Predictive factors for survival following stereotactic body radiotherapy for hepatocellular carcinoma with portal vein tumour thrombosis and construction of a nomogram

Background We evaluated the treatment response and predictive factors for overall survival (OS) in patients with hepatocellular carcinoma (HCC) and portal vein tumour thrombosis (PVTT), who underwent stereotactic body radiotherapy (SBRT). Additionally, we developed and validated a personalised prediction model for patient survival. Methods Clinical information was retrospectively collected for 80 patients with HCC and PVTT, who were treated with SBRT at the Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital) between December 2015 and June 2019. A multivariate Cox proportional hazard regression model was used to identify the independent predictive factors for survival. Clinical factors were subsequently presented in a nomogram. The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the accuracy of the model and the net clinical benefit. Results All patients completed the planned radiotherapy treatment, and the median follow-up duration was 10 months (range, 1-35.3 months). The median survival duration was 11.5 months, with 3-, 6-, and 12-month survival rates of 92.5, 74.5, and 47.5%, respectively. The multivariable Cox regression model indicated that the following were significant independent predictors of OS: clinical T stage (p = 0.001, hazard ratio [HR] = 3.085, 95% confidence interval [CI]: 1.514-6.286), cirrhosis (p = 0.014, HR = 2.988, 95% CI: 1.246-7.168), age (p = 0.005, HR = 1.043, 95% CI: 1.013-1.075), alpha-fetoprotein level (p = 0.022, HR = 1.000, 95% CI: 1.000-1.000), and haemoglobin level (p = 0.008, HR = 0.979, 95% CI: 0.963-0.994). A nomogram based on five independent risk factors and DCA demonstrated a favourable predictive accuracy of patient survival (AUC = 0.74, 95% CI: 0.63-0.85) and the clinical usefulness of the model. Conclusions SBRT is an effective treatment for patients with HCC with PVTT. Notably, clinical T stage, presence of cirrhosis, age, alpha-fetoprotein levels, and haemoglobin levels are independent prognostic factors for survival. The presented nomogram can be used to predict the survival of patients with HCC and PVTT, who underwent SBRT.

Automated summary

This study evaluated treatment response and predictive factors for overall survival in HCC and PVTT patients undergoing SBRT, and developed a personalised prediction model. Clinical T stage, presence of cirrhosis, age, alpha-fetoprotein levels, and haemoglobin levels were identified as independent prognostic factors for survival in these patients.