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      An adaptive population enrichment phase III trial of TRC105 and pazopanib versus pazopanib alone in patients with advanced angiosarcoma (TAPPAS trial)

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          Abstract

          Background

          Major challenges in clinical trials of ultra-orphan oncology diseases include limited patient availability and paucity of reliable prior data for estimating the treatment effect and, therefore, determining optimal sample size. Angiosarcoma (AS), a particularly aggressive form of soft tissue sarcoma with an incidence of about 2000 cases per year in the United States and Europe is poorly addressed by current systemic therapies. Pazopanib, an inhibitor of vascular endothelial growth factor receptor (VEGFR) is approved for the treatment of AS, with modest benefit. TRC105 (carotuximab) is a monoclonal antibody to endoglin, an essential angiogenic target highly expressed on proliferating endothelium and both tumor vessels and tumor cells in AS, that has the potential to complement VEGFR tyrosine kinase inhibitors. In a phase I/II study of soft tissue sarcoma, TRC105 combined safely with pazopanib and the combination demonstrated durable complete responses and encouraging progression-free survival (PFS). In addition, there was a suggestion of superior benefit in patients with cutaneous lesions versus those with the non-cutaneous lesions.

          Patients and methods

          This article describes the design of a recently initiated phase III trial of TRC105 And Pazopanib versus Pazopanib alone in patients with advanced AngioSarcoma (TAPPAS trial). Given the ultra-orphan status of the disease and the paucity of reliable prior data on PFS or overall survival (end points required for regulatory approval as a pivotal trial), an adaptive design incorporating population enrichment and sample size re-estimation was implemented. The design incorporated regulatory input from the Food and Drug Administration (FDA) and European Medicines Agency and proceeded following special protocol assessment designation by the FDA.

          Conclusions

          It is shown that the benefit of the adaptive design as compared with a conventional single-look design arises from the learning and subsequent improvements in power that occur after an unblinded analysis of interim data.

          Registered on Clinicaltrials.gov

          NCT02979899.

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          Most cited references6

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          • Article: not found

          Adaptive increase in sample size when interim results are promising: a practical guide with examples.

          This paper discusses the benefits and limitations of adaptive sample size re-estimation for phase 3 confirmatory clinical trials. Comparisons are made with more traditional fixed sample and group sequential designs. It is seen that the real benefit of the adaptive approach arises through the ability to invest sample size resources into the trial in stages. The trial starts with a small up-front sample size commitment. Additional sample size resources are committed to the trial only if promising results are obtained at an interim analysis. This strategy is shown through examples of actual trials, one in neurology and one in cardiology, to be more advantageous than the fixed sample or group sequential approaches in certain settings. A major factor that has generated controversy and inhibited more widespread use of these methods has been their reliance on non-standard tests and p-values for preserving the type-1 error. If, however, the sample size is only increased when interim results are promising, one can dispense with these non-standard methods of inference. Therefore, in the spirit of making adaptive increases in trial size more widely appealing and readily implementable we here define those promising circumstances in which a conventional final inference can be performed while preserving the overall type-1 error. Methodological, regulatory and operational issues are examined. Copyright © 2010 John Wiley & Sons, Ltd.
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            • Article: not found

            Endoglin for targeted cancer treatment.

            Endoglin is a homodimeric cell membrane glycoprotein receptor for transforming growth factor β and bone morphogenetic proteins. Endoglin is essential for angiogenesis, being densely expressed on proliferating endothelial cells and upregulated during hypoxia. Its expression is implicated in development of resistance to vascular endothelial growth factor (VEGF) inhibition. TRC105 is an antibody that binds endoglin and prevents endothelial cell activation. Targeting endoglin and the VEGF pathway concurrently improves treatment in vitro and appears to reverse resistance to bevacizumab in some refractory cancer patients. Randomized trials are under way to assess the clinical benefit of adding TRC105 therapy to bevacizumab therapy. Further trials are under way to assess the activity of TRC105 with small-molecule inhibitors of the VEGF pathway in renal cell carcinoma, hepatocellular carcinoma, and soft tissue sarcoma. Stratification of soft tissue sarcomas based on endoglin expression levels is proposed to identify patients most likely to benefit from TRC105 treatment. The development of a TRC105 antibody-drug conjugate is also described.
              • Record: found
              • Abstract: not found
              • Article: not found

              Endoglin interacts with VEGFR2 to promote angiogenesis

                Author and article information

                Journal
                Ann Oncol
                Ann. Oncol
                annonc
                Annals of Oncology
                Oxford University Press
                0923-7534
                1569-8041
                January 2019
                24 October 2018
                24 October 2018
                : 30
                : 1 , Tumor mutation burden as an immunotherapy biomarker
                : 103-108
                Affiliations
                [1 ]Department of Biostatistics, Cytel Inc, Cambridge
                [2 ]Department of Biostatistics, Harvard TH Chan School of Public Health, Boston
                [3 ]Clinical Department, TRACON Pharmaceuticals, San Diego, USA
                Author notes
                Correspondence to: Dr Cyrus R. Mehta, Department of Biostatistics, Cytel Inc., 675 Massachusetts Avenue, Cambridge, MA 02139, USA. Tel: +1-617-448-3849; E-mail: mehta@ 123456cytel.com
                Author information
                http://orcid.org/0000-0003-0724-3104
                Article
                mdy464
                10.1093/annonc/mdy464
                6336002
                30357394
                5aef4e2b-99e6-43bf-bf06-65e9d7fa3114
                © The Author(s) 2018. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                Page count
                Pages: 6
                Categories
                Original Articles
                Statistics and Trial Methodology

                Oncology & Radiotherapy
                population enrichment,adaptive design,angiosarcoma,sample size re-estimation,promising zone

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