Prognostic factors for survival in the phase III TROPIC trial.

Authors

A. Sartor

A. Oliver Sartor

Tulane Cancer Center, New Orleans, LA

A. Oliver Sartor , Stéphane Oudard , Mustafa Ozguroglu , Steinbjorn Hansen , Jean-Pascal H. Machiels , Ivo Kocak , Gwenaelle Gravis , Istvan Bodrogi , Mary J. MacKenzie , Francisco Jorquera Orlandi , Liji Shen , Johann Sebastian De Bono

Organizations

Tulane Cancer Center, New Orleans, LA, Hôpital Européen Georges Pompidou, Paris, France, Istanbul University, Istanbul, Turkey, Odense University Hospital, Odense, Denmark, Cancer Center, Université Catholique de Louvain, Brussels, Belgium, Masarykùv Onkologický Ustav, Brno, Czech Republic, Department of Medical Oncology, Institut Paoli Calmettes, INSERM UMR 891, Marseille, France, National Institute of Oncology, Budapest, Hungary, London Regional Cancer Program, London, ON, Canada, ONCOMED, Providencia, Chile, Sanofi, Malvern, PA, The Institute for Cancer Research and Royal Marsden Hospital, Sutton, United Kingdom

Research Funding

Pharmaceutical/Biotech Company

Background: In TROPIC (NCT00417079) 755 men were randomized (378 cabazitaxel/prednisone [CbzP]; 377 mitoxantrone/prednisone [MP]). Treatment arms were well balanced; ECOG PS 0–1 (93% CbzP vs 91% MP), measurable disease (53% vs 54%), baseline pain (46% vs 45%) and ≤ 6 months from last dose of docetaxel (D) to randomization (62% vs 72%). CbzP significantly improved overall survival (OS) in mCRPC pts who progressed on or after D treatment compared with MP (HR 0.70; CI 0.59–0.83; P < 0.0001). We investigated overall prognosis and performed a multivariate analysis of factors implicated in OS from this robust dataset. Methods: A univariate analysis of a variety of factors followed by a multivariate analysis of all factors was conducted. Interactions with treatment arms were explored. Cox proportional hazard models were used to examine the effect of treatment and prognostic factors on OS. Results: In addition to the significant effect of treatment received, the univariate analysis identified ECOG PS and measurable disease at baseline, time from last dose of D to randomization, time of progression after last D treatment and pain scores at baseline as significant prognostic factors for OS. Interactions of each of these factors with the treatment were not statistically distinct, suggesting that CbzP survival benefit was consistent among the subgroups defined by these factors. After adjustments for all prognostic factors, multivariate analysis identified ECOG PS 2, measurable disease, time of last dose of D to randomization (≤ 6 months vs > 6 months) and presence of baseline pain as statistically significant prognostic factors. Following adjustments, the treatment effect on survival (CbzP vs MP) remained statistically significant (Table). Conclusions: ECOG PS, measurable disease at baseline, time from last D dose to randomization, baseline pain and CbzP treatment predicted OS in patients in the TROPIC study in a multivariate analysis.


Prognostic factor HR
(95% CI)
P value

ECOG PS 2, yes vs no 2.74 (2.03–3.71) < 0.0001
Measurable disease, yes vs no 1.39 (1.15–1.70) 0.0009
Time of last dose of D to randomization,
≤ 6 months vs > 6 months
2.04 (1.63–2.55) < 0.0001
Baseline pain assessed, yes vs no 1.92 (1.57–2.34) < 0.0001
Treatment, CbzP vs MP 0.75 (0.62–0.91) 0.0039

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Abstract Details

Meeting

2012 Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

General Poster Session B: Prostate Cancer

Track

Prostate Cancer

Sub Track

Prostate Cancer

Clinical Trial Registration Number

NCT00417079

Citation

J Clin Oncol 30, 2012 (suppl 5; abstr 102^)

Abstract #

102^

Poster Bd #

B7

Abstract Disclosures