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Overall Survival in Patients with Mucinous Carcinoma of Breast: A Population-Based Study
- Publication Year :
- 2021
-
Abstract
- Tingting Hu,1 Juanjuan Huang,2 Kun Fang3 1Department of Chemoradiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, Peopleâs Republic of China; 2Wenzhou Medical University, Wenzhou, Zhejiang, 325000, Peopleâs Republic of China; 3Department of Surgery, Yinchuan Women and Childrenâs Hospital, Yinchuan, Ningxia, 750001, Peopleâs Republic of ChinaCorrespondence: Kun FangDepartment of Surgery, Yinchuan Women and Childrenâs Hospital, No. 56, Wenhua Street, Yinchuan, Ningxia, 750001, Peopleâs Republic of ChinaEmail k99ftl@163.comPurpose: Mucinous carcinoma of the breast (MCB) is a rare malignant tumour. Therefore, it is urgent to establish a survival prediction model for MCB patients.Methods: Clinicopathological and follow-up data of MCB patients diagnosed between 2010 and 2015 were retrieved from the Surveillance, Epidemiology, and End Result (SEER) database. The significant factors were screened out and generated KaplanâMeier (K-M) curves for each prognostic factor. Additionally, these factors were then utilized to build a nomogram for predicting 3-, 4-, and 5-year overall survival (OS) of MCB patients. The nomogram was evaluated using calibration curves, receiver operating characteristic (ROC) curves and decision curve analysis (DCA).Results: Moreover, a total of 4326 MCB patients were retrieved. Age, American Joint Committee on Cancer (AJCC) stage, surgery, radiotherapy and bone metastasis were identified as independently prognosis factors for OS. The corresponding areas under the ROC curves (AUCs) of the nomogram at 3, 4 and 5 years in the training and validation set were 0.770, 0.788, 0.805, 0.778, 0.797, and 0.802, respectively. The calibration curves and DCA revealed that the prediction model had an excellent performance. Finally, the risk stratification system confirmed that the powerful role of the nomogram in distinguishing results and risk stratification.Conclusion: Briefly, the nomogram incorpo
Details
- Database :
- OAIster
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1299370408
- Document Type :
- Electronic Resource