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A prognostic model for triple-negative breast cancer patients with liver metastasis: A population-based study.
Zhang, Liguo; Qiao, Zhen; Yao, Yinsheng; Li, Zhiqiang; Hu, Lingzhi; Mao, Yinyan; Liu, Xiuling; Chen, Weirong; Zeng, Qing'an; Zhao, Hong.
Afiliación
  • Zhang L; The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China.
  • Qiao Z; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, PR China.
  • Yao Y; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, PR China.
  • Li Z; Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China.
  • Hu L; Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China.
  • Mao Y; Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China.
  • Liu X; The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China.
  • Chen W; The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China.
  • Zeng Q; The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China.
  • Zhao H; Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China.
Heliyon ; 10(7): e27837, 2024 Apr 15.
Article en En | MEDLINE | ID: mdl-38560265
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_breast_cancer / 6_liver_cancer Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_breast_cancer / 6_liver_cancer Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article
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