Literature DB >> 21176272

The novel prostate cancer antigen 3 (PCA3) biomarker.

Andreas Bourdoumis1, Athanasios G Papatsoris, Michael Chrisofos, Eleni Efstathiou, Andreas Skolarikos, Charalambos Deliveliotis.   

Abstract

PCA3 is a prostate specific, nonprotein coding RNA that is significantly over expressed in prostate cancer, without any correlation to prostatic volume and/or other prostatic diseases (e.g. prostatitis). It can now easily be measured in urine with a novel transcription-mediated amplification based test. Quantification of PCA3 mRNA levels can predict the outcome of prostatic biopsies with a higher specificity rate in comparison to PSA. Several studies have demonstrated that PCA3 can be used as a prognostic marker of prostate cancer, especially in conjunction with other predictive markers. Novel PCA3-based nomograms have already been introduced into clinical practice. PCA3 test may be of valuable help in several PSA quandary situations such as negative prostatic biopsies, concomitant prostatic diseases, and active surveillance. Results from relevant clinical studies, comparative with PSA, are warranted in order to confirm the perspective of PCA3 to substitute PSA.

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Year:  2010        PMID: 21176272     DOI: 10.1590/s1677-55382010000600003

Source DB:  PubMed          Journal:  Int Braz J Urol        ISSN: 1677-5538            Impact factor:   1.541


  6 in total

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Journal:  Cancer Res       Date:  2017-07-12       Impact factor: 12.701

2.  Risk of prostate cancer and thrombosis-related factor polymorphisms.

Authors:  Somayehsadat Ghasemi; Aydin Tavakoli; Mohamad Moghadam; Mohamad Ali Zargar; Maryam Abbaspour; Nasim Hatamnejadian; Ahmad Ebrahimi
Journal:  Biomed Rep       Date:  2013-10-04

3.  Novel lncRNA UPLA1 mediates tumorigenesis and prognosis in lung adenocarcinoma.

Authors:  Xiaoyang Han; Hua Jiang; Jianni Qi; Jiamei Li; Jinghan Yang; Yingying Tian; Wei Li; Qi Jing; Chuanxi Wang
Journal:  Cell Death Dis       Date:  2020-11-21       Impact factor: 8.469

4.  Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3.

Authors:  Valquiria C Rodrigues; Juliana C Soares; Andrey C Soares; Daniel C Braz; Matias Eliseo Melendez; Lucas C Ribas; Leonardo F S Scabini; Odemir M Bruno; Andre Lopes Carvalho; Rui Manuel Reis; Rafaela C Sanfelice; Osvaldo N Oliveira
Journal:  Talanta       Date:  2020-08-07       Impact factor: 6.057

5.  Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach.

Authors:  Fei Yuan; You Zhou; Meng Wang; Jing Yang; Kai Wu; Changhong Lu; Xiangyin Kong; Yu-Dong Cai
Journal:  Comput Math Methods Med       Date:  2015-10-04       Impact factor: 2.238

6.  A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.

Authors:  Meijian Liao; Qing Liu; Bing Li; Weijie Liao; Weidong Xie; Yaou Zhang
Journal:  Cancer Sci       Date:  2018-11-04       Impact factor: 6.716

  6 in total

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