Patient-level meta-analysis of randomized trials of aromatase inhibitors (AI) versus tamoxifen (Tam).

Authors

null

John F. Forbes

University of Newcastle, ANZBCTG, Calvary Mater Newcastle Hospital, Newcastle, Australia

John F. Forbes , Mitchell Dowsett , Rosie Bradley , James N. Ingle , Tomohiko Aihara , Judith M. Bliss , Francesco Mario Boccardo , Alan S. Coates , R. Charles Coombes , Jack M. Cuzick , Peter Christian Dubsky , Michael Gnant , Manfred Kaufmann , Lucy S Kilburn , Francesco Perrone , Daniel Rea , Beat J. K. Thurlimann , Cornelis J. H. Van De Velde , Christina Davies , Richard G. Gray

Organizations

University of Newcastle, ANZBCTG, Calvary Mater Newcastle Hospital, Newcastle, Australia, The Royal Marsden NHS Foundation Trust, London, United Kingdom, University of Oxford, Oxford, United Kingdom, Mayo Clinic, Rochester, MN, Aihara Hospital, Mino, Japan, The Institute of Cancer Research, London, United Kingdom, School of Medicine and Pharmaceutics, University of Genoa, Genoa, Italy, University of Sydney, Sydney, Australia, Imperial College Healthcare NHS Trust, London, United Kingdom, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, United Kingdom, Department of Surgery, Medical University of Vienna, Vienna, Austria, Comprehensive Cancer Center, Department of Surgery, Medical University of Vienna, Vienna, Austria, University of Frankfurt, Frankfurt, Germany, Clinical Trials Unit, National Cancer Institute, Napoli, Italy, University of Birmingham, Birmingham, United Kingdom, Kantonsspital St. Gallen, St. Gallen, Switzerland, Department of Surgery, Leiden University Medical Center, Leiden, Netherlands

Research Funding

No funding sources reported

Background: The optimal way to schedule AIs and/or Tam in the adjuvant treatment of early breast cancer remains uncertain. Methods: ITT meta-analysis of individual patient data on 36 889 post-menopausal women with ER-positive invasive breast cancers in randomised trials of [A] Continuous AI (5yrs) vs Tam (5yrs); [B] Sequential Tam then AI (2-3yrs of Tam then 2-3 yrs AI) vs Tam (5yrs); [C] Continuous AI (5yrs) vs Sequential Tam then AI (5yrs). Results: [A] Fewer women had breast cancer recurrence with Continuous AI than Tam (827/4,970 vs 964/4,915, p<0.0001) and fewer died of breast cancer: 504 vs 562; rate ratio (RR) 0.86 [0.76-0.97], p=0.014. Recurrence RRs were: 0.66 during yrs 0-1 [95%CI 0.54-0.80], 0.75 during yrs 2-4 [0.64-0.88] and 0.90 in yrs 5+ [0.79-1.04]. [B] Recurrence was also lower with Sequential Tam then AI than with Tam alone (753/5,909 vs 863/5,889, p=0.0001) as was breast cancer mortality (361 vs 428 deaths; RR 0.84 [0.73-0.97], p=0.015). Recurrence RRs were 0.56 during yrs 2-4 [0.46-0.67] and 0.97 in yrs 5+ [0.86-1.09]. [C] In trials comparing Continuous AI versus Sequential Tam then AI, recurrence was lower with AI than Tam during yrs 0-1; RR 0.75 [0.62-0.89], but similar during yrs 2-4 (0.99 [0.85-1.15]), when both groups received AI, and in yrs 5+ (0.96 [0.76-1.21]) after treatment completion; overall, there were fewer recurrences with Continuous AI than Sequential Tam then AI (705/6,422 vs 764/6,377, RR 0.90 [0.81-1.00]; 5yr recurrence 9.6% vs 10.7%, p=0.042) and fewer breast cancer deaths (395 vs 432; 0.89 [0.77-1.02], p=0.097). In the 3 comparisons, proportional recurrence reductions did not differ much by age, nodal status, tumour grade, or PR status and, overall, fewer endometrial cancers (0.2% vs 0.6%, RR=0.37 [0.27-0.51]) but more fractures (8.1% vs 5.9%, RR=1.40 [1.27-1.53]) were seen with AIs than Tam; non-breast deaths were similar. Conclusions: AIs, in either Continuous or Sequential regimens, are even more effective than Tam monotherapy in preventing recurrence and breast cancer death, despite substantial cross-over from Tam to AI in some studies. Recurrence reductions are seen mainly while treatments differ, hence somewhat fewer recurrences with Continuous AI than Sequential Tam then AI.

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Abstract Details

Meeting

2014 ASCO Annual Meeting

Session Type

Poster Highlights Session

Session Title

Breast Cancer - HER2/ER

Track

Breast Cancer

Sub Track

ER+

Citation

J Clin Oncol 32:5s, 2014 (suppl; abstr 529)

DOI

10.1200/jco.2014.32.15_suppl.529

Abstract #

529

Poster Bd #

19

Abstract Disclosures