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Zhang S, Yang H, Xu Y, Wang S. Do we need reshape rTNM staging system for ipsilateral breast tumor recurrence of breast cancer? A population-based, propensity score matched cohort study. Breast Cancer Res Treat 2024; 206:637-651. [PMID: 38727889 DOI: 10.1007/s10549-024-07340-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/10/2024] [Indexed: 06/27/2024]
Abstract
BACKGROUND The aim of the study was to explore the role of recurrent TNM (rTNM) staging in predicting prognosis for ipsilateral breast tumor recurrence (IBTR) and determine the optimal treatment strategy for IBTR. METHOD IBTR cases were identified from the Surveillance, Epidemiology, and End Results (SEER) database spanning the years 2000-2018. Cox proportional hazards analysis was performed to examine factors associated with overall survival (OS) and breast cancer-specific survival (BCSS). Propensity score matching (PSM) was employed to match IBTR with primary early breast cancer (EBC) based on clinicopathological characteristics. Investigations into the impact of different therapies were also included. RESULTS Of the 4375 IBTR cases included in the study, the 5-year OS was 87.1%, 71.6% and 58.7% in rTNM stages I, II and III, respectively. After PSM, while IBTR patients had worse survival to primary EBC patients, prognosis of IBTR for different rTNM stage always closely aligned with the corresponding stage of primary EBC. Repeat breast-conserving surgery (BCS) with radiation therapy was equivalent to mastectomy with respect to OS and BCSS. Chemotherapy was favorable for OS and BCSS in estrogen receptor (ER)-negative IBTR or IBTR occurring within a 60-month interval. CONCLUSIONS rTNM staging system has an outstanding prognostic value for survival outcome of patients with IBTR, and IBTR and primary EBC may have potentially analogous features in the context of TNM staging. BCS plus radiation therapy may be an alternative. IBTR cases who have experienced recurrence with short intervals and with ER-negative tumors might benefit from chemotherapy.
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Affiliation(s)
- Shuwei Zhang
- Breast Center, Peking University People's Hospital, Xizhimen South Street No. 11, Xicheng District, Beijing, 100044, China
| | - Houpu Yang
- Breast Center, Peking University People's Hospital, Xizhimen South Street No. 11, Xicheng District, Beijing, 100044, China
| | - Yaqian Xu
- Breast Center, Peking University People's Hospital, Xizhimen South Street No. 11, Xicheng District, Beijing, 100044, China
| | - Shu Wang
- Breast Center, Peking University People's Hospital, Xizhimen South Street No. 11, Xicheng District, Beijing, 100044, China.
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Wu HL, Lu YJ, Li JW, Wu SY, Chen XS, Liu GY. Prior Local or Systemic Treatment: A Predictive Model Could Guide Clinical Decision-Making for Locoregional Recurrent Breast Cancer. Front Oncol 2022; 11:791995. [PMID: 35198434 PMCID: PMC8858965 DOI: 10.3389/fonc.2021.791995] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/29/2021] [Indexed: 12/24/2022] Open
Abstract
Introduction Locoregional recurrent breast cancer indicates poor prognosis. No solid prediction model is available to predict prognosis and guide clinical management. Prior local treatment or systemic treatment remains controversial. Methods Locoregional recurrent breast cancer patients operated in Fudan University Shanghai Cancer Center were enrolled as a training cohort. An external validation cohort included breast cancer patients after locoregional recurrence from Ruijin Hospital, Shanghai Jiaotong University. A nomogram predicting overall survival after locoregional recurrence was established using multivariable Cox regression analysis while internal and external validation were performed to evaluate its calibration and discrimination. Results Overall, 346 and 96 breast cancer patients were included in the training cohort and the validation cohort separately. A nomogram was developed, including age, neoadjuvant chemotherapy, breast surgery, pathology type, tumor size, lymph node status, hormonal receptor and Her-2 status, disease-free interval, and sites of locoregional recurrence. It had modest calibration and discrimination in the training cohort, internal validation and external validation (concordance index: 0.751, 0.734 and 0.722, respectively). The nomogram classified 266 and 80 patients into low and high-risk subgroups with distinctive prognosis. Local treatment after locoregional recurrence was associated with improved overall survival in low-risk group (P = 0.011), while systemic therapies correlated with better outcomes only in high-risk group (P < 0.001). Conclusion A nomogram based on clinicopathological factors can predict prognosis and identify low and high-risk patients. Local treatment is a prior choice for low-risk patients whereas systemic treatment needs to be considered for high-risk patients, warranting further validation and exploration.
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Affiliation(s)
- Huai-liang Wu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-jie Lu
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-wei Li
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Si-yu Wu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-song Chen
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Guang-yu Liu, ; Xiao-song Chen,
| | - Guang-yu Liu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Guang-yu Liu, ; Xiao-song Chen,
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