Prognostic factors and survival prediction in hepatocellular carcinoma: development and validation of a novel nomogram based on the SEER database

被引:2
|
作者
Huang, Shanshan [1 ,2 ]
Zhu, Zheng [3 ]
Ruan, Yejiao [2 ,4 ]
Zhang, Fayuan [3 ]
Xu, Yueting [3 ]
Jin, Lingxiang [1 ,2 ]
Lopez-Lopez, Victor [5 ,6 ]
Merle, Philippe [7 ]
Lu, Guangrong [2 ,4 ,9 ,10 ]
Li, Liyi [2 ,8 ,9 ,10 ]
机构
[1] Wenzhou Med Univ, Affiliated Hosp 2, Dept Infect Dis, Wenzhou, Peoples R China
[2] Wenzhou Med Univ, Yuying Childrens Hosp, Wenzhou, Peoples R China
[3] Wenzhou Med Univ, Clin Med Coll 2, Wenzhou, Peoples R China
[4] Wenzhou Med Univ, Affiliated Hosp 2, Dept Gastroenterol, Wenzhou, Peoples R China
[5] Univ Hosp Virgen Arrixaca, Dept Gen Visceral & Transplantat Surg, Clin, Murcia, Spain
[6] Univ Hosp Virgen Arrixaca, IMIB Arrixaca, Murcia, Spain
[7] Univ Croix Rousse Hosp, Hepatol Unit, Hosp Civils Lyon, Lyon, France
[8] Wenzhou Med Univ, Affiliated Hosp 2, Dept Gastrointestinal Surg, Wenzhou, Peoples R China
[9] Wenzhou Med Univ, Affiliated Hosp 2, Dept Gastroenterol, 109 Xueyuan West Rd, Wenzhou 325027, Peoples R China
[10] Wenzhou Med Univ, Yuying Childrens Hosp, 109 Xueyuan West Rd, Wenzhou 325027, Peoples R China
关键词
Hepatocellular carcinoma (HCC); prognostic factors; cancer-specific survival (CSS); nomogram; RESECTION; CANCER; TRANSPLANTATION; METASTASES; MANAGEMENT; SORAFENIB; BUILD; AGE;
D O I
10.21037/jgo-23-427
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Current staging systems for hepatocellular carcinoma (HCC) still have limitations in clinical practice. Our study aimed to explore the prognostic factors and develop a new nomogram to predict the cancer-specific survival (CSS) for patients with HCC. Methods: A total of 6,166 HCC patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly grouped into the training cohort (70%) and validation cohort (30%). Multivariate Cox analysis was used to identify prognostics factors for CSS of patients, then we incorporated these variables and presented a new nomogram to predict 2-and 5-year CSS. The performance of the nomogram was assessed with respect to its calibration, concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), and decision curve analysis (DCA).Results: Multivariate Cox analysis revealed that American Joint Committee on Cancer (AJCC) stage, race, grade, surgery, chemotherapy, radiation, tumor size, bone metastasis (BM), and alpha-fetoprotein (AFP) were independently associated with CSS. The prediction nomogram which contained these predictors showed good performance, with a C-index of 0.802 [95% confidence interval (CI), 0.792-0.812] in the training cohort and 0.801 (95% CI, 0.787-0.815) in the validation cohort. The calibration curves demonstrated good agreement between the actual observation and the nomogram prediction. Furthermore, the nomogram showed improved discriminative capacity (AUC, 0.873 and 0.875 for 2-and 5-year CSS in validation set) compared to the 7th tumor-node-metastasis (TNM) staging system (AUC, 0.735 and 0.717). The DCA also indicated good application of the nomogram.Conclusions: This study presents a novel nomogram that incorporates the important prognostic factors of HCC, which can be conveniently used to accurately predict the 2-and 5-year CSS of patients with HCC, thus assisting individualized clinical decision making.
引用
收藏
页码:1817 / 1829
页数:13
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