Department of Medical Oncology, CHU Farhat Hached, Sousse, Tunisia.
Obesity (Silver Spring). 2010 May 6. doi: 10.1038/oby.2010.101.
In this article, we evaluated BMI and response to neoadjuvant chemotherapy (NC) in premenopausal Tunisian women with operable breast cancer. From May 2006 to July 2009, 800 patients were diagnosed and received NC from CHU Farhat Hached (Sousse, Tunisia). Patients were categorized as obese (BMI >/=30 kg/m(2)), overweight (25 </= BMI < 30 kg/m(2)), or normal/underweight (BMI <25 kg/m(2)). Logistic regression was used to examine associations between BMI and pathologic complete response (pCR). Breast cancer-specific, progression-free, and overall survival times were examined using the Kaplan-Meier method and Cox proportional hazards regression analysis. Median age was 42 years; 27% of patients were obese, 25% were overweight, and 48% were normal or underweight. In the univariate model, there was a significant difference in pCR to NC for obese compared with normal/underweight patients. In multivariate analysis, there was no significant difference in pCR for obese compared to normal weight patients. Overweight and the combination of overweight and obese patients were significantly less likely to have a pCR (odds ratio (OR) = 0.59; 95% confidence interval (CI), 0.37-0.95; and OR = 0.67; 95% CI, 0.45-0.99, respectively). Higher BMI was associated with worse pCR to NC. So, its association with worse overall survival suggests that greater attention should be focused on this risk factor to optimize the care of breast cancer patients.
本文评估了 BMI 及新辅助化疗(NC)应答在突尼斯可手术乳腺癌绝经前妇女中的作用。2006 年 5 月至 2009 年 7 月,800 例患者于突尼斯苏塞 Farhat Hached 医疗中心接受 NC。患者分为肥胖(BMI≥30kg/m²)、超重(25kg/m²≤BMI<30kg/m²)和正常/体重不足(BMI<25kg/m²)。使用 logistic 回归分析 BMI 与病理完全缓解(pCR)之间的相关性。使用 Kaplan-Meier 方法和 Cox 比例风险回归分析评估乳腺癌特异性、无进展和总生存时间。中位年龄为 42 岁,27%的患者肥胖,25%超重,48%正常/体重不足。单因素模型中,NC 后肥胖患者 pCR 显著低于正常/体重不足患者。多因素分析中,肥胖与正常体重患者 pCR 无显著差异。超重和超重+肥胖患者 pCR 显著降低(OR=0.59;95%CI:0.37-0.95;OR=0.67;95%CI:0.45-0.99)。BMI 越高,NC 后 pCR 越差。因此,BMI 与较差的总体生存相关,这表明应更加关注该风险因素,以优化乳腺癌患者的治疗。