Development of a nomogram model to predict survival outcomes in patients with primary hepatic neuroendocrine tumors based on SEER database

Zhang，Ziteng1; Zhao，Xin1; Li，Zhiyan2; Wu，Youchun1; Liu，Yao3; Li，Zhiwei1; Li，Guobao4

2021-12-01

10.1186/s12885-021-08337-y

BMC Cancer   影响因子和分区

1471-2407

Background: Primary hepatic neuroendocrine tumors (PH-NETs) are extremely rare and unknown. Because of its rarity, its prognosis features and influencing factors are not well established. Methods: Data of 140 patients with PH-NETs diagnosed in the SEER database from 1975 to 2016 were collected. The demographics and clinic-pathological features were described. By using propensity-score matching (PSM) analysis, three associated cohorts were selected to describe the malignancy of PH-NETs and univariate analysis was conducted. Then, multivariate Cox analyses were performed and a predicting nomograph was constructed. C-index, receiver operating characteristic (ROC) curve and calibration curves were used to evaluate the predictive value of nomogram. Results: The overall survival outcomes of PH-NETs were superior to hepatocellular carcinoma (HCC) with a mean survival time 30.64 vs 25.11 months (p = 0.052), but inferior to gastrointestinal tract neuroendocrine tumors in situ (GI-NETs in situ) with a mean survival time 30.64 vs 41.62 months (p = 0.017). With reference to gastrointestinal neuroendocrine tumors with liver metastasis (GI-NETs-LM), GI-NETs-LM had better outcomes in short time (1-year survival rate: 64.75% vs 56.43%) but was worse in long time (5-year survival rate: 8. 63% vs 18.57%). Multivariate Cox analyses showed that tumor grade and surgery were two independent factors for prognosis of the patients (p < 0.00). Tumor grade and surgery were used to construct the predicting nomogram. The C-index was 0.79 (95%CI = 0.75–0.83). The area under curve (AUC) values in ROC were 0.868 in 1-year and 0.917 in 3-year survival and the calibration curves showed good consistency. Conclusions: The overall prognosis PH-NETs is generally favorable, better than HCC and GI-NETs-LM in long term. Preoperative biopsy and complete pathological diagnosis were recommended. Radical surgical intervention including transplantation was the first choice in PH-NETs therapy.

Nomogram model Primary hepatic neuroendocrine tumors (PH-NETs) SEER database

SCI

英语

第一 ; 通讯

WOS:000658351000001

CLINICAL MEDICINE

2-s2.0-85106191195

Scopus

1.Department of Hepato-Biliary Surgery,Shenzhen Third People’s Hospital,The Second Affiliated Hospital,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Ultrasonography,Shenzhen Third People’s Hospital,The Second Affiliated Hospital,Southern University of Science and Technology,Shenzhen,518055,China
3.Department of Hepatology,Beijing Hospital of Traditional Chinese Medicine,Capital Medical University,Beijing,China
4.Department of Lung Disease,Shenzhen Third People’s Hospital,The Second Affiliated Hospital,Southern University of Science and Technology,Shenzhen,518055,China

Zhang，Ziteng,Zhao，Xin,Li，Zhiyan,et al. Development of a nomogram model to predict survival outcomes in patients with primary hepatic neuroendocrine tumors based on SEER database[J]. BMC Cancer,2021,21(1).

Zhang，Ziteng.,Zhao，Xin.,Li，Zhiyan.,Wu，Youchun.,Liu，Yao.,...&Li，Guobao.(2021).Development of a nomogram model to predict survival outcomes in patients with primary hepatic neuroendocrine tumors based on SEER database.BMC Cancer,21(1).

Zhang，Ziteng,et al."Development of a nomogram model to predict survival outcomes in patients with primary hepatic neuroendocrine tumors based on SEER database".BMC Cancer 21.1(2021).