PURPOSE: To establish the prognostic value of total and free prostate secretory protein of 94 amino acids (PSP94) and the PSP94-binding protein (PSPBP) following radical prostatectomy. EXPERIMENTAL DESIGN: One hundred and eighty-five serum samples were obtained from patients with localized prostate cancer prior to treatment with radical prostatectomy at Virginia Urology (Richmond, VA). Patients were followed up for a median of 48 months (range, 1-66 months) and biochemical relapse was indicated as total prostate-specific antigen (tPSA) levels increasing to > 0.1 ng/mL. The available clinical variables included initial tPSA, Gleason score, surgical margin status, and clinical stage. Total PSP94, free PSP94, and the PSPBP were quantified in the pretreatment serum using new ELISA tests (Medicorp, Inc. and Ambrilia Biopharma, Inc., Montreal, Quebec, Canada). Univariate and multivariate Cox proportional hazards models were used to assess the ability of PSP94 and PSPBP to predict time to recurrence. RESULTS: Thirty-one patients had biochemical recurrence. Gleason score, margin status, clinical stage, and initial tPSA significantly predicted recurrence risk (all P < 0.001). In addition, PSPBP was negatively associated with recurrence risk (P = 0.005), and, consistent with previous studies, the bound/free PSP94 ratio was positively associated with recurrence risk (P = 0.008). Multivariate analysis showed that PSPBP, as well as the bound/free PSP94 ratio, were independent predictors of biochemical relapse risk adjusting for tPSA, Gleason score, and margin status. CONCLUSIONS: Bound/free PSP94 and PSPBP are novel and independent prognostic markers following radical prostatectomy for prostate cancer.
PURPOSE: To establish the prognostic value of total and free prostate secretory protein of 94 amino acids (PSP94) and the PSP94-binding protein (PSPBP) following radical prostatectomy. EXPERIMENTAL DESIGN: One hundred and eighty-five serum samples were obtained from patients with localized prostate cancer prior to treatment with radical prostatectomy at Virginia Urology (Richmond, VA). Patients were followed up for a median of 48 months (range, 1-66 months) and biochemical relapse was indicated as total prostate-specific antigen (tPSA) levels increasing to > 0.1 ng/mL. The available clinical variables included initial tPSA, Gleason score, surgical margin status, and clinical stage. Total PSP94, free PSP94, and the PSPBP were quantified in the pretreatment serum using new ELISA tests (Medicorp, Inc. and Ambrilia Biopharma, Inc., Montreal, Quebec, Canada). Univariate and multivariate Cox proportional hazards models were used to assess the ability of PSP94 and PSPBP to predict time to recurrence. RESULTS: Thirty-one patients had biochemical recurrence. Gleason score, margin status, clinical stage, and initial tPSA significantly predicted recurrence risk (all P < 0.001). In addition, PSPBP was negatively associated with recurrence risk (P = 0.005), and, consistent with previous studies, the bound/free PSP94 ratio was positively associated with recurrence risk (P = 0.008). Multivariate analysis showed that PSPBP, as well as the bound/free PSP94 ratio, were independent predictors of biochemical relapse risk adjusting for tPSA, Gleason score, and margin status. CONCLUSIONS: Bound/free PSP94 and PSPBP are novel and independent prognostic markers following radical prostatectomy for prostate cancer.
Authors: Hong Lou; Hongchuan Li; Meredith Yeager; Kate Im; Bert Gold; Thomas D Schneider; Joseph F Fraumeni; Stephen J Chanock; Stephen K Anderson; Michael Dean Journal: Hum Genet Date: 2012-06-04 Impact factor: 4.132
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Authors: Zsofia Kote-Jarai; Douglas F Easton; Janet L Stanford; Elaine A Ostrander; Johanna Schleutker; Sue A Ingles; Daniel Schaid; Stephen Thibodeau; Thilo Dörk; David Neal; Jenny Donovan; Freddie Hamdy; Angela Cox; Christiane Maier; Walter Vogel; Michelle Guy; Kenneth Muir; Artitaya Lophatananon; Mary-Anne Kedda; Amanda Spurdle; Suzanne Steginga; Esther M John; Graham Giles; John Hopper; Pierre O Chappuis; Pierre Hutter; William D Foulkes; Nancy Hamel; Claudia A Salinas; Joseph S Koopmeiners; Danielle M Karyadi; Bo Johanneson; Tiina Wahlfors; Teuvo L Tammela; Mariana C Stern; Roman Corral; Shannon K McDonnell; Peter Schürmann; Andreas Meyer; Rainer Kuefer; Daniel A Leongamornlert; Malgorzata Tymrakiewicz; Jo-Fen Liu; Tracy O'Mara; R A Frank Gardiner; Joanne Aitken; Amit D Joshi; Gianluca Severi; Dallas R English; Melissa Southey; Stephen M Edwards; Ali Amin Al Olama; Rosalind A Eeles Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-08 Impact factor: 4.254
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
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