Nomogram predicts survival and surgical benefits for patients with breast cancer with initial bone metastasis: A population-based study

被引:2
|
作者
Zhou, Xingtong [1 ]
Liu, Mohan [1 ]
Zheng, Zhibo [2 ]
Cao, Xi [1 ]
Lin, Yan [1 ]
Xu, Ying [1 ]
Li, Yan [1 ,4 ]
Wang, Hayson Chenyu [3 ]
Sun, Qiang [1 ]
机构
[1] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Breast Surg, Beijing, Peoples R China
[2] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Int Med Serv, Beijing, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 9, Sch Med, Dept Plast & Reconstruct Surg, Shanghai, Peoples R China
[4] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Breast Surg, 44 Damucang Hutong, Beijing 100730, Peoples R China
关键词
breast cancer; initial bone metastasis; nomogram; prognosis; risk assessment; PRIMARY TUMOR; WOMEN; METAANALYSIS; RESECTION; DISEASE;
D O I
10.1002/cncr.35166
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Primary stage IV breast cancer is associated with a poor prognosis. At present, the value of local surgical treatment for patients with stage IV breast cancer remains uncertain; therefore, treatment principles remain controversial. Because of the high heterogeneity of these patients, it is often difficult to evaluate their prognoses. As a result, this study aimed to establish a prognostic nomogram to evaluate the prognosis of patients with breast cancer experiencing primary bone metastasis.Methods: The clinical characteristics and follow-up data of patients with primary breast cancer and bone metastasis from 2010 to 2018 were collected from the Surveillance, Epidemiology, and End Results database and from 2013 to 2021 at the Peking Union Medical College Hospital. Patients were divided into training and validation groups. Multivariate Cox regression analysis was used to identify the independent prognostic variables for predicting cancer-specific survival (CSS). On the basis of these independent risk factors, a nomogram was developed and used calibration curves to evaluate its accuracy. Patients were divided into three risk groups according to their scores and surgery-related survival curves plotted using the log-rank test.Results: Overall, 6372 patients were included, with 6319 from the Surveillance, Epidemiology, and End Results database and 53 from the Peking Union Medical College Hospital Breast Surgery Department. Multivariate analysis showed that age, race, marital status, grade, tumor stage, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and burden of other metastatic lesions were all associated with CSS. Based on these results, a nomogram that predicted the 1-, 3-, and 5-year CSS rates in patients with primary breast cancer and bone metastasis (concordance index > 0.69) was developed. After dividing patients into low-risk, high-risk, or super-high-risk groups based on nomogram scoring criteria, survival analysis revealed that patients in the low- and high-risk groups had significant survival benefits from primary focal surgery.Conclusion: Independent risk factors for primary breast cancer in patients with bone metastasis were analyzed and a nomogram established to predict CSS. The prognostic tool derived in this study can assist clinicians in predicting the survival and surgical benefits of these patients through scoring, thereby providing further guidance for treatment strategies.
引用
收藏
页码:1464 / 1475
页数:12
相关论文
共 50 条
  • [21] Improved survival in patients with isolated liver metastasis at initial diagnosis with surgery at primary and metastatic sites: A population-based study in patients with breast cancer
    Chai, Yue
    Chen, Yujie
    Liu, Jiaxuan
    He, Maiyue
    Jiang, Mingxia
    Xu, Binghe
    Li, Qiao
    THORACIC CANCER, 2023, 14 (27) : 2793 - 2803
  • [22] Breast cancer subtypes and the risk of distant metastasis at initial diagnosis: a population-based study
    Xiao, Weikai
    Zheng, Shaoquan
    Yang, Anli
    Zhang, Xingcai
    Zou, Yutian
    Tang, Hailin
    Xie, Xiaoming
    CANCER MANAGEMENT AND RESEARCH, 2018, 10 : 5329 - 5338
  • [23] Nomogram for predicting preoperative regional lymph nodes metastasis in patients with metaplastic breast cancer: a SEER population-based study
    Zhang, Mi
    Wang, Biyuan
    Liu, Na
    Wang, Hui
    Zhang, Juan
    Wu, Lei
    Zhao, Andi
    Wang, Le
    Zhao, Xiaoai
    Yang, Jin
    BMC CANCER, 2021, 21 (01)
  • [24] Nomogram for predicting preoperative regional lymph nodes metastasis in patients with metaplastic breast cancer: a SEER population-based study
    Mi Zhang
    Biyuan Wang
    Na Liu
    Hui Wang
    Juan Zhang
    Lei Wu
    Andi Zhao
    Le Wang
    Xiaoai Zhao
    Jin Yang
    BMC Cancer, 21
  • [25] Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
    Zhang, Haige
    Ma, Guifen
    Du, Shisuo
    Sun, Jing
    Zhang, Qian
    Yuan, Baoying
    Luo, Xiaoyong
    PEERJ, 2019, 7
  • [26] Development and validation of a prognostic nomogram for bone metastasis from lung cancer: A large population-based study
    Li, Weihua
    Guo, Zixiang
    Zou, Zehui
    Alswadeh, Momen
    Wang, Heng
    Liu, Xuqiang
    Li, Xiaofeng
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [27] Nomogram-Predicted Survival of Breast Cancer Brain Metastasis: a SEER-Based Population Study
    Xiong, Yi
    Cao, Hang
    Zhang, Yueqi
    Pan, Zou
    Dong, Siyuan
    Wang, Gousiyi
    Wang, Feiyifan
    Li, Xuejun
    WORLD NEUROSURGERY, 2019, 128 : E823 - E834
  • [28] Population-based Analysis of Treatment and Survival in Women Presenting With Brain Metastasis at Initial Breast Cancer Diagnosis
    Wiksyk, Bradley
    Nguyen, David H.
    Alexander, Cheryl
    Truong, Pauline T.
    AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS, 2016, 39 (03): : 255 - 260
  • [29] Clinical outcomes and a nomogram for de novo metastatic breast cancer with lung metastasis: a population-based study
    Weiming Liu
    Yiqun Han
    Scientific Reports, 12
  • [30] Clinical outcomes and a nomogram for de novo metastatic breast cancer with lung metastasis: a population-based study
    Liu, Weiming
    Han, Yiqun
    SCIENTIFIC REPORTS, 2022, 12 (01)