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Poster display session

2114 - Prostascore: a simplified tool for predicting outcomes among patients with treatment-naïve advanced prostate cancer.

Date

10 Sep 2017

Session

Poster display session

Topics

Prostate Cancer

Presenters

Omar Abdel-Rahman

Citation

Annals of Oncology (2017) 28 (suppl_5): v269-v294. 10.1093/annonc/mdx370

Authors

O. Abdel-Rahman

Author affiliations

  • Clinical Oncology, Ain Shams University Faculty of Medicine, 11566 - Cairo/EG
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Resources

Abstract 2114

Background

The objective of this study is to propose and validate a new simplified model “prostascore” to help predict the outcomes of treatment-naïve patients with advanced prostate cancer.

Methods

Through SEER*Stat program, surveillance, epidemiology and end results (SEER) database was queried for eligible records spanning the period from 2010 to 2013. Multivariate analysis for the candidate prognostic factors (extent of extra-prostatic disease, PSA level and grade) was conducted through a Cox proportional model. Prostascore was then calculated for each patient. Cancer-specific and overall survival analyses according to prostascore were conducted through Kaplan-Meier analysis/log-rank testing.

Results

A total of 8727 patients with treatment-naïve advanced prostate cancer and complete baseline data were identified in the period from 2010-2013. The following factors were associated with better cancer-specific survival (isolated regional nodal disease, lower PSA level and lower grade group) (P 

Conclusions

Prostascore is an easy and reliable tool for predicting the outcomes of patients with treatment-naïve advanced prostate cancer. Further validation within the context of other treatment settings and population-based cohorts is recommended.

Clinical trial identification

Legal entity responsible for the study

Omar Abdel-Rahman

Funding

None

Disclosure

All authors have declared no conflicts of interest.

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