Clinicopathological Factors That Predict Different Responses of Breast and Axillary Tumors to Neoadjuvant Chemotherapy and Prognosis Among Patients With Node-Positive Breast Cancer: Real World Data

预测乳腺和腋窝肿瘤对新辅助化疗的不同反应以及淋巴结阳性乳腺癌患者预后的临床病理因素:真实世界数据

阅读:1

Abstract

BACKGROUND: Pathological complete response (pCR) has been proven to be related to prognosis. pCR can be further classified as pCR of the breast (bpCR), pCR of axillary lymph nodes (apCR) or pCR of both tumors. The aim of this study was to elucidate the outcomes and clinicopathological characteristics associated with different patterns of pCR. METHODS: Patients with node-positive disease who received neoadjuvant chemotherapy between August 2009 and July 2016 and who achieved pCR in axillary lymph nodes, breast or both were included. Multivariate logistic regression was used to identify factors related to different patterns of pCR. RESULTS: Among the 271 patients who were included in the study, 42.1% achieved total pCR, 46.1% achieved ApCR, and 11.8% achieved BpCR. Disease-free survival (DFS) was significantly better in the total pCR group than in the limited pCR groups throughout the entire cohort (p = 0.042). Univariate and multivariate analyses indicated that patients with HR-negative disease and a high Ki-67 proliferation index were more likely to achieve total pCR. Patients with earlier T stage disease were more likely to achieve pCR only in the breast. Among patients who achieved limited pCR, there was no significant difference in terms of whether these patients received intensified adjuvant chemotherapy. CONCLUSIONS: Total pCR is still the best marker for predicting survival benefit in patients receiving neoadjuvant chemotherapy, and total pCR is more likely to be achieved in patients with HR-negative disease and a high Ki-67 proliferation index. T stage and N stage may predict apCR and bpCR, respectively.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。