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Prognostic Model and Nomogram for Estimating Survival of Small Breast Cancer: A SEER-based Analysis.

Authors
  • Han, Yiqun1
  • Wang, Jiayu2
  • Sun, Yanxia1
  • Yu, Pei3
  • Yuan, Peng1
  • Ma, Fei1
  • Fan, Ying1
  • Luo, Yang1
  • Zhang, Pin1
  • Li, Qing1
  • Cai, Ruigang1
  • Chen, Shanshan1
  • Li, Qiao1
  • Xu, Binghe4
  • 1 Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. , (China)
  • 2 Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: [email protected] , (China)
  • 3 Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. , (Australia)
  • 4 Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: [email protected] , (China)
Type
Published Article
Journal
Clinical breast cancer
Publication Date
Oct 01, 2021
Volume
21
Issue
5
Identifiers
DOI: 10.1016/j.clbc.2020.11.006
PMID: 33277191
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Different clinicopathologic characteristics could contribute to inconsistent prognoses of small breast neoplasms (T1a/T1b). This study was done to conduct a retrospective analysis and establish a clinical prediction model to predict individual survival outcomes of patients with small carcinomas of the breast. Based on the Surveillance, Epidemiology, and End Results (SEER) database, eligible patients with small breast carcinomas were analyzed. Univariate analysis and multivariate analysis were performed to clarify the indicators of overall survival. Pooling risk factors enabled nomograms to be constructed and further predicted 3-year, 5-year, and 10-year survival of patients with small breast cancer. The model was internally validated for discrimination and calibration. A total of 17,543 patients with small breast neoplasms diagnosed between 2013 and 2016 were enrolled. Histologic grade, lymph node stage, estrogen receptor or progesterone receptor status, and molecular subtypes of breast cancer were regarded as the risk factors of prognosis in a Cox proportional hazards model (P < .05). A nomogram was constructed to give predictive accuracy toward individual survival rate of patients with small breast neoplasms. This prognostic model provided a robust and effective method to predict the prognosis of patients with small breast cancer. Copyright © 2020 Elsevier Inc. All rights reserved.

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