BACKGROUND: This study was designed to evaluate the potential of the molecular and cellular markers p53, Ki-67, and apoptotic index (AI) as adjuncts to the commonly available variables of tumor grade, clinical stage, and serum prostate specific antigen to predict prostate carcinoma recurrence after radical prostatectomy. METHODS: Representative punch biopsy specimens of prostate carcinoma from whole mount paraffin blocks were evaluated from 47 men who underwent radical prostatectomy. Two groups were defined: those without evidence of prostate carcinoma recurrence after 5 years of follow-up (N = 30) and those with carcinoma recurrence (N = 17). Gleason grade, clustered p53 immunostaining, Ki-67 immunostaining, and AI were determined by standard techniques. RESULTS: All variables tested were associated with disease recurrence by univariate analysis: AI (P = 0.005), clustered p53 immunostaining (P = 0.0070), and Ki-67 immunostaining (P = 0.0390). Using multivariate analyses that included each biomarker with routinely available features, only AI (P = 0.0234) and clustered p53 immunostaining (P = 0.0389) added independent prognostic information (Ki-67 immunostaining, P = 0.1285). In the final logistic regression model that included standard variables with AI and p53, only AI reached statistical significance (P = 0.0332). CONCLUSIONS: The continued assessment of additional biomarkers for prostate carcinoma recurrence is important to identify better those patients who may be candidates for early adjuvant therapy and also to further our understanding of the neoplastic potential of a particular malignancy.
BACKGROUND: This study was designed to evaluate the potential of the molecular and cellular markers p53, Ki-67, and apoptotic index (AI) as adjuncts to the commonly available variables of tumor grade, clinical stage, and serum prostate specific antigen to predict prostate carcinoma recurrence after radical prostatectomy. METHODS: Representative punch biopsy specimens of prostate carcinoma from whole mount paraffin blocks were evaluated from 47 men who underwent radical prostatectomy. Two groups were defined: those without evidence of prostate carcinoma recurrence after 5 years of follow-up (N = 30) and those with carcinoma recurrence (N = 17). Gleason grade, clustered p53 immunostaining, Ki-67 immunostaining, and AI were determined by standard techniques. RESULTS: All variables tested were associated with disease recurrence by univariate analysis: AI (P = 0.005), clustered p53 immunostaining (P = 0.0070), and Ki-67 immunostaining (P = 0.0390). Using multivariate analyses that included each biomarker with routinely available features, only AI (P = 0.0234) and clustered p53 immunostaining (P = 0.0389) added independent prognostic information (Ki-67 immunostaining, P = 0.1285). In the final logistic regression model that included standard variables with AI and p53, only AI reached statistical significance (P = 0.0332). CONCLUSIONS: The continued assessment of additional biomarkers for prostate carcinoma recurrence is important to identify better those patients who may be candidates for early adjuvant therapy and also to further our understanding of the neoplastic potential of a particular malignancy.
Authors: Lawrence True; Ilsa Coleman; Sarah Hawley; Ching-Ying Huang; David Gifford; Roger Coleman; Tomasz M Beer; Edward Gelmann; Milton Datta; Elahe Mostaghel; Beatrice Knudsen; Paul Lange; Robert Vessella; Daniel Lin; Leroy Hood; Peter S Nelson Journal: Proc Natl Acad Sci U S A Date: 2006-07-07 Impact factor: 11.205
Authors: Panagiotis J Vlachostergios; Foteini Karasavvidou; Anna Patrikidou; Ioannis A Voutsadakis; Grigorios Kakkas; George Moutzouris; Elias Zintzaras; Danai D Daliani; Michael D Melekos; Christos N Papandreou Journal: Pathol Oncol Res Date: 2011-07-23 Impact factor: 3.201
Authors: Herbert Augustin; Peter G Hammerer; Markus Graefen; Jüri Palisaar; Fedor Daghofer; Hartwig Huland; Andreas Erbersdobler Journal: J Cancer Res Clin Oncol Date: 2003-09-26 Impact factor: 4.553
Authors: Joseph Nariculam; Alex Freeman; Simon Bott; Phillipa Munson; Noriko Cable; Nicola Brookman-Amissah; Magali Williamson; Roger S Kirby; John Masters; Mark Feneley Journal: Asian J Androl Date: 2008-12-01 Impact factor: 3.285