; tumor marker; urine

Mesh:

Substances:

Year:  2015        PMID: 26358139     DOI: 10.2217/fon.15.203

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  3 in total

1.  Identification of Clinically Significant Prostate Cancer by Combined PCA3 and AMACR mRNA Detection in Urine Samples.

Authors:  Elena S Kotova; Yulia A Savochkina; Yuriy V Doludin; Alexander O Vasilyev; Elena A Prilepskay; Natalia V Potoldykova; Konstantin A Babalyan; Alexandra V Kanygina; Andrey O Morozov; Alexander V Govorov; Dmitry V Enikeev; Elena S Kostryukova; Elena N Ilina; Vadim M Govorun; Dmitry Y Pushkar; Elena I Sharova
Journal:  Res Rep Urol       Date:  2020-09-17

Review 2.  Approaches to the discovery of non-invasive urinary biomarkers of prostate cancer.

Authors:  Andrej Jedinak; Kevin R Loughlin; Marsha A Moses
Journal:  Oncotarget       Date:  2018-08-21

3.  Advances in Biomarkers for PCa Diagnostics and Prognostics-A Way towards Personalized Medicine.

Authors:  Carsten Stephan; Klaus Jung
Journal:  Int J Mol Sci       Date:  2017-10-20       Impact factor: 5.923

  3 in total

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