A prognostic model for predicting overall survival (OS) in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC) treated with abiraterone acetate (AA) after docetaxel.

Authors

null

Kim N. Chi

British Columbia Cancer Agency, Vancouver, BC, Canada

Kim N. Chi , Thian San Kheoh , Charles J. Ryan , Arturo Molina , Joaquim Bellmunt , Nicholas J. Vogelzang , Dana E. Rathkopf , Karim Fizazi , Philip W. Kantoff , Jinhui Li , Johann Sebastian De Bono , Howard I. Scher

Organizations

British Columbia Cancer Agency, Vancouver, BC, Canada, Janssen Research & Development, LLC, Los Angeles, CA, Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, Hospital del Mar, Barcelona, Spain, Comprehensive Cancer Centers of Nevada, Las Vegas, NV, Memorial Sloan-Kettering Cancer Center, New York, NY, Institut Gustave Roussy, University of Paris Sud, Villejuif, France, Dana-Farber Cancer Institute/Harvard Medical School, Boston, MA, Janssen Research & Development, LLC, Raritan, NJ, The Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom

Research Funding

Pharmaceutical/Biotech Company

Background: COU-AA-301 was a multinational, randomized, controlled, phase III trial comparing AA + prednisone (P) (n = 797) versus placebo + P (n = 398) in mCRPC pts post-docetaxel. Using data from that trial, we developed a prognostic model for predicting OS in pts treated with AA post-chemotherapy, with a focus on readily assessable clinical parameters. Methods: The analyses used data from pts treated with AA in the COU-AA-301 trial for whom relevant baseline data were available (n = 729). Baseline variables were assessed for association with OS through a univariate Cox proportional hazards regression model. High/low values for accepted normal ranges were used for laboratory parameters. The Cox proportional hazards regression was used with a stepwise procedure to identify independent prognostic factors for OS. The model was subject to sensitivity analyses and the C-index was utilized as a measure of model accuracy. Results: The following risk factors were associated with a poor prognosis: ECOG performance status (only pts with scores of ≤ 2 were eligible for this trial) of 2 (HR = 2.19, p < 0.0001), presence of liver metastases (HR = 2.00, p < 0.0001), time from start of initial LHRH agonist therapy to start of AA treatment ≤ 36 months (HR = 1.30, p = 0.0078), low albumin (HR = 1.54, p < 0.0001), high ALP (HR = 1.38, p = 0.0016), and high LDH (HR = 2.31, p < 0.0001). Patients were categorized into 3 risk groups (good prognosis, n = 369; intermediate prognosis, n = 321; poor prognosis, n = 107) based on total number of risk factors and median OS calculated for each group (table). The C-index was 0.74 (95% CI: 0.68, 0.80). Conclusions: This prognostic model uses readily available clinical parameters to conveniently assess risk for mCRPC pts previously treated with docetaxel and initiating treatment with AA + P. If validated, the model will be useful in clinical practice and clinical trials. Clinical trial information: NCT00638690.

Number of risk factors Median OS, mos (95% CI) HR (95% CI)
0 or 1 (good) 21.3 (19.4, 27.1) -
2 or 3 (intermediate) 13.9 (11.7, 14.8) 2.30a (1.89, 2.81)
4 to 6 (poor) 6.1 (4.8, 7.2) 6.19a (4.76, 8.05)

aVersus patients with good prognosis.

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Abstract Details

Meeting

2013 ASCO Annual Meeting

Session Type

Poster Discussion Session

Session Title

Genitourinary (Prostate) Cancer

Track

Genitourinary Cancer

Sub Track

Prostate Cancer

Clinical Trial Registration Number

NCT00638690

Citation

J Clin Oncol 31, 2013 (suppl; abstr 5013)

DOI

10.1200/jco.2013.31.15_suppl.5013

Abstract #

5013

Poster Bd #

5

Abstract Disclosures