Literature DB >> 16515983

A novel serum marker, total prostate secretory protein of 94 amino acids, improves prostate cancer detection and helps identify high grade cancers at diagnosis.

Robert K Nam1, Jonathan R Reeves, Ants Toi, Helene Dulude, John Trachtenberg, Marjan Emami, Luc Daigneault, Chandra Panchal, Linda Sugar, Michael A S Jewett, Steven A Narod.   

Abstract

PURPOSE: New biomarkers for prostate cancer are needed. We determined whether a novel serum marker, total PSP94 can be used to accomplish these goals.
MATERIALS AND METHODS: We conducted a case-control study of 1,212 men with no previous history of prostate cancer and who underwent a prostate biopsy from 1998 to 2000 because of an increased PSA or an abnormal DRE. Serum PSP94 levels were assessed using a sandwich enzyme-linked immunosorbent assay technique. Cases were patients with prostate cancer, and controls were patients who had no evidence of cancer. Multivariate logistic regression analysis was used to determine whether or not PSP94 levels improved the predictive value for prostate cancer.
RESULTS: Of the 1,212 men 596 (49.2%) had cancer detected. The median PSP94 level was significantly lower among cases (2.60 ng/ml) than among controls (3.40 ng/ml, p <0.0001). The adjusted odds ratios for the presence of prostate cancer for patients with the lowest quartile of PSP94, compared to patients in the highest quartile was 2.70 (95% CI 1.8 - 4.0, p <0.0001). Among a subgroup of 649 men in whom PSA had a low predictive value (PSA less than 20 ng/ml, normal DRE and less than 70 years), 260 (40.1%) were found to have cancer. In this subgroup total PSP94 levels helped discriminate between patients with high grade disease (Gleason score 8 or more, median 1.90 ng/ml), moderate grade disease (Gleason score 7, median 2.34 ng/ml) and low grade disease (Gleason score 6 or less, median 2.60 ng/ml, p = 0.007). PSA and the FTPSA were not able to distinguish between patients with different grades in this group.
CONCLUSIONS: Patients with low total PSP94 levels had a high probability for having prostate cancer detected at biopsy. The total PSP94 level was able to help identify patients with high grade disease among a subset of patients in whom PSA and FTPSA are least informative.

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Year:  2006        PMID: 16515983     DOI: 10.1016/S0022-5347(05)00695-6

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


  27 in total

1.  Growth inhibition properties of the putative prostate cancer biomarkers PSP94 and CRISP-3.

Authors:  Aleyde Van Eynde; Kirill Litovkin; Mathieu Bollen
Journal:  Asian J Androl       Date:  2010-11-22       Impact factor: 3.285

2.  Crystallization and preliminary X-ray diffraction analysis of human seminal plasma protein PSP94.

Authors:  Mukesh Kumar; Dhanashree D Jagtap; Smita D Mahale; Vishal Prashar; Ashwani Kumar; Amit Das; Subhash C Bihani; Jean Luc Ferrer; Madhusoodan V Hosur; M Ramanadham
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2009-03-25

3.  Growth inhibition mediated by PSP94 or CRISP-3 is prostate cancer cell line specific.

Authors:  Bhakti R Pathak; Ananya A Breed; Vaishali H Nakhawa; Dhanashree D Jagtap; Smita D Mahale
Journal:  Asian J Androl       Date:  2010-08-02       Impact factor: 3.285

4.  A Four-kallikrein Panel Predicts High-grade Cancer on Biopsy: Independent Validation in a Community Cohort.

Authors:  Katharina Braun; Daniel D Sjoberg; Andrew J Vickers; Hans Lilja; Anders S Bjartell
Journal:  Eur Urol       Date:  2015-05-13       Impact factor: 20.096

5.  Blood biomarker levels to aid discovery of cancer-related single-nucleotide polymorphisms: kallikreins and prostate cancer.

Authors:  Robert J Klein; Christer Halldén; Angel M Cronin; Alexander Ploner; Fredrik Wiklund; Anders S Bjartell; Pär Stattin; Jianfeng Xu; Peter T Scardino; Kenneth Offit; Andrew J Vickers; Henrik Grönberg; Hans Lilja
Journal:  Cancer Prev Res (Phila)       Date:  2010-04-27

6.  A common prostate cancer risk variant 5' of microseminoprotein-beta (MSMB) is a strong predictor of circulating beta-microseminoprotein (MSP) levels in multiple populations.

Authors:  Kevin M Waters; Daniel O Stram; Loic Le Marchand; Robert J Klein; Camilla Valtonen-André; Mari T Peltola; Laurence N Kolonel; Brian E Henderson; Hans Lilja; Christopher A Haiman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-08-24       Impact factor: 4.254

7.  Methodology and applications of disease biomarker identification in human serum.

Authors:  Ziad J Sahab; Suzan M Semaan; Qing-Xiang Amy Sang
Journal:  Biomark Insights       Date:  2007-02-14

8.  Investigation of the relationship between prostate cancer and MSMB and NCOA4 genetic variants and protein expression.

Authors:  Liesel M FitzGerald; Xiaotun Zhang; Suzanne Kolb; Erika M Kwon; Ying Ching Liew; Antonio Hurtado-Coll; Beatrice S Knudsen; Elaine A Ostrander; Janet L Stanford
Journal:  Hum Mutat       Date:  2012-10-04       Impact factor: 4.878

9.  Levels of beta-microseminoprotein in blood and risk of prostate cancer in multiple populations.

Authors:  Christopher A Haiman; Daniel O Stram; Andrew J Vickers; Lynne R Wilkens; Katharina Braun; Camilla Valtonen-André; Mari Peltola; Kim Pettersson; Kevin M Waters; Loic Le Marchand; Laurence N Kolonel; Brian E Henderson; Hans Lilja
Journal:  J Natl Cancer Inst       Date:  2012-12-03       Impact factor: 13.506

10.  Comprehensive resequence analysis of a 97 kb region of chromosome 10q11.2 containing the MSMB gene associated with prostate cancer.

Authors:  Meredith Yeager; Zuoming Deng; Joseph Boland; Casey Matthews; Jennifer Bacior; Victor Lonsberry; Amy Hutchinson; Laura A Burdett; Liqun Qi; Kevin B Jacobs; Jesus Gonzalez-Bosquet; Sonja I Berndt; Richard B Hayes; Robert N Hoover; Gilles Thomas; David J Hunter; Michael Dean; Stephen J Chanock
Journal:  Hum Genet       Date:  2009-12       Impact factor: 4.132

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