Literature DB >> 21630551

The analysis of some factors that influence on serum PSA level in localized prostate cancer patients: mathematical model.

Tomislav Pejcić1, Jovan Hadzi-Djokić, Cedomir Topuzović, Dragoslav Basić, Dragan Basić, Aleksandar Marjanović, Ljubomir Djurasic.   

Abstract

INTRODUCTION: Serum prostate specific antigen (PSA) concentration in localized prostate cancer (PCa) patients depends of numerous factors related to tumor, prostate and the patient. Tumor factors include tumor volume, localization, growth rate and aggressiveness. Prostate factors include prostate volume, the activity of dihydrotestosterone (DHT) and PSA synthesis. Host factors include androgenic status and total blood volume.
OBJECTIVE: to discuss all the possible factors that influence on serum PSA levels in localized PCa patients. To present the mathematical model that predicts serum PSA concentration in localized PCa patients.
METHODS: Mathematical model is based on the hypothesis that tumor-related PSA molecules are released from the epithelial prostatic cells around the tumor, so called "Destruction Zone" around the tumor (DZ). The amount of PSA is dependent of DZ volume. Moreover, DZ volume depends on tumor volume, tumor localization in the prostate and tumor growth rate.
RESULTS: The study offers the wide spectrum of PSA values, dependent on tumor, prostate and patient characteristics. These values are comparable with the empirical results in the literature, especially if tumor-volume doubling time of three years is entered into the calculations.
CONCLUSION: Although with some limitations, this mathematical model can explain the great variety of PSA serum concentrations in PCa patients.

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Year:  2011        PMID: 21630551     DOI: 10.2298/aci1101081p

Source DB:  PubMed          Journal:  Acta Chir Iugosl        ISSN: 0354-950X


  2 in total

1.  The use of multiphase nonlinear mixed models to define and quantify long-term changes in serum prostate-specific antigen: data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

Authors:  Azza Shoaibi; Gowtham A Rao; Bo Cai; John Rawl; James R Hébert
Journal:  Ann Epidemiol       Date:  2015-10-28       Impact factor: 3.797

2.  The long non-coding RNA PCA3: an update of its functions and clinical applications as a biomarker in prostate cancer.

Authors:  Ana Emília Goulart Lemos; Aline da Rocha Matos; Luciana Bueno Ferreira; Etel Rodrigues Pereira Gimba
Journal:  Oncotarget       Date:  2019-11-12
  2 in total

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