Ma. Rubin et al., Relationship and significance of greatest percentage of tumor and perineural invasion on needle biopsy in prostatic adenocarcinoma, AM J SURG P, 24(2), 2000, pp. 183-189
Citations number
13
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research Diagnosis & Treatment
Serum prostate-specific antigen (PSA) levels and the biopsy Gleason sum are
used along with clinical staging to predict prostatectomy pathology result
s for men with localized prostate cancer. The additional predictive value o
f perineural invasion (PNI) in pretreatment prostate needle biopsies for ev
aluating tumor stage in this setting is controversial. The current study ev
aluates the independent predictive value of PNI for tumor staging in a coho
rt of 632 men who underwent radical retropubic prostatectomies for clinical
ly localized adenocarcinoma of the prostate between the years 1994 and 1998
. None of these men received hormonal or radiation therapy before surgery.
In addition to the Gleason sum, biopsy results contained detailed informati
on regarding tumor burden: 1) total number of biopsy cores involved by aden
ocarcinoma, 2) greatest percentage of any single biopsy involved by prostat
e carcinoma (GPC), and 3) total percentage of cancer added over all cores (
TPC). The presence or absence of any PNI was recorded. Pretreatment factors
were analyzed in a univariate and multivariate fashion to determine their
predictive value using the TNM tumor stage (pT2 vs pT3) and the modified tu
mor staging system, which includes surgical margin status (pT2 vs pT3 or po
sitive surgical margin) as end points. Univariate analysis revealed a signi
ficant association between pT3 disease and several preoperative factors inc
luding age, Gleason sum, serum PSA, digital rectal examination, PNI, GPC, T
PC, and the total number of positive cores (p <0.01). Multivariate analysis
indicated that serum PSA, Gleason sum, age, and GPC contributed significan
tly to predicting pT3 disease with odds ratios of 2.7 (95% CI, 1.7-4.3), 2.
3 (95% CI, 1.7-3.1), 1.7 (95% CI, 1.1-2.7), and 1.7 (95% CI, 1.4-2.1) respe
ctively. PNI was significant in multi variate analysis only when GPC and TP
C were not considered, due to a significant interaction between GPC and PNI
(p <0.0001,Wilcoxon's rank sum test). These predictive factors showed a si
milar relationship to adverse pathology when an alternative definition of a
dverse pathology was used that included positive surgical margins (pT3 or a
ny positive margin). In the interaction between GPC and PNI, GPC was more s
ignificant than PNI in predicting pT3 disease. However, PNI added additiona
l information when adverse pathology was defined more broadly as pT3 or any
positive margin.