BACKGROUND: The heterogeneity in prostate cancer is the reason for the difficult diagnosis and prognosis of this tumor. In this study, we looked for a correlation between prostate specific antigen (PSA), tumor staging and DNA cytophotometry. MATERIALS AND METHODS: Twenty-two prostates (pT1-T4) from patients with prostate cancer, who underwent radical prostatectomy, were examined. Preoperative PSA and postoperative DNA image cytometry, after 2-8 needle biopsies out of each organ, were evaluated. RESULTS: The prostate cancer tissues showed, in DNA stemline-interpretation according to Fu, in homogenous diploid tumors an average PSA level of 3.8 ng/ml, and, in homogenous aneuploid tumors, a level of 14.0 ng/ml. Tumors with heterogeneous DNA patterns with a majority of aneuploidy had an average PSA level of 85.6 ng/ml, and heterogeneous tissues with a majority of diploidy a level of 10.9 ng/ml. CONCLUSION: Only the stemline-interpretation of Fu after DNA cytophotometry is efficient for diagnosis of prostate cancer, and allows prognostic statements of the disease.
BACKGROUND: The heterogeneity in prostate cancer is the reason for the difficult diagnosis and prognosis of this tumor. In this study, we looked for a correlation between prostate specific antigen (PSA), tumor staging and DNA cytophotometry. MATERIALS AND METHODS: Twenty-two prostates (pT1-T4) from patients with prostate cancer, who underwent radical prostatectomy, were examined. Preoperative PSA and postoperative DNA image cytometry, after 2-8 needle biopsies out of each organ, were evaluated. RESULTS: The prostate cancer tissues showed, in DNA stemline-interpretation according to Fu, in homogenous diploid tumors an average PSA level of 3.8 ng/ml, and, in homogenous aneuploid tumors, a level of 14.0 ng/ml. Tumors with heterogeneous DNA patterns with a majority of aneuploidy had an average PSA level of 85.6 ng/ml, and heterogeneous tissues with a majority of diploidy a level of 10.9 ng/ml. CONCLUSION: Only the stemline-interpretation of Fu after DNA cytophotometry is efficient for diagnosis of prostate cancer, and allows prognostic statements of the disease.
Authors: Ivan P Gorlov; Jinyoung Byun; Hongya Zhao; Christopher J Logothetis; Olga Y Gorlova Journal: J Bioinform Comput Biol Date: 2012-04 Impact factor: 1.122
Authors: Timothy O Adekoya; Nikia Smith; Temilade Aladeniyi; Joe B Blumer; Xiaoxin L Chen; Ricardo M Richardson Journal: Carcinogenesis Date: 2019-12-31 Impact factor: 4.944