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人表皮生长因子受体2阳性乳腺癌:¹⁸F-氟代脱氧葡萄糖正电子发射断层扫描用于预测曲妥珠单抗联合紫杉类新辅助化疗的早期反应

HER2-positive breast cancer: ¹⁸F-FDG PET for early prediction of response to trastuzumab plus taxane-based neoadjuvant chemotherapy.

作者信息

Humbert Olivier, Cochet Alexandre, Riedinger Jean-Marc, Berriolo-Riedinger Alina, Arnould Laurent, Coudert Bruno, Desmoulins Isabelle, Toubeau Michel, Dygai-Cochet Inna, Guiu Séverine, Coutant Charles, Fumoleau Pierre, Brunotte François

机构信息

Department of Nuclear Medicine, Centre GF Leclerc, 1 rue du Pr Marion, 21000, Dijon, France,

出版信息

Eur J Nucl Med Mol Imaging. 2014 Aug;41(8):1525-33. doi: 10.1007/s00259-014-2739-1. Epub 2014 Mar 20.

Abstract

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 (PET₁.SUVmax) and after the first course of NAC (PET₂.SUVmax). Tumor metabolic volumes were assessed to determine Total Lesion Glycolysis (TLG). The tumor metabolic response (ΔSUVmax and ΔTLG) was calculated.

RESULTS

In univariate analysis, negative hormonal receptor status (p = 0.04), high tumor grade (p = 0.03), and low tumor PET₂.SUVmax (p = 0.001) were predictive of pCR. Tumor ΔSUVmax correlated with pCR (p = 0.03), provided that tumors with low metabolic activity at baseline were excluded. ΔTLG did not correlate with pCR. In multivariate analysis, tumor PET₂.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.

摘要

目的

探讨¹⁸F-氟脱氧葡萄糖正电子发射断层扫描(¹⁸F-FDG PET/CT)在预测人表皮生长因子受体2(HER2)阳性乳腺癌女性新辅助化疗(NAC)后病理完全缓解(pCR)方面的价值。

材料与方法

前瞻性纳入57例连续接受曲妥珠单抗加紫杉类NAC治疗的HER2阳性乳腺癌女性患者。在基线(PET₁.SUVmax)和NAC第一个疗程后(PET₂.SUVmax)测量原发肿瘤和腋窝淋巴结的最大标准化摄取值。评估肿瘤代谢体积以确定总病变糖酵解(TLG)。计算肿瘤代谢反应(ΔSUVmax和ΔTLG)。

结果

单因素分析中,激素受体阴性状态(p = 0.04)、高肿瘤分级(p = 0.03)和低肿瘤PET₂.SUVmax(p = 0.001)可预测pCR。肿瘤ΔSUVmax与pCR相关(p = 0.03),前提是排除基线代谢活性低的肿瘤。ΔTLG与pCR不相关。多因素分析中,肿瘤PET₂.SUVmax < 2.1是最佳独立预测因素(比值比 = 14.3;p = 0.004),阴性和阳性预测值均为76%。尽管原发肿瘤的代谢特征不依赖于激素受体状态,但如果雌激素受体未表达,腋窝淋巴结的基线代谢和早期反应均较高(分别为p = 0.01和p = 0.03)。

结论

在HER2阳性乳腺癌中,NAC第一个周期后极低的肿瘤残留代谢(SUVmax < 2.1)是pCR的主要预测因素。这些结果应在多中心研究中进一步探索,并纳入临床试验设计。

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