Cotter Maura Bríd, Dakin Alex, Maguire Aoife, Walshe Janice M, Kennedy M John, Dunne Barbara, Riain Ciarán Ó, Quinn Cecily M
Department of Histopathology, St. Vincent's University Hospital, and University College, Dublin 4, Ireland.
Department of Histopathology, St. James's Hospital, Dublin 8, Ireland.
Virchows Arch. 2017 Sep;471(3):321-328. doi: 10.1007/s00428-017-2184-1. Epub 2017 Jul 14.
Oncotype DX® is a gene expression assay that quantifies the risk of distant recurrence in patients with hormone receptor positive early breast cancer, publicly funded in Ireland since 2011. The aim of this study was to correlate Oncotype DX® risk groupings with traditional histopathological parameters and the results of other risk assessment tools including Recurrence Score-Pathology-Clinical (RSPC), Adjuvant Risk Index (Adj RI), Nottingham Prognostic Index (NPI) and the Adjuvant! Online 10-year score (AO). Patients were retrospectively identified from the histopathology databases of two Irish hospitals and patient and tumour characteristics collated. Associations between categorical variables were evaluated with Pearson's chi-square test. Correlations were calculated using Spearman's correlation coefficient and concordance using Lin's concordance correlation coefficient. Statistical analysis was performed using SPSS software, version 22.0.In our 300 patient cohort, Oncotype DX® classified 59.7% (n = 179) as low, 30% (n = 90) as intermediate, and 10.3% (n = 31) as high risk. Overall concordance between the RS and RSPC, Adj RI, NPI, and AO was 67.3% (n = 202), 56.3% (n = 169), 59% (n = 177), and 36.3% (n = 109), respectively. All risk assessment tools classified the majority of patients as low risk apart from the AO 10-year score, with RSPC classifying the highest number of patients as low risk. This study demonstrates that there is good correlation between the RS and scores obtained using alternative risk tools. Concordance with NPI is strong, particularly in the low-risk group. NPI, calculated from traditional clinicopathological characteristics, is a reliable alternative to Oncotype DX® in the identification of low-risk patients who may avoid adjuvant chemotherapy.
Oncotype DX®是一种基因表达检测方法,用于量化激素受体阳性早期乳腺癌患者远处复发的风险,自2011年起在爱尔兰由公共资金资助。本研究的目的是将Oncotype DX®风险分组与传统组织病理学参数以及其他风险评估工具的结果相关联,这些工具包括复发评分-病理-临床(RSPC)、辅助风险指数(Adj RI)、诺丁汉预后指数(NPI)和辅助!在线10年评分(AO)。从两家爱尔兰医院的组织病理学数据库中回顾性识别患者,并整理患者和肿瘤特征。分类变量之间的关联采用Pearson卡方检验进行评估。相关性采用Spearman相关系数计算,一致性采用Lin一致性相关系数计算。使用SPSS软件22.0版进行统计分析。在我们的300例患者队列中,Oncotype DX®将59.7%(n = 179)分类为低风险,30%(n = 90)为中等风险,10.3%(n = 31)为高风险。RS与RSPC、Adj RI、NPI和AO之间的总体一致性分别为67.3%(n = 202)、56.3%(n = 169)、59%(n = 177)和36.3%(n = 109)。除AO 10年评分外,所有风险评估工具都将大多数患者分类为低风险,其中RSPC将最多的患者分类为低风险。本研究表明,RS与使用其他风险工具获得的评分之间存在良好的相关性。与NPI的一致性很强,尤其是在低风险组。NPI由传统临床病理特征计算得出,可以作为Oncotype DX®的可靠替代方法,用于识别可能避免辅助化疗的低风险患者。