<sup>18</sup>F-FDG PET/CT for Early Prediction of Response to Neoadjuvant Lapatinib, Trastuzumab, and Their Combination in HER2-Positive Breast Cancer: Results from Neo-ALTTO

Géraldine Gebhart(Université Libre de Bruxelles), Cristina Gámez(Bellvitge University Hospital), Eileen Holmes(Frontier Agriculture (United Kingdom)), Javier Robles(Bellvitge University Hospital), Camilo Garcia(Université Libre de Bruxelles), Montserrat Cortés(Bellvitge University Hospital), Evandro de Azambuja(Université Libre de Bruxelles), Karine Fauria, Veerle Van Dooren(Breast International Group), Gursel Aktan(GlaxoSmithKline (United States)), M.A. Coccia-Portugal(Breast Cancer Care), Sung‐Bae Kim(Ulsan College), Peter Vuylsteke(Clinique Saint-Joseph), Hervé Curé(Institut Jean Godinot), Holger Eidtmann(Christian-Albrechts-Universität zu Kiel), José Baselga(Harvard University), Martine Piccart(Université Libre de Bruxelles), Patrick Flamen(Université Libre de Bruxelles), Serena Di Cosimo(Fondazione IRCCS Istituto Nazionale dei Tumori)
Journal of Nuclear Medicine
October 3, 2013
Cited by 159Open Access
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Abstract

UNLABELLED: Molecular imaging receives increased attention for selecting patients who will benefit from targeted anticancer therapies. Neo-ALTTO (Neoadjuvant Lapatinib and/or Trastuzumab Treatment Optimisation) enrolled 455 women with invasive human epidermal growth factor receptor 2 (HER2)-positive breast cancer and compared rates of pathologic complete response (pCR) to neoadjuvant lapatinib, trastuzumab, and their combination. Each anti-HER2 therapy was given alone for 6 wk, followed by 12 wk of the same therapy plus weekly paclitaxel. The early metabolic effects of the anti-HER2 therapies on the primary tumors and their predictive values for pCR were assessed in a subset of patients. METHODS: Eighty-six patients underwent (18)F-FDG PET/CT at baseline and weeks 2 and 6 of anti-HER2 treatment. An imaging core laboratory provided central validation, and 2 independent reviewers, masked to assigned treatment arm and clinical outcomes, performed consensus (18)F-FDG PET/CT readings. Maximum standardized uptake value (SUVmax) reductions from baseline were used to measure metabolic response. RESULTS: Seventy-seven of the 86 enrolled patients presented an evaluable baseline (18)F-FDG PET/CT scan; of these, 68 and 66 were evaluable at weeks 2 and 6, respectively. Metabolic responses in the primary tumors were evident after 2 wk of targeted therapy and correlated highly with metabolic responses at week 6 (R(2) = 0.81). pCRs were associated with greater SUVmax reductions at both time points. Mean SUVmax reductions for pCR and non-pCR, respectively, were 54.3% versus 32.8% at week 2 (P = 0.02) and 61.5% versus 34.1% at week 6 (P = 0.02). (18)F-FDG PET/CT metabolic response rates at weeks 2 and 6 were 71.6% and 60%, respectively using European Organization for Research and Treatment of Cancer criteria; pCR rates were twice as high for (18)F-FDG PET/CT responders than nonresponders (week 2: 42% vs. 21%, P = 0.12; week 6: 44% vs. 19%, P = 0.05). CONCLUSION: Early metabolic assessment using (18)F-FDG PET/CT can identify patients with an increased likelihood of pCR after neoadjuvant trastuzumab, lapatinib, or their combination when given with chemotherapy.


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