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a range of plausible cost and benefit ratios

( Fig. 1

and

Supplementary Fig. 3).

The clinical consequences, or the number of biopsies and

the number of high-grade cancers that could be avoided or

delayed per 1000 patients, were illustrated based on

prediction models with the 4Kpanel or PSA

( Table 5 )

. For

example, using a model with the 4Kpanel and a clinical rule

of only performing an initial surveillance biopsy in patients

whose risk of high-grade cancer exceeded 10%, 252 biopsies

would be avoided, 19 of which would contain high-grade

cancer as defined by any pattern 4 disease, and zero biopsies

with primary Gleason 4. Comparing the two models at the

same numbers of biopsies avoided (Supplementary Fig. 4)

shows that the 4K model appears to miss fewer higher-

grade cancers while avoiding the same number of initial

biopsies.

4.

Discussion

In this study using a prospectively enrolled multi-institu-

tional cohort of men on active surveillance, we show that

addition of a panel of four kallikrein markers to a model that

includes clinical information can significantly improve

prediction of the outcome in the first surveillance biopsy.

Both models performed comparably for prediction of

reclassification in subsequent biopsies. Importantly, in

DCA both models showed a higher net benefit compared

to biopsy-all and biopsy-none strategies. Lastly, we showed

that the 4Kpanel added to currently available clinical

metrics and how the results impact clinical management.

There is a growing body of evidence that true Gleason

6 prostate cancer is indolent and will not cause harm if left

untreated

[10–12] .

This knowledge is balanced by the

known undersampling in prostate needle biopsies, and

while some have advocated that select Gleason 3 + 4 cancers

may undergo surveillance, level 1 clinical trial data and

treatment guidelines generally recommend treatment of

higher-grade cancers, including Gleason 3 + 4 disease

[13,14]

. Our efforts focus on developing tools for use after

diagnosis of Gleason 6 prostate cancer to provide a higher

degree of certainty that no occult high-grade cancer was

missed at diagnosis. More accurate tools would not only

support the practice of active surveillance but could also

promote less intensive monitoring regimens.

A panel of four kallikreins, when combined in a

mathematical algorithm, improves the prediction of newly

diagnosed high-grade (Gleason 7) cancer

[3]

. This panel of

markers also improved long-term prediction of metastatic

disease among men with PSA 2 in a Swedish cohort

[15]

. In

this study, we asked whether the same panel of markers

[3]

improved the prediction of high-grade disease in surveil-

lance biopsies of men already diagnosed with Gleason

[(Fig._1)TD$FIG]

Fig. 1 – Decision curve analysis for full models with serum Prostate-specific antigen (PSA) or with the 4Kpanel. Strategies for biopsying all men (biopsy

all) or no men (biopsy none) are also shown. The line with the highest net benefit at any particular threshold probability for biopsy (

x

-axis) will yield

the best clinical results.

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 4 4 8 – 4 5 4

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