Literature DB >> 8863538

Quantitative polymerase chain reaction does not improve preoperative prostate cancer staging: a clinicopathological molecular analysis of 121 patients.

M H Sokoloff1, C L Tso, R Kaboo, S Nelson, J Ko, F Dorey, R A Figlin, S Pang, J deKernion, A Belldegrun.   

Abstract

PURPOSE: To improve on current staging and monitoring methods for prostate cancer, we applied the technique of quantitative polymerase chain reaction to measure the degree of tumor burden in the circulation and correlate this with pathological tumor stage. A reproducible, highly sensitive and specific, reverse transcriptase-polymerase chain reaction amplification technique to quantify prostate specific antigen (PSA) and prostate specific membrane antigen gene expression in the peripheral circulation was developed. Using a 32phosphorus-gamma-adenosine triphosphate-5'PSA and prostate specific membrane antigen primer incorporation assay, the ribonucleic acid signal extracted from a single neoplastic cell (LNCaP) premixed in 10 cc normal whole blood could be amplified. PSA and prostate specific membrane antigen polymerase chain reaction indexes have been created for clinical application.
MATERIALS AND METHODS: From September 1994 through July 1995 specimens from 121 patients were prospectively analyzed for PSA and prostate specific membrane antigen signals.
RESULTS: Circulating PSA producing cells were present in 29 of 33 patients (88%) with metastatic prostate cancer. Two of 19 patients (11%) with no known prostate cancer exhibited positive signals (1 later had prostate cancer), establishing a sensitivity of 88% and specificity of 94% for our assay. Positive PSA polymerase chain reaction signals were detected in 30 of 51 patients (59%) with stages pT1 and pT2 disease and in 13 of 18 (72%) with stage pT3 cancer. No statistically significant relationship of a positive PSA polymerase chain reaction signal to pathological stage, tumor grade, apical involvement or positive surgical margins was found, and no benefit was derived by measuring the quantity of circulating PSA polymerase chain reaction signals. Circulating prostate specific membrane antigen polymerase chain reaction signals were identified mostly in patients with advanced prostate cancer and offered no benefit to preoperative staging.
CONCLUSIONS: Given the high incidence of false positive signals in patients with pathologically determined localized disease, in our experience polymerase chain reaction based assays offer no immediate benefit for preoperative prostate cancer staging. The prognostic significance of detecting circulating prostate specific signals awaits longer followup in this cohort of patients, which is currently under study.

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Year:  1996        PMID: 8863538

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  13 in total

1.  Preoperative nested reverse transcription-polymerase chain reaction for prostate specific membrane antigen predicts non-organ confined disease in radical prostatectomy specimens.

Authors:  John Varkarakis; Charalambos Deliveliotis; Diamandis Sideris; Nikolaos Trakas; Aris Giannopoulos
Journal:  Urol Res       Date:  2003-04-23

2.  Changes in prostate-specific antigen (PSA) level correlate with growth inhibition of prostate cancer cells treated in vitro with a novel anticancer drug, irofulven.

Authors:  A L Woynarowska BAHigdon; R M Muñoz; P Bushong; S J Waters
Journal:  Invest New Drugs       Date:  2001       Impact factor: 3.850

3.  Simultaneous quantification of human glandular kallikrein 2 and prostate-specific antigen mRNAs in peripheral blood from prostate cancer patients.

Authors:  A Ylikoski; M Karp; K Pettersson; H Lilja; T Lövgren
Journal:  J Mol Diagn       Date:  2001-08       Impact factor: 5.568

4.  Can prostate-specific antigen reverse transcriptase-polymerase chain reaction be used as a prospective test to diagnose prostate cancer?

Authors:  H B Goldman; R S Israeli; Y Lu; J L Lerner; R S Hollabaugh; M S Steiner
Journal:  World J Urol       Date:  1997       Impact factor: 4.226

5.  Detection of alpha-methylacyl-coenzyme-A racemase transcripts in blood and urine samples of prostate cancer patients.

Authors:  Barbara K Zehentner; Heather Secrist; XinQun Zhang; Dawn C Hayes; Richard Ostenson; Gary Goodman; Jiangchun Xu; Mark Kiviat; Nancy Kiviat; David H Persing; Raymond L Houghton
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

6.  Circulating prostate tumor cells detected by reverse transcription-PCR in men with localized or castration-refractory prostate cancer: concordance with CellSearch assay and association with bone metastases and with survival.

Authors:  Pauliina Helo; Angel M Cronin; Daniel C Danila; Sven Wenske; Rita Gonzalez-Espinoza; Aseem Anand; Michael Koscuiszka; Riina-Minna Väänänen; Kim Pettersson; Felix K-H Chun; Thomas Steuber; Hartwig Huland; Bertrand D Guillonneau; James A Eastham; Peter T Scardino; Martin Fleisher; Howard I Scher; Hans Lilja
Journal:  Clin Chem       Date:  2009-02-20       Impact factor: 8.327

7.  Molecular assays for the detection of prostate tumor derived nucleic acids in peripheral blood.

Authors:  Matthias Jost; John R Day; Ryan Slaughter; Theodore D Koreckij; Deanna Gonzales; Martin Kinnunen; Jack Groskopf; Harry G Rittenhouse; Robert L Vessella; Mark A Reynolds
Journal:  Mol Cancer       Date:  2010-07-02       Impact factor: 27.401

8.  Prostate specific membrane antigen mRNA in blood as a potential predictor of biochemical recurrence after radical prostatectomy.

Authors:  Jae Young Joung; Kang Su Cho; Han Soo Chung; In-Chang Cho; Jung Eun Kim; Ho Kyung Seo; Jinsoo Chung; Weon Seo Park; Moon Kyung Choi; Kang Hyun Lee
Journal:  J Korean Med Sci       Date:  2010-08-12       Impact factor: 2.153

Review 9.  Detection of circulating tumor cells in prostate cancer patients: methodological pitfalls and clinical relevance.

Authors:  Zacharoula Panteleakou; Peter Lembessis; Antigone Sourla; Nikolaos Pissimissis; Aristides Polyzos; Charalambos Deliveliotis; Michael Koutsilieris
Journal:  Mol Med       Date:  2008-12-03       Impact factor: 6.354

Review 10.  Genomic signatures associated with the development, progression, and outcome of prostate cancer.

Authors:  Prateek Mendiratta; Phillip G Febbo
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

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