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Prostate cancer laterality as a rationale of focal ablative therapy for the treatment of clinically localized prostate cancer

✍ Scribed by Vladimir Mouraviev; Janice M. Mayes; Leon Sun; John F. Madden; Judd W. Moul; Thomas J. Polascik


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
120 KB
Volume
110
Category
Article
ISSN
0008-543X

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✦ Synopsis


Abstract

BACKGROUND.

Early detection of small‐volume prostate cancer (PCa) has led to the concept of focal therapy to treat PCa as an organ‐sparing, minimally invasive procedure. The authors sought to determine the frequency of unilateral cancers in the contemporary prostate‐specific antigen (PSA) era to determine the percentage of patients who would be candidates for hemiablation of the prostate by using focal therapy while preserving the contralateral lobe.

METHODS.

Paraffin‐embedded radical prostatectomy specimens (1184 specimens) from consecutive patients between 2002 and 2006 with pathologic organ confined PCa were analyzed. Pathologic assessment focused on tumor laterality and percentage of tumor involvement (PTI) along with other routine parameters such as pathological T‐classification (pT), pathological Gleason Score (pGS), extracapsular extension (ECE), and surgical margins (SM). Clinical and pathologic parameters were analyzed by univariate and multivariate methods.

RESULTS.

Completely unilateral cancers were identified in 227 (19.2%) of 1184 patients. Of these patients, 164 (72.2%) had PTI of ≤5%, 40 (17.6%) had a PTI of 5.01%–10%, 9 (4.0%) had a PTI of 10.01%–15%, and 14 (6.2%) had a PTI of > 15%, respectively (P < .0005). African‐American men had bilateral cancers more commonly that non‐African‐American men, eg, 90.8% versus 79.2%, respectively (P < .0005). Race, PTI, pGS, and SM were independent predictors by multivariate logistic regression (P ≤ .05).

CONCLUSIONS.

This study suggests that 1 in 5 men diagnosed with PCa have small volume, completely unilateral cancers that may be amenable to hemiablation of the prostate. Further study is needed to develop predictive models to select candidates for focal therapy. Cancer 2007; 110:906–10. © 2007 American Cancer Society.


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