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value over routine clinical information, and the 4K model

performed significantly better than the base model in this

group. The 4Kpanel did not add predictive value to a PSA

clinical model for biopsy decision-making for men at

subsequent surveillance biopsies. This work aims to

provide clinical validation of a biomarker that will help

determine those men who have or will develop aggressive

prostate cancer, allowing for the accurate determination

of those men who may avoid or delay the burden

of immediate treatment safely, while concurrently

identifying men who may optimally benefit from early

treatment.

Author contributions:

Daniel W. Lin 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:

Lin, Newcomb, Sjoberg, Dong, Zheng.

Acquisition of data:

Lin, Newcomb, Brooks, Carroll, Cooperberg, Dash,

Ellis, Fabrizio, Gleave, Morgan, Nelson, Thompson, Zheng.

Analysis and interpretation of data:

Lin, Newcomb, Brown, Sjoberg, Dong,

Nelson, Thompson, Zheng.

Drafting of the manuscript:

Lin, Newcomb, Brown, Sjoberg, Dong, Nelson,

Thompson, Zheng.

Critical revision of the manuscript for important intellectual content:

Lin,

Newcomb, Brown, Sjoberg, Dong, Brooks, Carroll, Cooperberg, Dash, Ellis,

Fabrizio, Gleave, Morgan, Nelson, Thompson, Zheng.

Statistical analysis:

Brown, Sjoberg, Dong, Zheng.

Obtaining funding:

Lin, Newcomb, Nelson, Zheng.

Administrative, technical, or material support:

Lin, Nelson.

Supervision:

Newcomb, Lin, Nelson.

Other:

None.

Financial disclosures:

Daniel W. Lin 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, consultancies, honoraria,

stock ownership or options, expert testimony, royalties, or patents filed,

received, or pending), are the following: Yan Dong is an employee of

OPKO. The remaining authors have nothing to disclose.

Funding/Support and role of the sponsor:

This work was supported by

the Department of Defense (PC130355

)

, the Canary Foundation, and the

Institute for Prostate Cancer Research. The sponsors played a role in

the design and conduct of the study, and collection, management, and

analysis of the data.

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.2016.11.017

.

References

[1]

Ankerst DP, Xia J, T hompson Jr IM, et al. Precision medicine in active surveillance for prostate cancer: development of the Canary-Early Detection Research Network active surveillance biopsy risk calcu- lator. Eur Urol 2015;68:1083–8.

[2]

Parekh DJ, Punnen S, Sjoberg DD, et al. A multi-institutional pro- spective trial in the USA confirms that the 4Kscore accurately identifies men with high-grade prostate cancer. Eur Urol 2015;68: 464–70

.

[3]

Bryant RJ, Sjoberg DD, Vickers AJ, et al. Predicting high-grade cancer at ten-core prostate biopsy using four kallikrein markers measured in blood in the ProtecT study. J Natl Cancer Inst 2015;107(7).

[4]

Newcomb LF, T hompson Jr IM, Boyer HD, et al. Outcomes of active surveillance for clinically localized prostate cancer in the prospective, multi-institutional Canary PASS cohort. J Urol 2016;195:313–20.

[5]

Pan W. Akaike’s information criterion in generalized estimating equations. Biometrics 2001;57:120–5.

[6]

Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 2006;26:565–74.

[7]

US Food and Drug Administration. Innovation or stagnation: chal- lenge and opportunity on the critical path to newmedical products. Washington, DC: US Department of Health and Human Services; 2004.

[8]

McShane LM, Altman DG, Sauerbrei W, et al. Reporting recommen- dations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst 2005;97:1180–4

.

[9]

Hayes DF, Bast RC, Desch CE, et al. Tumor marker utility grading system: a framework to evaluate clinical utility of tumor markers. J Natl Cancer Inst 1996;88:1456–66

.

[10]

Ross HM, Kryvenko ON, Cowan JE, Simko JP, Wheeler TM, Epstein JI. Do adenocarcinomas of the prostate with Gleason score (GS) 6 have the potential to metastasize to lymph nodes? Am J Surg Pathol 2012;36:1346–52.

[11]

Eggener SE, Badani K, Barocas DA, et al. Gleason 6 prostate cancer: translating biology into population health. J Urol 2015;194:626–34

.

[12]

Carter HB, Partin AW, Walsh PC, et al. Gleason score 6 adenocarci- noma: should it be labeled as cancer? J Clin Oncol 2012;30:4294–6

.

[13]

Wilt TJ, Brawer MK, Jones KM, et al. Radical prostatectomy versus observation for localized prostate cancer. N Engl J Med 2012;367: 203–13

.

[14]

Mohler JL, Kantoff PW, Armstrong AJ, et al. Prostate cancer, version 1.2014. J Natl Compr Canc Netw 2013;11:1471–9

.

[15]

Stattin P, Vickers AJ, Sjoberg DD, et al. Improving the specificity of screening for lethal prostate cancer using prostate-specific antigen and a panel of kallikrein markers: a nested case-control study. Eur Urol 2015;68:207–13

.

[16]

Rodriguez Jr E, Skarecky D, Narula N, Ahlering TE. Prostate volume estimation using the ellipsoid formula consistently underestimates actual gland size. J Urol 2008;179:501–3.

[17]

Roobol MJ, van Vugt HA, Loeb S, et al. Prediction of prostate cancer risk: the role of prostate volume and digital rectal examination in the ERSPC risk calculators. Eur Urol 2012;61:577–83

.

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