Mayo Clinic, Rochester, MN 55905, USA.
J Clin Oncol. 2010 Aug 1;28(22):3591-6. doi: 10.1200/JCO.2010.28.0784. Epub 2010 Jul 6.
Accurate breast cancer risk assessment is vital to personalize screening and risk reduction strategies. Women with atypical hyperplasia have a four-fold higher risk of breast cancer. We evaluated the performance of the Tyrer-Cuzick model, which was designed to predict 10-year risk of breast cancer development, in a well-defined cohort of women with atypia.
The Mayo Benign Breast Disease cohort includes 9,376 women who had a benign breast biopsy between 1967 and 1991. Among those, 331 women with atypia were identified by our study pathologists. Risk factor data for the Tyrer-Cuzick model were collated for each woman and used to predict individual risk of developing invasive breast cancer within 10 years.
Over a median follow-up of 14.6 years, 64 (19%) of the 331 women developed invasive breast cancer. In the first 10 years after biopsy, 31 women developed invasive breast cancer whereas the Tyrer-Cuzick model predicted 58.9. The observed-to-predicted ratio was 0.53 (95% CI, 0.37 to 0.75). The concordance statistic was 0.540, revealing that the Tyrer-Cuzick model did not accurately distinguish, on an individual level, between women who developed invasive breast cancer and those who did not.
The Tyrer-Cuzick model significantly overestimated risk of breast cancer for women with atypia, and individual risk estimates showed poor concordance between predicted risk and invasive breast cancer development. Thus, we cannot recommend the use of the Tyrer-Cuzick model to predict 10-year breast cancer risk in women with atypical hyperplasia.
准确的乳腺癌风险评估对于制定个性化的筛查和降低风险策略至关重要。患有非典型性增生的女性乳腺癌风险增加四倍。我们评估了 Tyrer-Cuzick 模型的性能,该模型旨在预测 10 年内乳腺癌发展的风险,该模型应用于一组明确诊断为非典型性增生的女性。
梅奥良性乳腺疾病队列包括 9376 名在 1967 年至 1991 年间接受良性乳腺活检的女性。其中,我们的研究病理学家确定了 331 名患有非典型性增生的女性。为每位女性收集了 Tyrer-Cuzick 模型的风险因素数据,并用于预测在 10 年内发生浸润性乳腺癌的个体风险。
在中位随访 14.6 年期间,331 名女性中有 64 名(19%)发展为浸润性乳腺癌。在活检后的前 10 年内,有 31 名女性发展为浸润性乳腺癌,而 Tyrer-Cuzick 模型预测为 58.9。观察到的与预测到的比值为 0.53(95%CI,0.37 至 0.75)。一致性统计量为 0.540,表明 Tyrer-Cuzick 模型不能在个体水平上准确区分发生浸润性乳腺癌和未发生浸润性乳腺癌的女性。
Tyrer-Cuzick 模型显著高估了非典型性增生女性的乳腺癌风险,个体风险估计值在预测风险与浸润性乳腺癌发展之间的一致性较差。因此,我们不能推荐使用 Tyrer-Cuzick 模型来预测患有非典型性增生的女性 10 年内的乳腺癌风险。