Evaluation of tumor-size response metrics to predict overall survival in Western and Chinese patients with first-line metastatic colorectal cancer
- PMID: 23650411
- DOI: 10.1200/JCO.2012.45.0973
Evaluation of tumor-size response metrics to predict overall survival in Western and Chinese patients with first-line metastatic colorectal cancer
Abstract
Purpose: To assess new metrics of tumor-size response to predict overall survival (OS) in colorectal cancer (CRC) in Western and Chinese patients.
Patients and methods: Various metrics of tumor-size response were estimated using longitudinal tumor size models and data from two phase III studies that compared bevacizumab plus chemotherapy versus chemotherapy as first-line therapy in Western (n = 923) and Chinese (n = 203) patients with CRC. Baseline prognostic factors and tumor-size metrics estimates were assessed in multivariate models to predict OS. Predictive performances of the models were assessed by simulating multiple replicas of the phase III studies.
Results: Time to tumor growth (TTG) was the best metric to predict OS. TTG fully captured bevacizumab effect. Chinese ethnicity had no impact on OS or on the TTG-OS relationships. The model correctly predicted OS distributions in each arm as well as bevacizumab hazard ratio (model prediction, 0.75 v 0.68 observed in Western patients; 95% prediction interval, 0.62 to 0.91).
Conclusion: TTG captured therapeutic benefit with bevacizumab in first-line CRC patients. Chinese ethnicity had no impact. Longitudinal tumor size data coupled with model-based approaches may offer a powerful alternative in the design and analysis of early clinical studies.
Comment in
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Time to tumor growth: a model end point and new metric system for oncology clinical trials.J Clin Oncol. 2013 Jun 10;31(17):2070-2. doi: 10.1200/JCO.2013.49.3635. Epub 2013 May 6. J Clin Oncol. 2013. PMID: 23650409 No abstract available.
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Reply to U.R. Mansmann et al and M.-W. An et al.J Clin Oncol. 2013 Dec 1;31(34):4374-5. doi: 10.1200/JCO.2013.52.5733. Epub 2013 Oct 28. J Clin Oncol. 2013. PMID: 24166517 No abstract available.
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Application of tumor measurement-based metrics in the real world.J Clin Oncol. 2013 Dec 1;31(34):4374. doi: 10.1200/JCO.2013.52.3662. Epub 2013 Oct 28. J Clin Oncol. 2013. PMID: 24166528 No abstract available.
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Methodologic diligence is needed to define and validate tumor-size response metrics to predict overall survival in first-line metastatic colorectal cancer.J Clin Oncol. 2013 Dec 1;31(34):4373-4. doi: 10.1200/JCO.2013.51.2954. Epub 2013 Oct 28. J Clin Oncol. 2013. PMID: 24166531 No abstract available.
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The use of model-based tumor-size metrics to predict survival.Clin Pharmacol Ther. 2014 Aug;96(2):133-5. doi: 10.1038/clpt.2014.111. Clin Pharmacol Ther. 2014. PMID: 25056389 No abstract available.
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Assessment of tumor growth inhibition metrics to predict overall survival.Clin Pharmacol Ther. 2014 Aug;96(2):135-7. doi: 10.1038/clpt.2014.112. Clin Pharmacol Ther. 2014. PMID: 25056390 No abstract available.
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