Literature DB >> 15251956

The use of real-time quantitative PCR to detect circulating prostate-specific membrane antigen mRNA in patients with prostate carcinoma.

Da-Chang Chu1, Cheng-Keng Chuang, Yi-Fang Liou, Ron-Dar Tzou, Hsiao-Chun Lee, Chien-Feng Sun.   

Abstract

Prostate-specific antigen (PSA) has long been criticized for its lack of specificity in screening for the occurrence of prostate cancer. In this study, we tried to measure levels of another biomarker, prostate-specific membrane antigen (PSM), in the peripheral circulation from subjects with either prostate cancer or benign prostatic hyperplasia (BPH). Total RNA was extracted from blood samples of 70 patients with prostate cancer and 19 with BPH. Reverse transcription was performed to convert mRNA to cDNA. The cDNA was analyzed with a novel real-time quantitative polymerase chain reaction (PCR) protocol to measure PSM mRNA levels in the circulation. Melting curve analysis was adapted to assure that correct amplification data were obtained. Results showed that 41 of 70 prostate cancer patients had positive results, whereas 9 of 19 BPH cases were negative. Therefore, the sensitivity and specificity were determined to be 58.6% and 47.4%, respectively. For comparison, traditional nested PCR was performed to investigate whether the new method was superior. The sensitivity and specificity of nested PCR were determined to be 27.1% and 57.9%, respectively. The detection limits of these two methods were 0.0005 ng (for the real-time quantitative PCR method) and 0.5 ng of PSM-cDNA (for the nested PCR method). In conclusion, we have successfully developed a novel, noninvasive real-time quantitative PCR method to detect the PSM mRNA levels in the peripheral circulation of prostate cancer subjects. This method may provide references for urologists diagnosing prostate cancer or monitoring the patient's condition after treatment.

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Year:  2004        PMID: 15251956     DOI: 10.1196/annals.1318.026

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  7 in total

Review 1.  Prostate-specific markers to identify rare prostate cancer cells in liquid biopsies.

Authors:  Emma E van der Toom; Haley D Axelrod; Jean J de la Rosette; Theo M de Reijke; Kenneth J Pienta; Kenneth C Valkenburg
Journal:  Nat Rev Urol       Date:  2019-01       Impact factor: 14.432

2.  Detecting cell-free circulating hTERT mRNA in the plasma may identify a subset of nonsmall cell lung cancer patients.

Authors:  Giuseppe Pelosi; Elisabetta Schianchi; Patrizia Dell'orto; Giulia Veronesi; Lorenzo Spaggiari; Felice Pasini; Gabriella Sozzi; Elisabeth Brambilla; Claudia Griso; Giuseppe Viale
Journal:  Virchows Arch       Date:  2005-09-29       Impact factor: 4.064

3.  The oncogenic transcription factor ERG represses the transcription of the tumour suppressor gene PTEN in prostate cancer cells.

Authors:  Patricia Adamo; Sean Porazinski; Shavanthi Rajatileka; Samantha Jumbe; Rachel Hagen; Man-Kim Cheung; Ian Wilson; Michael R Ladomery
Journal:  Oncol Lett       Date:  2017-08-28       Impact factor: 2.967

Review 4.  Circulating RNAs as new biomarkers for detecting pancreatic cancer.

Authors:  Takahiro Kishikawa; Motoyuki Otsuka; Motoko Ohno; Takeshi Yoshikawa; Akemi Takata; Kazuhiko Koike
Journal:  World J Gastroenterol       Date:  2015-07-28       Impact factor: 5.742

5.  Microarray analysis of serum mRNA in patients with head and neck squamous cell carcinoma at whole-genome scale.

Authors:  Markéta Čapková; Jana Šáchová; Hynek Strnad; Michal Kolář; Miluše Hroudová; Martin Chovanec; Zdeněk Čada; Martin Šteffl; Jaroslav Valach; Jan Kastner; Čestmír Vlček; Karel Smetana; Jan Plzák
Journal:  Biomed Res Int       Date:  2014-04-23       Impact factor: 3.411

6.  Circulating nucleic acids as a new diagnostic tool.

Authors:  Marketa Urbanova; Jan Plzak; Hynek Strnad; Jan Betka
Journal:  Cell Mol Biol Lett       Date:  2010-02-25       Impact factor: 5.787

Review 7.  Novel tools for prostate cancer prognosis, diagnosis, and follow-up.

Authors:  Andreas Dimakakos; Athanasios Armakolas; Michael Koutsilieris
Journal:  Biomed Res Int       Date:  2014-05-04       Impact factor: 3.411

  7 in total

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