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Journal of Clinical Oncology, Vol 23, No 33 (November 20), 2005: pp. 8543-8544 © 2005 American Society of Clinical Oncology. DOI: 10.1200/JCO.2005.03.7374
Computer Modeling Is No Substitute for Randomized Clinical Trials for Decision Making in Early Breast Cancer Hormonal TherapyUniversity Hospital Ghent, Gent, VL, Belgium To the Editor: We read with great interest the timely article by Punglia et al1 concerning the sequence and timing of tamoxifen and an aromatase inhibitor (AI). Although the methodology of a Markov chain model is appropriate in these circumstances the results rely critically on the model parameters used. We repeated the Markov modelling experiment, using the same model and software and came up with different conclusions due to a number of errors in the parameters as presented in the article. In Figure 1B sequential models are represented as if patients got 2.5 years of tamoxifen followed by 5 years of an AI. As interesting as this option may be, none of the cited trials2-4 has actually used this treatment scheme, so using their hazard ratios to model a 7-year hormonal treatment cannot be based on available clinical evidence. In the Markov decision model used by Punglia et al, they model only locoregional recurrence or new primaries and distant recurrences and NOT survival, but in Table 2 and Figure 2 of the article, the term disease-free survival (DFS) is used. In the cited studies,2-4 DFS includes deaths without breast cancer recurrence. Adding to this confusion is the use (in Fig 1C and Table 1) of hazard ratios (HRs) thatin the corresponding original articlerefer to DFS events (as in ATAC2: DFS HR = 0.82 and IES3: DFS HR = 0.67) or local or distant recurrences (as in MA-174: local or distant recurrence HR = 0.57). In a similar recurrence modelling experiment, presented at the 41st Annual Meeting of the American Society of Clinical Oncology, Cuzick et al5 used as HRs for 5 years AI (based on ATAC2) 0.74; 2 years of tamoxifen followed by an AI (based on IES3) 0.65 and after 5 years of tamoxifen (based on MA-174) 0.58. Unsurprisingly, Cuzick arrives at different conclusions. All cited clinical trials2-4 give different HR for node-positive and node-negative patients. We wondered why these more precise HRs were not used in the modelling by Punglia. The sensitivity analysis parameters based on ITA data as given in Table 1 and concerning cross-over to an AI after 5 years are purely speculative and should be presented as such in Table 2 and Figure 2. It is my conviction that the modelling result is undecided and thustaking into account the uncertaintiesinconclusive. Using a correct (based on local and distant recurrences) set of HR parameters changes its conclusions. Clinical decisions can only be guided by large randomized clinical trials. BIG 1-98 is the first trial that will provide us answers concerning the optimal sequence and timing of tamoxifen and an AI. Authors Disclosures of Potential Conflicts of Interest The author indicated no potential conflicts of interest. REFERENCES
1. Punglia RS, Kuntz KM, Winer EP, et al: Optimizing adjuvant endocrine therapy in postmenopausal women with early-stage breast cancer: A decision analysis. J Clin Oncol 23:5178-5187, 2005 2. Baum M, Buzdar AU, Cuzick J, et al: Anastrozole alone or in combination with tamoxifen versus tamoxifen alone for adjuvant treatment of postmenopausal women with early breast cancer: First results of the ATAC randomised trial. Lancet 359:2131-2139, 2002[CrossRef][Medline]
3. Coombes RC, Hall E, Gibson LJ, et al: A randomized trial of exemestane after two or three years of tamoxifen therapy in postmenopausal women with primary breast cancer. N Engl J Med 350:1081-1090, 2004
4. Goss PE, Ingle JN, Martino S, et al: A randomized trial of letrozole in postmenopausal women after five years of tamoxifen therapy for early-stage breast cancer. N Engl J Med 349:1793-1802, 2003 5. Cuzick J, Howell A: Optimal timing of the use of an aromatase inhibitor in the adjuvant treatment of postmenopausal hormone receptor-positive breast cancer. J Clin Oncol 23:43s, 2005 (suppl, abstr 658)
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Copyright © 2005 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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