Objective To investigate the short-term efficacy and prognostic factors of donafenib combined with transcatheter arterial chemoembolization(TACE)in the treatment of spontaneously ruptured hepatocellular carcinoma.Methods A retrospective analysis was conducted on the data of patients diagnosed with spontaneously ruptured hepatocellular carcinoma.According to the treatment meth-ods,patients were categorized into simple group(TACE)and combined group(donafenib combined with TACE).Median progres-sion-free survival(mPFS),objective remission rate(ORR),disease control rate(DCR),and median overall survival(mOS)were calculated,and treatment-related adverse events were counted.Finally,prognostic survival factors were analyzed by Cox regression.Results The mPFS for the simple group was 4.6 months,compared to 13.6 months for the combined group(χ2=9.081,P=0.003).Similarly,the mOS for the simple group was 7.6 months,compared to 17.4 months for the combined group(χ2=6.351,P=0.012).Both mPFS and mOS were significantly lower in the simple group than those in the combined group.The ORR of 25.7%and DCR of 57.1%in the simple group were significantly lower than the ORR of 55.6%and DCR of 81.5%in the combined group,and the difference between the two groups was statistically significant(P<0.05).However,there was no statistically significant difference in the incidence of rebleeding,abdominal pain and fever between the two groups(P>0.05).Additionally,age,portal vein tumor thrombus(PVTT),Child-Pugh grade,tumor diameter,and total biliru-bin(TBIL)were identified as prognostic factors(P<0.05).Conclusion Donafenib combined with TACE is an effective and safe treatment option for spontaneously ruptured hepatocellular carcinoma.Furthermore,factors such as age,PVTT,Child-Pugh grade,tumor diameter,and TBIL serve as prognostic indicators for spontaneously ruptured hepatocellular carcinoma.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.

Objective To investigate the short-term efficacy and prognostic factors of donafenib combined with transcatheter arterial chemoembolization(TACE)in the treatment of spontaneously ruptured hepatocellular carcinoma.Methods A retrospective analysis was conducted on the data of patients diagnosed with spontaneously ruptured hepatocellular carcinoma.According to the treatment meth-ods,patients were categorized into simple group(TACE)and combined group(donafenib combined with TACE).Median progres-sion-free survival(mPFS),objective remission rate(ORR),disease control rate(DCR),and median overall survival(mOS)were calculated,and treatment-related adverse events were counted.Finally,prognostic survival factors were analyzed by Cox regression.Results The mPFS for the simple group was 4.6 months,compared to 13.6 months for the combined group(χ2=9.081,P=0.003).Similarly,the mOS for the simple group was 7.6 months,compared to 17.4 months for the combined group(χ2=6.351,P=0.012).Both mPFS and mOS were significantly lower in the simple group than those in the combined group.The ORR of 25.7%and DCR of 57.1%in the simple group were significantly lower than the ORR of 55.6%and DCR of 81.5%in the combined group,and the difference between the two groups was statistically significant(P<0.05).However,there was no statistically significant difference in the incidence of rebleeding,abdominal pain and fever between the two groups(P>0.05).Additionally,age,portal vein tumor thrombus(PVTT),Child-Pugh grade,tumor diameter,and total biliru-bin(TBIL)were identified as prognostic factors(P<0.05).Conclusion Donafenib combined with TACE is an effective and safe treatment option for spontaneously ruptured hepatocellular carcinoma.Furthermore,factors such as age,PVTT,Child-Pugh grade,tumor diameter,and TBIL serve as prognostic indicators for spontaneously ruptured hepatocellular carcinoma.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.