Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenber, 10/2446, B-3001 Leuven, Belgium.
J Clin Oncol. 2010 Sep 20;28(27):4129-34. doi: 10.1200/JCO.2009.26.4200. Epub 2010 Aug 16.
To investigate whether the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) can improve the Nottingham Prognostic Index (NPI) in the classification of patients with primary operable breast cancer for disease-free survival (DFS).
The analysis is based on 1,927 patients with breast cancer treated between 2000 and 2005 at the University Hospitals, Leuven. We compared performances of NPI with and without ER, PR and/or HER2. Validation was done on two external data sets containing 862 and 2,805 patients from Oslo (Norway) and Auckland (New Zealand), respectively.
In the Leuven cohort, median follow-up was 66 months, and 13.7% of patients experienced a breast cancer-related event. Positive staining for ER, PR, and HER2 was detected, respectively, in 86.9%, 75.5%, and 11.9% of patients. Based on multivariate Cox regression modeling, the improved NPI (iNPI) was derived as NPI - PR positivity + HER2 positivity. Validation results showed a risk group reclassification of 20% to 30% of patients when using iNPI with its optimal risk boundaries versus NPI, in a majority of patients to more appropriate risk groups. An additional 10% of patients were classified into the extreme risk groups, where clinical actions are less ambiguous. Survival curves of reclassified patients resembled more closely those for patients in the same iNPI group than those for patients in the same NPI group.
The addition of PR and HER2 to NPI increases its 5-year prognostic accuracy. The iNPI can be considered as a clinically useful tool for stratification of patients with breast cancer receiving standard of care.
研究雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体 2(HER2)是否能改善诺丁汉预后指数(NPI)在原发性可手术乳腺癌患者的无病生存(DFS)分类中的作用。
本分析基于 2000 年至 2005 年在鲁汶大学附属医院治疗的 1927 例乳腺癌患者。我们比较了 NPI 有无 ER、PR 和/或 HER2 的表现。验证是在两个外部数据集上进行的,分别包含来自挪威奥斯陆和新西兰奥克兰的 862 例和 2805 例患者。
在鲁汶队列中,中位随访时间为 66 个月,13.7%的患者发生了乳腺癌相关事件。分别有 86.9%、75.5%和 11.9%的患者检测到 ER、PR 和 HER2 的阳性染色。基于多变量 Cox 回归建模,得出了改良 NPI(iNPI),即 NPI - PR 阳性+ HER2 阳性。验证结果显示,使用 iNPI 及其最佳风险边界与 NPI 相比,约 20%至 30%的患者的风险组重新分类更为恰当。另外 10%的患者被归类为极端风险组,在这些组中,临床决策的不确定性较小。重新分类患者的生存曲线与同一 iNPI 组的患者更为相似,而与同一 NPI 组的患者相似性较差。
将 PR 和 HER2 添加到 NPI 中可提高其 5 年预后准确性。iNPI 可作为一种用于分层接受标准治疗的乳腺癌患者的临床有用工具。