TY - JOUR
T1 - Construction and validation of prognostic nomogram for metaplastic breast cancer
AU - Li, Yongfeng
AU - Chen, Daobao
AU - Xuan, Haojun
AU - Dragomir, Mihnea P.
AU - Calin, George A.
AU - Meng, Xuli
AU - Chen, Meng
AU - Jin, Hongchuan
N1 - Funding Information:
Funding: The study was supported by the Zhejiang Provincial Health Department Foundation (Grant No. 2018ky284), the Natural Science Foundation of Zhejiang Province (Grant No. LQ17H160013). The funding body was not involved in the design of the study, collection, analysis, and interpretation of data, nor the writing of the manuscript. The content is solely the responsibility of the authors.
Publisher Copyright:
© The Author(s) (2022).
PY - 2022/2/1
Y1 - 2022/2/1
N2 - In this study, we aimed to develop nomogram models for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with metaplastic breast carcinoma (MBC). Data of patients diagnosed with MBC from 1973 to 2015 were collected from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors for OS and CSS of MBC patients. The obtained prognostic variables were combined to construct nomogram models for predicting OS and CSS in patients with MBC. Model performance was evaluated using concordance index (C-index) and calibration plots. Data from 1125 patients were collected and divided into a training (750) and a validation (375) cohort. The multivariate Cox model identified age, TNM stage, tumor size, and radiotherapy as independent covariates associated with OS and CSS. The nomogram constructed based on these covariates demonstrated excellent accuracy in estimating 3-, and 5-year OS and CSS, with a C-index of 0.769 (95% confidence interval [CI], 0.731-0.808) for OS and 0.761 (95% CI, 0.713-0.809) for CSS in the training cohort. In the validation cohort, the nomogram-predicted C-index was 0.738 (95% CI, 0.676-0.800) for OS and 0.747 (95% CI, 0.667-0.827) for CSS. All calibration curves exhibited good consistency between predicted and actual survival. The nomogram models established in this study may enhance the accuracy of prognosis prediction and therefore may improve individualized assessment of survival risks and enable constructive therapeutic suggestions.
AB - In this study, we aimed to develop nomogram models for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with metaplastic breast carcinoma (MBC). Data of patients diagnosed with MBC from 1973 to 2015 were collected from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors for OS and CSS of MBC patients. The obtained prognostic variables were combined to construct nomogram models for predicting OS and CSS in patients with MBC. Model performance was evaluated using concordance index (C-index) and calibration plots. Data from 1125 patients were collected and divided into a training (750) and a validation (375) cohort. The multivariate Cox model identified age, TNM stage, tumor size, and radiotherapy as independent covariates associated with OS and CSS. The nomogram constructed based on these covariates demonstrated excellent accuracy in estimating 3-, and 5-year OS and CSS, with a C-index of 0.769 (95% confidence interval [CI], 0.731-0.808) for OS and 0.761 (95% CI, 0.713-0.809) for CSS in the training cohort. In the validation cohort, the nomogram-predicted C-index was 0.738 (95% CI, 0.676-0.800) for OS and 0.747 (95% CI, 0.667-0.827) for CSS. All calibration curves exhibited good consistency between predicted and actual survival. The nomogram models established in this study may enhance the accuracy of prognosis prediction and therefore may improve individualized assessment of survival risks and enable constructive therapeutic suggestions.
KW - Cancer-specific survival
KW - Metaplastic breast cancer
KW - Nomogram
KW - Overall survival
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U2 - 10.17305/bjbms.2021.5911
DO - 10.17305/bjbms.2021.5911
M3 - Article
C2 - 34247567
AN - SCOPUS:85125000018
SN - 1512-8601
VL - 22
SP - 131
EP - 139
JO - Bosnian Journal of Basic Medical Sciences
JF - Bosnian Journal of Basic Medical Sciences
IS - 1
ER -