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Our findings draw from a longitudinal multisite registry

of men with PCa treated in community, academic, and

Veterans Affairs centers with extended follow-up. As a

result, we were able to assess more robust oncologic

endpoints, including PCSM, as well as metastatic progres-

sion, which may be of great relevance in clinical counseling.

Furthermore, in contrast to publications focusing on

academic institutions, the CaPSURE cohort may better

simulate the implications of implementing the prognostic

Gleason scoring system on a broad scale. In light of

recognized variations in concordance between biopsy and

RP histology for tertiary referral centers and community

pathologists, validation studies within varied care delivery

systems are valuable before widespread adoption

[20] .

In

this regard, our work appears to be in agreement with a

recent analysis by Loeb et al

[7]

for data in the Swedish

National Prostate Cancer Registry. In addition, we included

patients managed across treatment types, including AS/

WW and primary ADT, as most clinical decisions occur at

the time of initial biopsy, including outcomes following

conservative or nondefinitive therapy. Notably, relative to

radical prostatectomy, EBRT, primary ADT, and AS/WW

were independently associated with higher PCSM risk in

multivariate Cox proportional hazards analysis in a direc-

tion consistent with prior comparative studies from

CaPSURE

[21,22]

.

In this analysis, adjusted pairwise comparisons of

outcome between grade groups II and III, as well as IV

and V, were not significantly different, which may reflect

heterogeneity in the quantity of pattern 4, particularly in

distinctions between group II and group III. We did not

detect significant differences in outcome in the highest

grade category (group V); however, this subset represented

the smallest proportion of the cohort (3.4%). Although

similar to other published validation studies addressing

clinical recurrence endpoints, the statistical power for

detection of distinctions among higher Gleason scores is

therefore limited and may mask differences for the highest

grade group category. For example, prior work supports

more precise calculation of the percentage of pattern 4 and

5 on biopsy specimens that offer more granular insights into

the degree of aggressive histologic patterns within biopsy

specimens

[23–26]

. From this perspective, measures to

quantify the percentage of high-grade elements—both

pattern 4 and pattern 5—appear to complement a more

streamlined reporting system

[27]

.

There are additional limitations that must be acknowl-

edged. For example, pathologic designations were made at

the individual treatment sites without routine central

pathologic review, and dedicated uropathologists were

not routinely used at CaPSURE sites. Therefore, we are

unable to assess whether Gleason scores were assigned in

accordance with the 2005 ISUP modification. To account for

changes in practice patterns over time, statistical models

were adjusted for year of diagnosis, as well as the nature of

the clinical site. However, such measures, including

assignment of cribriform patterns as Gleason 4, avoidance

of Gleason sums 2–4, and the use of tertiary patterns within

biopsy specimens, may have little bearing on the highest

Gleason patterns, and should be applied equally at the

lower end of the histologic spectrum. Furthermore, we were

able to evaluate the discrimination of outcome using

pathologic Gleason scores among the subset of men treated

with RP, which serves to offset the contribution of biopsy

undersampling, and more definitively assess an individual’s

future risk of disease progression

[28]

.

Owing to the length of clinical follow-up, this study

represents the only one, to our knowledge, that addresses

PCSM as a primary endpoint across the broad spectrum of

management strategies at diagnosis, including both defini-

tive therapy and conservative approaches. By demonstrating

an association with risk of death from PCa across prognostic

Gleason grade groupings, such a system appears valid and is

poised to dramatically improve the communication of

attendant disease risk to patients and clinicians alike.

5.

Conclusions

We confirm that the new Gleason grouping system is

associated with distant clinical endpoints across manage-

ment strategies, including active surveillance, watchful-

waiting and non-definitive therapy. No significant distinc-

tion in outcome was detected within the Gleason scores

combined within the highest Grade grouping, however this

represented a small proportion of men within the study

cohort.

Author contributions:

Michael S. Leapman had full access to all the data

in the study and takes responsibility for the integrity of the data and the

accuracy of the data analysis.

Study concept and design:

Leapman, Cowan, Roberge, Simko, Cooperberg.

Acquisition of data:

Cowan, Cooperberg, Leapman.

Analysis and interpretation of data:

Cowan, Cooperberg, Leapman.

Drafting of the manuscript:

Leapman, Cowan, Roberge, Stohr, Carroll,

Cooperberg.

Critical revision of the manuscript for important intellectual content:

Leapman, Cowan, Roberge, Stohr, Carroll, Cooperberg.

Statistical analysis:

Leapman, Cowan, Cooperberg.

Obtaining funding:

Carroll, Cooperberg.

Administrative, technical, or material support:

Cooperberg, Carroll.

Supervision:

Cooperberg, Carroll.

Other:

None.

Financial disclosures:

Michael S. Leapman certifies that all conflicts of

interest, including specific financial interests and relationships and

affiliations relevant to the subject matter or materials discussed in the

manuscript (eg, employment/affiliation, grants or funding, consultan-

cies, honoraria, stock ownership or options, expert testimony, royalties,

or patents filed, received, or pending), are the following: None.

Funding/Support and role of the sponsor:

Work by the authors is funded

by the US Department of Defense Prostate Cancer Research Program

(W81XWH-13-2-0074). The sponsor played no direct role in this study.

Appendix A. Supplementary data

Supplementary data associated with this article can be

found, in the online version, at

http://dx.doi.org/10.1016/j. eururo.2016.11.032

.

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