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Development and Validation of Prognostic Survival Nomograms for Patients with Anal Canal Cancer: A SEER-Based Study

Authors :
Tang J
Zhu L
Huang Y
Yang L
Ge D
Hu Z
Wang C
Source :
International Journal of General Medicine, Vol Volume 14, Pp 10065-10081 (2021)
Publication Year :
2021
Publisher :
Dove Medical Press, 2021.

Abstract

Jie Tang,1 Liqun Zhu,1 Yuejiao Huang,2,3 Lixiang Yang,4 Dangen Ge,5 Zhengyu Hu,6 Chun Wang1 1Department of Oncology, Liyang People’s Hospital, Liyang, 213300, People’s Republic of China; 2Medical School, Nantong University, Nantong, 226019, People’s Republic of China; 3Department of Medical Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, 226399, People’s Republic of China; 4Department of Neurosurgery, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, People’s Republic of China; 5Department of Pharmacy, Liyang People’s Hospital, Liyang, 213300, People’s Republic of China; 6Department of General Surgery, Shanghai Tenth People’s Hospital, Affiliated to Tongji University School of Medicine, Shanghai, 200072, People’s Republic of ChinaCorrespondence: Chun WangDepartment of Oncology, Liyang People’s Hospital, 70 Jianshe Road, Liyang, Jiangsu, 213300, People’s Republic of ChinaEmail zlkwangchun@163.comObjective: Anal canal cancer is a rare malignancy with increasing incidence in recent times. This study aimed to develop two nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with anal canal cancer.Methods: Information of patients with anal canal cancer from 2004 to 2015 was extracted from the surveillance, epidemiology, and end results (SEER) database. Cox analysis was used to select the risk factors for prognosis, and nomograms were constructed using the R software. The C-index, area under the curve (AUC) of time-dependent receiver operating characteristic (ROC) curves, calibration plot and decision curve analysis (DCA) were used to assess the clinical utility of the nomograms.Results: A total of 2458 patients with malignant tumours of the anal canal were screened out. Sex, age, marital status, histological type, grade, tumour size, AJCC stage, SEER stage and chemotherapy were independent prognostic factors for OS, whereas sex, age, race, histological type, grade, tumour size, AJCC stage, SEER stage and radiotherapy were independent prognostic factors for CSS. In the training cohort, the C-index value for OS nomogram was 0.73 (95% CI, 0.69– 0.77), and the AUC values that predicted the 1-, 3- and 5-year survival rates were 0.764, 0.758 and 0.760, respectively, whereas the C-index value for CSS nomogram model was 0.74 (95% CI, 0.69– 0.79), and the AUC values were 0.763, 0.769 and 0.763, respectively. The calibration plot and DCA curves demonstrated good prediction performance of the model in both the training and validation cohorts.Conclusion: The established nomogram is a visualisation tool that can effectively predict the OS and CSS of patients with anal canal cancer.Keywords: anal canal cancer, cancer specific survival, nomogram, overall survival, prognosis

Details

Language :
English
ISSN :
11787074
Volume :
ume 14
Database :
Directory of Open Access Journals
Journal :
International Journal of General Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.82ca8f60e8de443e8256c3c17036daa6
Document Type :
article