ObjectiveTo explore the clinical efficacy of programmed death receptor 1 (PD-1) inhibitor for the treatment of patients with liver cancer, and the predictive value of the Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score combined with Child-Pugh classification on tumor hyperprogression. MethodsA total of 100 patients with liver cancer were selected, and all of them were treated with PD??1 inhibitor. Patients were divided into hyperprogression group (n=18) or non-hyperprogression group (n=82) according to the presence of tumor hyperprogression after treatment, and the clinical efficacy of PD-1 inhibitor for the treatment of patients with liver cancer was analyzed. The receiver operating characteristic curve was used to evaluate the predictive value of Child-pugh classification, ECOG-PS score on the occurrence of tumor hyperprogression in patients with liver cancer. The multivariate Logistic regression model was used to analyze the independent influencing factors for the occurrence of tumor hyperprogression in patients with liver cancer, and the nomogram prediction model was constructed and validated. ResultsAfter treating with PD-1 inhibitor, the disease control rate of patients with liver cancer was 42.00%, and the incidence rate of tumor hyperprogression was 18.00%. There were statistically significant differences in age, drinking history, hepatitis history, tumor diameter, vascular invasion state, distant metastasis state, number of metastatic sites, alpha-fetoprotein level, neutrophil-to-lymphocyte ratio (NLR), Child-Pugh classification, ECOG-PS score between patients of the non-hyperprogression group and the hyperprogression group (P＜0.05). The area under the receiver operating characteristic curve, sensitivity, specificity, positive predictive value, and negative predictive value of Child-Pugh classification combined with ECOG-PS score for predicting liver cancer patients suffering from tumor hyperprogression were higher as compared with single prediction of Child-Pugh classification or ECOG-PS score (P＜0.05). The results of multivariate Logistic regression analysis revealed that age, distant metastasis state, alpha-fetoprotein level, NLR, Child-Pugh classification, and ECOG-PS score were the independent influencing factors for liver cancer patients suffering from tumor hyperprogression (P＜0.05). The nomogram prediction model constructed based on the influencing factors as above exerted favorable discrimination and calibration for predicting the occurrence of tumor hyperprogression in patients with liver cancer. ConclusionThe efficacy of PD-1 inhibitor for treating patients with liver cancer is prominent. ECOG-PS score combined with Child-Pugh classification exerts a favorable predictive value for the occurrence of tumor hyperprogression after receiving PD-1 inhibitor for treatment in patients with liver cancer. Age, distant metastasis state, alpha-fetoprotein level, NLR, Child-Pugh classification, and ECOG-PS score are independent influencing factors for the occurrence of tumor hyperprogression in patients with liver cancer. The nomogram model constructed based on aforementioned indices can provide reference for clinical evaluation of liver cancer patients suffering from tumor hyperprogression.

无