Mh. Hussain et al., FLOW CYTOMETRIC DNA ANALYSIS OF FRESH PROSTATIC RESECTIONS - CORRELATION WITH CONVENTIONAL PROGNOSTIC PARAMETERS IN PATIENTS WITH PROSTATE-CANCER, Cancer, 72(10), 1993, pp. 3012-3019
Background. DNA ploidy analysis has been investigated as a prognostic
indicator in prostate cancer. Most of the data is derived from retrosp
ective studies using paraffin-embedded tissue. This method has drawbac
ks related to the quality of DNA histograms and uncontrolled data coll
ection. Methods. DNA ploidy analysis of freshly resected prostatic tis
sue was prospectively compared with conventional prognostic variables
in 97 men treated with radical prostatectomy for localized prostate ca
ncer. Results. Regarding the patients, 31.9% were African American and
66% had pathologic Stages C or D1 disease. Only 9.6% of patients with
Stages A2 and B had a prostate-specific antigen (PSA) value greater t
han 10 ng/ml, whereas 97% of patients with PSA values greater than 20
ng/ml had pathologic Stages C and D1. PSA levels correlated with Gleas
on score (P = < 0.05); 51% and 100% of patients with Gleason score 5-7
and 8-10, respectively, had PSA values greater than 10 ng/ml. Twenty-
two patients (23%) had DNA aneuploid tumors. Comparisons of mechanical
to enzymatic cell suspensions indicated that DNA aneuploidy was bette
r preserved in mechanical cell preparations. DNA ploidy correlated wit
h pathologic stage (P = < 0.05) and Gleason score (P = < 0.05). Fiftee
n of 79 patients (18.9%) with Gleason score 5-7 had DNA aneuploid tumo
rs versus 71.4% of patients with Gleason score 8-10. PSA groups correl
ated with ploidy status (P 0.01). Although the majority of patients (1
9 of 22) with DNA aneuploid tumors had elevated preoperative PSA level
s, none had a PSA value greater than 50 ng/ml. Conclusions. DNA ploidy
analysis correlated with established prognostic indicators in prostat
e cancer; however, its independent correlation with natural history an
d treatment outcome must be established for it to have an effect on th
erapeutic decisions.