The residual cancer burden index as a valid prognostic indicator in breast cancer after neoadjuvant chemotherapy
Xin Xu,
Wei Zhao,
Cuicui Liu,
Yongsheng Gao,
Dawei Chen,
Meng Wu,
Chao Li,
Xinzhao Wang,
Xiang Song,
Jinming Yu,
Zhaoyun Liu,
Zhiyong Yu
Affiliations
Xin Xu
Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy
Wei Zhao
Affiliated Hospital of Jining Medical University
Cuicui Liu
Liaocheng People’s Hospital
Yongsheng Gao
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Dawei Chen
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Meng Wu
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Chao Li
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Xinzhao Wang
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Xiang Song
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Jinming Yu
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Zhaoyun Liu
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Zhiyong Yu
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Abstract Purpose The residual cancer burden index (RCB) was proposed as a response evaluation criterion in breast cancer patients treated with Neoadjuvant Chemotherapy (NAC). This study evaluated the relevance of RCB with replase-free survival (RFS). Methods The clinical data of 254 breast cancer patients who received NAC between 2016 and 2020 were retrospectively collected. The relationship between clinicopathologic factors and RFS was evaluated using Cox proportional hazards regression models. RFS estimates were determined by Kaplan–Meier(K-M) analysis and compared using the log-rank test. Multivariate logistic regression analysis was used to evaluate the risk factors associated with RCB. Receiver operating characteristic (ROC) curves showed the potential of the RCB and MP grading systems as biomarkers for RFS. Results At a median follow-up of 52 months, 59 patients(23.23%) developed relapse. Multivariate Cox regression showed that older age (P = 0.022), high Pathologic T stage after NAC (P = 0.023) and a high RCB score(P = 0.003) were risk factors for relapse. The outcomes of the multivariate logistic analysis indicated that RCB 0 (pathologic complete response [pCR]) was associated with HER2-positive patients (P = 0.002) and triple-negative breast cancer (TNBC) patients (P = 0.013). In addition, the RCB and MP scoring systems served as prognostic markers for patients who received NAC, and their area under curves (AUCs) were 0.691 and 0.342, respectively. Conclusion These data suggest that RCB can be equally applied to predict RFS in Chinese patients with NAC. The application of RCB may help guide the selection of treatment strategies.