Dissecting the heterogeneity of localized prostate cancer risk groups through integration of percent of positive cores

Omar Abdel-Rahman

doi:10.2217/fon-2017-0596

Dissecting the heterogeneity of localized prostate cancer risk groups through integration of percent of positive cores

Future Oncol. 2018 Jun;14(15):1469-1476. doi: 10.2217/fon-2017-0596. Epub 2018 May 10.

Author

Omar Abdel-Rahman^{1

2}

Affiliations

¹ Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Lotfy El Sayed Street, Cairo, 11566, Egypt.
² Department of Oncology, University of Calgary and Tom Baker Cancer Center, Calgary, Alberta T2N4N2, Canada.

PMID: 29745768
DOI: 10.2217/fon-2017-0596

Abstract

Aim: To develop a modified risk stratification scheme for localized prostate cancer incorporating percent of positive cores (PPC).

Methods: SEER database was accessed for eligible patients. Assessment of the prognostic value of PPC was conducted in a multivariate Cox regression model. A modified risk stratification scheme was proposed.

Results: In a multivariate model, higher PPC was associated with worse cancer-specific survival (p < 0.0001). A modified risk-stratification scheme was proposed incorporating PPC. Concordance index was evaluated and the results were: D'Amico model: 0.782 (SE: 0.014; 95% CI: 0.755-0.810); modified model: 0.809 (SE: <0.001; 95% CI: 0.781-0.837).

Conclusion: Integration of PPC into the risk stratification model for localized prostate cancer improves its performance.

Keywords: localized disease; positive cores; prognosis; prostate carcinoma.

MeSH terms

Aged
Follow-Up Studies
Humans
Kaplan-Meier Estimate
Male
Neoplasm Grading / methods
Neoplasm Staging / methods
Predictive Value of Tests
Prognosis
Prostate / pathology*
Prostatic Neoplasms / mortality
Prostatic Neoplasms / pathology*
Retrospective Studies
Risk Assessment / methods
SEER Program / statistics & numerical data