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A nomogram based on CENPP expression for survival prediction in breast cancer
Author(s) -
Heyan Chen,
Shengyu Pu,
Shibo Yu,
Xiaoqin Liao,
Jianjun He,
Huimin Zhang
Publication year - 2021
Publication title -
gland surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.643
H-Index - 22
eISSN - 2227-8575
pISSN - 2227-684X
DOI - 10.21037/gs-21-30
Subject(s) - nomogram , medicine , univariate , proportional hazards model , oncology , multivariate statistics , receiver operating characteristic , breast cancer , stage (stratigraphy) , multivariate analysis , survival analysis , cancer , biology , statistics , paleontology , mathematics
In recent years, it has been found that the expression of 17 centromere proteins (CENPs) was closely related to malignant tumors, however, the role of CENPs in breast cancer (BC) has not been fully investigated. This study intends to investigate the prognostic value of CENPs in BC and establish nomogram based on expression of CENPs to predict BC patients' prognosis.

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