Construction of a Prognostic Nomogram Model for Patients with Mucinous Breast Cancer

Objective. The objective of the study is to develop a nomogram for estimating three- and five-year survival rates in mucinous breast cancer patients. Methods. Between 2010 and 2016, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) were searched as a data source...

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Bibliographic Details
Published in:Journal of healthcare engineering 2022, Vol.2022, p.1230812-8
Main Authors: Zhu, Xulong, Li, Ying, Liu, Fende, Zhang, Feifei, Li, Jianhui, Cheng, Chong, Shen, Yanwei, Jiang, Nan, Du, Jia, Zhou, Yajing, Huo, Binliang
Format: Article
Language:English
Subjects:
Breast Neoplasms - diagnosis
Female
Humans
Nomograms
Prognosis
SEER Program
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Summary:Objective. The objective of the study is to develop a nomogram for estimating three- and five-year survival rates in mucinous breast cancer patients. Methods. Between 2010 and 2016, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) were searched as a data source for patients associated with mucinous breast cancer (MBC). A total of 3964 patients were recruited after screening. The multivariate Cox model and the univariate Kaplan-Meier (KM) approach were employed to evaluate the independent prognostic markers, followed by developing a nomogram for estimating three- and five-year survival rates in MBC patients. Consequently, the consistency index (C-index) was employed to assess the predictive accuracy of the generated nomogram. Results. Age, race, T stage, M stage, surgery, and radiotherapy were all independent predictive biomarkers for the MBC patients (P
ISSN:2040-2295
2040-2309
DOI:10.1155/2022/1230812