Objective To construct and validate a predictive model based on preoperative inflammatory biomarkers,and to evaluate its ability in predicting the prognosis of patients with unresectable hepatocellular carcinoma(HCC)after receiving transcatheter arterial chemoembolization(TACE).Methods A total of 544 patients with HCC,who received TACE as the initial treatment at six medical institutions between January 2007 and December 2020,were retrospectively collected.The patients were divided into training cohort(n=376)and validation cohort(n=168).LASSO algorithm and Cox regression analysis were used to screen out the independent influencing factors and to make modelling.The model was validated based on the discrimination,calibration and clinical applicability,and the Kaplan-Meier risk stratification curves were plotted to determine the prognostic differences between groups.The likelihood ratio chi-square value,R2 value,akaike information criterion(AIC)value,C-index and AUROC value of the model were calculated to determine its accuracy and efficiency.Results The training cohort and validation cohort had 376 participants and 168 participants respectively.Multivariate analysis indicated that BCLC,tumor size,number of tumor lesions,neutrophil and prognostic nutritional index(PNI)were the independent influencing factors for postoperative overall survival(OS),with all P being＜0.05;the BCLC grade,tumor size,number of tumor lesions,NLR,PNI and PS score were the independent influencing factors for progression-free survival(PFS),with all P being＜0.05.The C-indexes of the OS and PFS models were 0.735(95％ CI=0.708-0.762)and 0.736(95％ CI=0.711-0.761)respectively,and the external validation was 0.721(95％ CI=0.680-0.762)and 0.693(95％ CI=0.656-0.730)respectively.Ideal discrimination ability of the nomogram was exhibited in time-dependent C-index,time-dependent ROC,and time-dependent AUC.The calibration curves significantly coincided with the ideal standard lines,indicating that the model had high stability and low over-fitting level.Decision curve analysis revealed that there was a wider range of threshold probabilities and it could augment net benefits.The Kaplan-Meier curves for risk stratification indicated that the prognosis of patients varied dramatically between risk categories(P＜0.000 1).The Kaplan-Meier curves for risk stratification indicated that the prognosis of patients varied dramatically among different risk groups(P＜0.000 1).The likelihood ratio chi-square value,R2 value,AIC value,C-index and AUROC value of the model were better than those of other models commonly used in clinical practice.Conclusion The newly-developed prognostic nomogram based on preoperative inflammatory indicators has excellent accuracy as well as excellent prediction effect in predicting the prognosis of patients with unresectable HCC after receiving TACE,therefore,it can be used as an effective tool for guiding individualized treatment and for predicting prognosis.(J Intervent Radiol,2024,33:245-258)

Background: Microsporum canis is a zoonotic disease that can cause dermatophytosis in animals and humans. Objectives: In clinical practice, ketoconazole (KTZ) and other imidazole drugs are commonly used to treat M. canis infection, but its molecular mechanism is not completely understood.The antifungal mechanism of KTZ needs to be studied in detail. Methods: In this study, one strain of fungi was isolated from a canine suffering with clinical dermatosis and confirmed as M. canis by morphological observation and sequencing analysis.The clinically isolated M. canis was treated with KTZ and transcriptome sequencing was performed to identify differentially expressed genes in M. canis exposed to KTZ compared with those unexposed thereto. Results: At half-inhibitory concentration (½MIC), compared with the control group, 453 genes were significantly up-regulated and 326 genes were significantly down-regulated (p < 0.05). Quantitative reverse transcription polymerase chain reaction analysis verified the transcriptome results of RNA sequencing. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the 3 pathways of RNA polymerase, steroid biosynthesis, and ribosome biogenesis in eukaryotes are closely related to the antifungal mechanism of KTZ. Conclusions The results indicated that KTZ may change cell membrane permeability, destroy the cell wall, and inhibit mitosis and transcriptional regulation through CYP51, SQL, ERG6, ATM, ABCB1, SC, KER33, RPA1, and RNP genes in the 3 pathways. This study provides a new theoretical basis for the effective control of M. canis infection and the effect of KTZ on fungi.