Literature DB >> 21405964

Progensa™ PCA3 test for prostate cancer.

Xavier Durand1, Stephane Moutereau, Evanguelos Xylinas, Alexandre de la Taille.   

Abstract

The lack of accuracy from typical prostate cancer diagnostic tools led us to investigate new biomarkers. Prostate cancer gene 3 (PCA3 or DD3) is a promising urinary biomarker of prostate cancer. This specific noncoding mRNA is highly overexpressed in more than 95% of primary prostate tumors. The feasibility of a PCA3 gene-based molecular assay based on the detection of prostate cancer cells in urine has been demonstrated, and a quantitative PCA3 urine test with the potential for general use in clinical settings was developed; the Progensa™ (Gen-Probe Inc., San Diego, CA, USA) PCA3 urine test. Current data from the literature demonstrate the superiority of the PCA3 score over prostate-specific antigen, in terms of predictive value and specificity, albeit with a slightly lower sensitivity. These results are particularly encouraging for the specific population of patients who have a first negative biopsy, as a PCA3 assay could avoid unnecessary repeated biopsies. Furthermore, limited data have investigated a correlation between PCA3 scores and tumor volumes, as well as an ability to distinguish indolent from significant cancer. In the near future, combinations of multiple biomarkers integrating PCA3 will optimize the detection and characterization of prostate cancer.

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Year:  2011        PMID: 21405964     DOI: 10.1586/erm.10.122

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  23 in total

1.  Nanoresonator chip-based RNA sensor strategy for detection of circulating tumor cells: response using PCA3 as a prostate cancer marker.

Authors:  James A Sioss; Rustom B Bhiladvala; Weihua Pan; Mingwei Li; Susan Patrick; Ping Xin; Stacey L Dean; Christine D Keating; Theresa S Mayer; Gary A Clawson
Journal:  Nanomedicine       Date:  2011-11-22       Impact factor: 5.307

2.  Age-specific PCA3 score reference values for diagnosis of prostate cancer.

Authors:  Tobias Klatte; Matthias Waldert; Michela de Martino; Georg Schatzl; Christine Mannhalter; Mesut Remzi
Journal:  World J Urol       Date:  2011-08-30       Impact factor: 4.226

3.  Review of the literature: PCA3 for prostate cancer risk assessment and prognostication.

Authors:  Stacy Loeb; Alan W Partin
Journal:  Rev Urol       Date:  2011

4.  Projecting Benefits and Harms of Novel Cancer Screening Biomarkers: A Study of PCA3 and Prostate Cancer.

Authors:  Jeanette K Birnbaum; Ziding Feng; Roman Gulati; Jing Fan; Yair Lotan; John T Wei; Ruth Etzioni
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-01-22       Impact factor: 4.254

Review 5.  Non-coding RNAs: the new central dogma of cancer biology.

Authors:  Phei Er Saw; Xiaoding Xu; Jianing Chen; Er-Wei Song
Journal:  Sci China Life Sci       Date:  2020-09-11       Impact factor: 6.038

6.  SPAG9 promotes prostate cancer proliferation and metastasis via MAPK signaling pathway.

Authors:  Chutian Xiao; Mingzhao Li; Qunxiong Huang; Jie Si-Tu
Journal:  Am J Transl Res       Date:  2019-08-15       Impact factor: 4.060

Review 7.  The hallmarks of cancer: a long non-coding RNA point of view.

Authors:  Tony Gutschner; Sven Diederichs
Journal:  RNA Biol       Date:  2012-06-01       Impact factor: 4.652

Review 8.  Long non-coding RNAs in haematological malignancies.

Authors:  Andoni Garitano-Trojaola; Xabier Agirre; Felipe Prósper; Puri Fortes
Journal:  Int J Mol Sci       Date:  2013-07-24       Impact factor: 5.923

9.  DNA methylation profiling reveals novel diagnostic biomarkers in renal cell carcinoma.

Authors:  Brittany N Lasseigne; Todd C Burwell; Mohini A Patil; Devin M Absher; James D Brooks; Richard M Myers
Journal:  BMC Med       Date:  2014-12-04       Impact factor: 8.775

10.  Evolving transcriptomic fingerprint based on genome-wide data as prognostic tools in prostate cancer.

Authors:  Mohammed Alshalalfa; Mark Schliekelman; Heesun Shin; Nicholas Erho; Elai Davicioni
Journal:  Biol Cell       Date:  2015-06-16       Impact factor: 4.458

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