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Comparison of two nomograms to predict pathologic complete responses to neoadjuvant chemotherapy for breast cancer: evidence that HER2-positive tumors need specific predictors

机译:比较两个诺模图以预测乳腺癌对新辅助化疗的病理完全反应:证据表明HER2阳性肿瘤需要特定的预测因子

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The aim of this study is to compare two published nomograms, the “Institut Gustave Roussy/M.D. Anderson Cancer Center” (IGR/MDACC) and the Colleoni nomograms, in predicting pathologic complete responses (pCR) to preoperative chemotherapy in an independent cohort and to assess the impact of HER2 status. Data from 200 patients with breast carcinoma treated with preoperative chemotherapy were collected. We calculated pCR rate predictions with the two nomograms and compared the predictions with the outcomes. Sixty percent of the patients with HER2-positive tumors received trastuzumab concomitantly with taxanes. Model performances were quantified with respect to discrimination and calibration. In the whole population, the area under the ROC curve (AUC) for the IGR/MDACC nomogram and the Colleoni nomogram were 0.74 and 0.75, respectively. Both of them underestimated the pCR rate (P = 0.026 and 0.0005). When patients treated with trastuzumab were excluded, the AUC were excellent: 0.78 for both nomograms with no significant difference between the predicted and the observed pCR (P = 0.14 and 0.15). When the specific population treated with trastuzumab preoperatively was analyzed, the AUC for the IGR/MDACC nomogram and the Colleoni nomogram were poor, 0.52 and 0.53, respectively. The IGR/MDACC and the Colleoni nomograms were accurate in predicting the probability of pCR after preoperative chemotherapy in the HER2-negative population but did not correctly predict pCR in the HER2-positive patients who received trastuzumab. This suggests that responses to preoperative chemotherapy, including trastuzumab, are biologically driven and that a specific nomogram or predictor for HER2-positive patients has to be developed.
机译:这项研究的目的是比较两个已发表的列线图,即Institut Gustave Roussy / M.D.。 Anderson癌症中心(IGR / MDACC)和Colleoni nomograms,用于预测独立队列中对术前化疗的病理完全反应(pCR),并评估HER2状态的影响。收集了200例接受术前化疗的乳腺癌患者的数据。我们用两个列线图计算了pCR率预测值,并将预测值与结果进行了比较。 HER2阳性肿瘤患者中有60%与紫杉烷类药物同时接受曲妥珠单抗治疗。关于识别和校准,对模型性能进行了量化。在整个人群中,IGR / MDACC列线图和Colleoni列线图的ROC曲线下面积(AUC)分别为0.74和0.75。他们俩都低估了pCR率(P = 0.026和0.0005)。当排除接受曲妥珠单抗治疗的患者时,AUC极好:两个列线图的AUC均为0.78,预测的pCR和观察到的pCR之间无显着差异(P = 0.14和0.15)。分析术前接受曲妥珠单抗治疗的特定人群时,IGR / MDACC列线图和Collonei列线图的AUC分别为0.52和0.53,较差。 IGR / MDACC和Colleoni nomograms可以准确预测HER2阴性人群术前化疗后的pCR可能性,但不能正确预测接受曲妥珠单抗的HER2阳性患者的pCR。这表明对包括曲妥珠单抗在内的术前化学疗法的反应是生物学驱动的,因此必须开发出针对HER2阳性患者的特定列线图或预测指标。

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