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Date publication

août 2014

Auteurs

Membres identifiés du Cancéropôle Est :
Dr ARNOULD Laurent , Pr BRUNOTTE François , Dr COUDERT Bruno , Pr COUTANT Charles , Pr FUMOLEAU Pierre , Dr DESMOULINS Isabelle


Tous les auteurs :
Humbert O, Cochet A, Riedinger JM, Berriolo-Riedinger A, Arnould L, Coudert B, Desmoulins I, Toubeau M, Dygai-Cochet I, Guiu S, Coutant C, Fumoleau P, Brunotte F

Résumé

PURPOSE: To investigate the value of (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET/CT) to predict a pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer. MATERIAL AND METHODS: Fifty-seven consecutive women with HER2-positive breast cancer, treated with trastuzumab plus taxane-based NAC, were prospectively included. Maximum Standardized Uptake Value of the primary tumor and axillary nodes were measured at baseline (PET(1).SUVmax) and after the first course of NAC (PET(2).SUVmax). Tumor metabolic volumes were assessed to determine Total Lesion Glycolysis (TLG). The tumor metabolic response (DeltaSUVmax and DeltaTLG) was calculated. RESULTS: In univariate analysis, negative hormonal receptor status (p = 0.04), high tumor grade (p = 0.03), and low tumor PET(2).SUVmax (p = 0.001) were predictive of pCR. Tumor DeltaSUVmax correlated with pCR (p = 0.03), provided that tumors with low metabolic activity at baseline were excluded. DeltaTLG did not correlate with pCR. In multivariate analysis, tumor PET(2).SUVmax < 2.1 was the best independent predictive factor (Odds ratio =14.3; p = 0.004) with both negative and positive predictive values of 76 %. Although the metabolic features of the primary tumor did not depend on hormonal receptor status, both the baseline metabolism and early response of axillary nodes were higher if estrogen receptors were not expressed (p = 0.01 and p = 0.03, respectively). CONCLUSION: In HER2-positive breast cancer, very low tumor residual metabolism after the first cycle of NAC (SUVmax < 2.1) was the main predictor of pCR. These results should be further explored in multicenter studies and incorporated into the design of clinical trials.

Référence

Eur J Nucl Med Mol Imaging. 2014 Aug;41(8):1525-33