Tissue PSA is the best predicting variable for the outcome of endocrine treatment of prostatic carcinoma

Citation
A. Pousette et al., Tissue PSA is the best predicting variable for the outcome of endocrine treatment of prostatic carcinoma, SC J CL INV, 59, 1999, pp. 27-32
Citations number
14
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research General Topics
Journal title
SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION
ISSN journal
00365513 → ACNP
Volume
59
Year of publication
1999
Supplement
229
Pages
27 - 32
Database
ISI
SICI code
0036-5513(1999)59:<27:TPITBP>2.0.ZU;2-R
Abstract
In order to evaluate the prognostic value of tissue-PSA (prostatic-specific protein, measured in aspiration biopsies) 231 hormonally treated patients with verified carcinoma of the prostate (CaP) but without metastasis were s tudied retrospectively. T-PSA was determined at the time of diagnosis in al l patients and in 52 of these also at 6, 12 and 24 months after diagnosis. Of the 231 patients, 79 died of prostatic carcinoma and 152 were still aliv e or had died of other diseases at the end of the observation period (more than 71 months). In a first set of evaluations the predictive value of a single analysis at the time of diagnosis was studied in 179 patients. It was found that tissue PSA was the most important factor for predicting both time to progression and time to death in CaP. Other competing factors were S-PSG, free S-PSA, a ge, clinical stage, grade and DNA-ploidy. Further evaluations regarding serial PSA determinations were performed in 5 2 patients. Tissue PSA increased during treatment in all patients who died of CaP. In all patients who survived or died for other reasons, tissue PSA decreased during treatment and remained low. The change of tissue PSA seen between 0, 6 and 12 months could in all cases predict the clinical outcome. It is concluded that a single analysis of tissue PSA at the time of diagno sis can predict the clinical outcome in most cases and that serial determin ations can predict the outcome in almost all cases of a CaP without metasta sis at the time of diagnosis. This requires that we use this assay when sel ecting between patients who will survive on hormonal treatment and those wh o most probably would benefit from a more aggressive treatment.