by Yinggang Xu, Weiwei Zhang, Jinzhi He, Ye Wang, Rui Chen,
Wenjie Shi, Xinyu Wan, Xiaoqing Shi, Xiaofeng Huang, Jue Wang, Xiaoming Zha
The Breast: September 01, 2022
Purpose
Triple-negative apocrine carcinoma (TNAC) is a sort of
triple-negative breast cancer (TNBC) that is rare and prognosis of these
patients is unclear. The present study constructed an effective nomogram to
assist in predicting TNAC patients overall survival (OS).
Methods
A total of 373 TNAC patients from the surveillance,
epidemiology, and end results (SEER) got extracted from 2010 to 2016 and were
divided into training (n = 261) and external validation
(n = 112) groups (split ratio, 7:3) randomly. A Cox regression model was
utilized to creating a nomogram according to the risk factors affecting
prognosis. The predictive capability of the nomogram was estimated with
receiver operating characteristic (ROC) curve, calibration curve, and decision
curve analysis (DCA).
Results
Multivariate Cox regression analysis revealed age, surgery,
chemotherapy, stage, and first malignant primary as independent predictors of
OS. A prediction model was constructed and virtualized using the nomogram. The
time-dependent area under the curve (AUC) showed satisfactory discrimination of
the nomogram. Good consistency was shown on the calibration curves in OS
between actual observations and the nomogram prediction. What's more, DCA
showed that the nomogram had incredible clinical utility. Through separating
the patients into groups of low and high risk group that connects with the risk
system that shows a huge difference between the low-risk and high risk OS (P < 0.001).
Conclusion
To predict the OS in TNAC patients, the nomogram utilizing
the risk stratification system that is corresponding. These tools may help to
evaluate patient prognosis and guide treatment decisions.
