A prognostic model for triple-negative breast cancer patients with liver metastasis: A population-based study
Liguo Zhang,
Zhen Qiao,
Yinsheng Yao,
Zhiqiang Li,
Lingzhi Hu,
Yinyan Mao,
Xiuling Liu,
Weirong Chen,
Qing'an Zeng,
Hong Zhao
Affiliations
Liguo Zhang
The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, PR China; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, PR China
Zhen Qiao
Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China
Yinsheng Yao
Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China
Zhiqiang Li
Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China
Lingzhi Hu
The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
Yinyan Mao
The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
Xiuling Liu
The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
Weirong Chen
Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China; Corresponding author.
Qing'an Zeng
Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, PR China; Corresponding author.
Hong Zhao
The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, PR China; Corresponding author. The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China.
However, it is still difficult for clinicians to establish prognostic stratifications and therapeutic strategies because of the lack of tools for predicting the survival of triple-negative breast cancer patients with liver metastases (TNBC-LM). Based on clinical data from large populations, a sensitive and discriminative nomogram was developed and validated to predict the prognosis of TNBC patients with LM at initial diagnosis or at the later course. Introduction/background: Liver metastasis (LM) in TNBC patients is associated with significant morbidity and mortality. The objective of this study was to construct a clinical model to predict the survival of TNBC-LM patients. Materials and methods: Clinicopathologic data were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and the Fifth Affiliated Hospital of Sun Yat-Sen University (FAFSYU). Based on patients with newly diagnosed TNBC with LM (nTNBC-LM) from the SEER database, a predictive nomogram was established and validated. Its predictive effect on TNBC patients with LM at later disease course by enrolling TNBC patients from FAFSYU who developed LM later. The prognostic effect of different treatment for nTNBC-LM was further assessed. Results: A prognostic model was developed and validated to predict the prognosis of TNBC-LM patients. For LM patients diagnosed at the initial or later treatment stage, the C-index (0.712, 0.803 and 0.699 in the training, validation and extended groups, respectively) and calibration plots showed the acceptable prognostic accuracy and clinical applicability of the nomogram. Surgical resection on the primary tumour and chemotherapy were found to be associated with significantly better overall survival (OS). Conclusion: A sensitive and discriminative model was developed to predict OS in TNBC-LM patients both at and after initial diagnosis.
