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Letter to the Editor

Re: R. Jeffrey Karnes, Voleak Choeurng, Ashley E. Ross,

et al. Validation of a Genomic Risk Classifier to

Predict Prostate Cancer-specific Mortality in Men

with Adverse Pathologic Features. Eur Urol. In press.

https://doi.org/10.1016/j.eururo.2017.03.036

Methodological Issue

We read with interest the report by Karnes and

colleagues

[1] .

The authors assessed the predictive perfor-

mance of the Decipher genomic classifier (GC) for the risk of

prostate cancer–specific mortality (PCSM). Their results

demonstrated that the Decipher GC had an area under the

receiver operating characteristic (ROC) curve (AUC) of

0.73 for PCSM within 10 yr of radical prostatectomy.

Addition of the GC yielded AUC of 0.76 for a model with the

Cancer of the Prostate Risk Assessment Postsurgical Score

(CAPRA-S) and AUC of 0.79 for a model with individual

clinical variables

[1] .

Although the results are very interesting, some methodo-

logical and statistical issues should be noted. The authors

mention that the prediction performance will be improved in

models that include the GC with individual clinical variables

and CAPRA-S. However, such a conclusion is a simple and

easy interpretation, because empirical comparisons of AUCs

provided no indication of superiority of prediction perfor-

mance. When several ROC curves are plotted for different

tests on the same data set, we can compare the statistical

difference between AUCs using efficient statistical methods,

accounting for correlation between AUCs derived from the

same data set

[2,3] .

Hence, we suggest that the authors

should reanalyze their data to assess whether the difference

between reported AUCs is statistically significant.

Conflicts of interest:

The authors have nothing to disclose.

References

[1] Karnes RJ, Choeurng V, Ross AE, et al. Validation of a genomic risk

classifier to predict prostate cancer-specific mortality in men with

adverse pathologic features. Eur Urol. In press.

http://dx.doi.org/10. 1016/j.eururo.2017.03.036.

[2]

DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837–45.

[3]

Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148:839–43

.

Erfan Ayubi

a,b

Saeid Safiri

c,

*

a

Department of Epidemiology, School of Public Health, Shahid Beheshti

University of Medical Sciences, Tehran, Iran

b

Department of Epidemiology & Biostatistics, School of Public Health, Tehran

University of Medical Sciences, Tehran, Iran

c

Managerial Epidemiology Research Center, Department of Public Health,

School of Nursing and Midwifery, Maragheh University of Medical Sciences,

Maragheh, Iran

*Corresponding author. Managerial Epidemiology Research Center,

Department of Public Health, School of Nursing and Midwifery,

Maragheh University of Medical Sciences, Maragheh, Iran.

Tel.: +98 41 37276365; fax: +98 41 37276365.

E-mail address:

saeidsafiri@gmail.com

(S. Safiri).

May 17, 2017

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

ava ilable at

www.sciencedirect.com

journal homepage:

www.eu ropeanurology.com

DOI of original article:

http://dx.doi.org/10.1016/j.eururo.2017.03.036

.

http://dx.doi.org/10.1016/j.eururo.2017.05.031

0302-2838/

#

2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.