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Biopsy Core Features are Poor Predictors of Adverse Pathology in Men with Grade Group 1 Prostate Cancer.

ABSTRACT: PURPOSE:Active surveillance is often restricted to patients with low risk prostate cancer who have 3 or fewer positive cores. We aimed to identify predictors of adverse pathology results for low risk prostate cancer treated with radical prostatectomy and determine whether a threshold number of positive cores could help the decision process for active surveillance. MATERIALS AND METHODS:A total of 3,359 men with low risk prostate cancer underwent radical prostatectomy between January 2000 and August 2016. We analyzed the relationship between biopsy core features and adverse pathology at radical prostatectomy, defined as Grade Group 3 or greater, seminal vesicle invasion or lymph node involvement. RESULTS:Of the 171 cases (5.1%) with adverse pathology findings at radical prostatectomy 144 (4.3%) were upgraded to Grade Group 3 or greater, 31 (0.9%) had seminal vesicle invasion and 15 (0.4%) had lymph node involvement. Prostate specific antigen and patient age were the only predictors of adverse pathology results. There was no significant association with the number of positive cores, the total mm of cancer or the maximum percent of cancer in any core. When we expanded the definition of adverse pathology to include Grade Group 2 and extraprostatic extension, the association between core features and outcome was statistically significant but clinically weak, and with no evidence of threshold effects. CONCLUSIONS:There is little basis for excluding patients with otherwise low risk prostate cancer on biopsy from active surveillance based on criteria such as the number of positive cores or the maximum cancer involvement of biopsy cores.

SUBMITTER: Audenet F

PROVIDER: S-EPMC5893437 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Biopsy Core Features are Poor Predictors of Adverse Pathology in Men with Grade Group 1 Prostate Cancer.

Audenet François F Vertosick Emily A EA Fine Samson W SW Sjoberg Daniel D DD Vickers Andrew J AJ Reuter Victor E VE Eastham James A JA Scardino Peter T PT Touijer Karim A KA

The Journal of urology 20171010 4

<h4>Purpose</h4>Active surveillance is often restricted to patients with low risk prostate cancer who have 3 or fewer positive cores. We aimed to identify predictors of adverse pathology results for low risk prostate cancer treated with radical prostatectomy and determine whether a threshold number of positive cores could help the decision process for active surveillance.<h4>Materials and methods</h4>A total of 3,359 men with low risk prostate cancer underwent radical prostatectomy between Janua ...[more]

PMID: 29030317

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Project description:PURPOSE:To our knowledge the ideal methodology of quantifying secondary Gleason pattern 4 in men with Grade Group 2/Gleason score 3 + 4 = 7 on biopsy remains unknown. We compared various methods of Gleason pattern 4 quantification and evaluated associations with adverse pathology findings at radical prostatectomy. MATERIALS AND METHODS:A total of 457 men with Grade Group 2 prostate cancer on biopsy subsequently underwent radical prostatectomy at our institution. Only patients with 12 or more reviewed cores were included in analysis. We evaluated 3 methods of quantifying Gleason pattern 4, including the maximum percent of Gleason pattern 4 in any single core, the overall percent of Gleason pattern 4 (Gleason pattern 4 mm/total cancer mm) and the total length of Gleason pattern 4 in mm across all cores. Adverse pathology features at radical prostatectomy were defined as Gleason score 4 + 3 = 7 or greater (Grade Group 3 or greater), and any extraprostatic extension, seminal vesical invasion and/or lymph node metastasis. A training/test set approach and multivariable logistic regression were used to determine whether Gleason pattern 4 quantification methods could aid in predicting adverse pathology. RESULTS:On multivariable analysis all Gleason pattern 4 quantification methods were significantly associated with an increased risk of adverse pathology (p <0.0001) and an increased AUC beyond the base model. The largest AUC increase was 0.044 for the total length of Gleason pattern 4 (AUC 0.728, 95% CI 0.663-0.793). Decision curve analysis demonstrated an increased clinical net benefit with the addition of Gleason pattern 4 quantification to the base model. The total length of Gleason pattern 4 clearly provided the largest net benefit. CONCLUSIONS:Our findings support the inclusion of Gleason pattern 4 quantification in the pathology reports and risk prediction models of patients with Grade Group 2/Gleason score 3 + 4 = 7 prostate cancer. The total length of Gleason pattern 4 across all cores provided the strongest benefit to predict adverse pathology features.

Dataset Information

Biopsy Core Features are Poor Predictors of Adverse Pathology in Men with Grade Group 1 Prostate Cancer.

Publications

Biopsy Core Features are Poor Predictors of Adverse Pathology in Men with Grade Group 1 Prostate Cancer.

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