To investigate the efficacy and safety of glucocorticoids combined with cyclophosphamide (CTX) and rituximab (RTX) in elderly patients with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis with renal involvement.

Nerve dysfunction and alterations in genetic material are important factors in hyperhidrosis. In recent years, numerous clinical trials have confirmed the effectiveness and safety of botulinum toxin type A as a neurotoxin and cytotoxin in the treatment of axillary hyperhidrosis. This article describes the pathogenesis of hyperhidrosis and the application and mechanism research progress of botulinum toxin type A in the treatment of axillary hyperhidrosis, hoping to provide a basis for basic studies and clinical treatment related to axillary hyperhidrosis and botulinum toxin type A.

Objective:To evaluate the efficacy and safety of rituximab (RTX) in the treatment of idiopathic membranous nephropathy (IMN), explore the influencing factors of the therapeutic effect and construct a nomogram model for predicting the therapeutic effect.Methods:A single retrospective study was conducted in IMN patients in the First Affiliated Hospital of Zhejiang University School of Medicine from January 2017 to December 2022. All patients received monotherapy with RTX and were followed up for at least 12 months. RTX regimen adopted a B-cell guided regimen to achieve 0 cells/μl of peripheral blood CD19+ B cells through multiple administrations, followed by monitoring every 2?3 months and adding doses as needed to maintain this state. The complete response rate, partial response rate, and composite response rate at 6 months, 12 months and the end of follow up were analyzed. Logistic stepwise regression and R language were applied to construct a nomogram model for efficacy prediction. The receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow test were used to internally validate the nomogram model.Results:A total of 147 IMN patients were included in the study, with age of 56 (47, 65) years, 99 (67.4%) males. There were 69 (46.9%) newly treated patients, 78 (53.1%) retreatment patients. The follow-up time was 14.4 (12.0, 15.0) months. The total RTX dose was 1 800 (1 200, 2 400) mg. The composite response rates at 6 months, 12 months and the end of the follow-up were 36.7% (54/147), 59.9% (88/147) and 63.3% (93/147), respectively. The complete remission rates at 6 months, 12 months and the end of the follow-up were 6.1% (9/147), 13.6% (20/147) and 19.7% (29/147), respectively. Logistic stepwise regression analysis showed that age ≥ 65 years ( OR=0.335, 95% CI 0.135?0.833), retreatment ( OR=0.333, 95% CI 0.144?0.771), high cholesterol ( OR=0.716, 95% CI 0.577?0.888), high serum creatinine ( OR=0.978, 95% CI 0.963?0.993) and B-cell reconstruction within 6 months ( OR=0.273, 95% CI 0.115?0.645) were independent correlated factors affecting composite remission. Based on these factors, a nomogram model for predicting the therapeutic effect of RTX in IMN patients was constructed. The ROC curve indicated that the accuracy of this model in predicting composite remission was good ( AUC=0.814, 95% CI 0.744-0.883). The calibration curve showed that the predicted composite response rate had a good fit with the actual response rate (Hosmer-Lemeshow test χ2=11.917, P=0.155). Conclusions:RTX has good efficacy and safety as a monotherapy for IMN patients. The constructed nomogram prediction model has high discrimination and accuracy to predict the efficacy of RTX treatment for IMN.

Objective To analyze the value of abnormal expression of serum alpha fetoprotein variant 3(AFP-L3)and β2 microglobulin(β2-MG)in predicting complications after interventional surgery in patients with liver cancer.Methods Clinical information of totally 92 patients with liver cancer who underwent inter-ventional surgery in the hospital from January 2020 to December 2023 were retrospectively collected and the patients were divided into complication group(33 cases)and non-complication group(59 cases)according to whether complications occurred after interventional surgery.The levels of AFP-L3 and β2-MG were detected respectively.Multivariate Logistic regression was used to analyze the the factors influencing the occurrence of complications in patients with liver cancer.Receiver operating characteristic(ROC)curve was used to evaluate the val-ue of the levels of AFP-L3 and β2-MG to predict complications in patients with liver cancer.Results Compared with the non-complication group,the proportion of patients with a history of diabetes,positive hepatitis B vi-rus(HBV)-DNA,poorly differentiated histology,and the levels of AFP-L3 and β2-MG were higher in the complication group(P＜0.05),and the course of liver cancer was longer(P＜0.05).Multivariate Logistic re-gression analysis showed that the levels of AFP-L3 and β2-MG were independent risk factors for complications after interventional surgery in patients with liver cancer.The area under the curve(AUC)of AFP-L3 and β2-MG levels in predicting complications after interventional surgery in patients with liver cancer were 0.874 and 0.854,respectively,with sensitivity of 89.77％and 74.79％,and specificity of 87.21％and 84.82％,respec-tively.The cut off values were 92.281 μg/L and 4.430 mg/L,respectively.The AUC of the combination of AFP-L3 and β2-MG levels in predicting postoperative complications was 0.910,which was significantly better than the predictive value of the single indicator(P＜0.05).Conclusion High levels of serum AFP-L3 and β2-MG may be independent risk factors for complications after interventional surgery in patients with liver canc-er.The combined detection of the two serum indicators has higher predictive value for postoperative complica-tions.It provides a new means to evaluate complications in patients with liver cancer after interventional sur-gery.

Objective: To construct and validate a prognostic model for lung cancer based on acrolein-related genes using bioinformatics methods . Methods: Lung cancer datasets GSE30219 and GSE68465 were obtained from the GEO database , and acrolein-related gene sets were retrieved from the CTD database . Differentially expressed genes (DEGs) between cancer and adjacent tissues were identified in the GSE30219 dataset. The intersection of these DEGs and acrolein-related genes was then used to identify candidate genes . Gene set variation analysis ( GSVA) was performed to assess functional alterations based on the intersection genes . A protein-protein interaction (PPI) network was constructed based on the STRING database to identify core hub genes . Subsequently , support vector machine recursive feature elimination (SVM-RFE) and LASSO-Cox regression analyses were employed to develop a prognostic model based on acrolein-related genes , which was independently validated using the GSE68465 dataset. The CIBERSORT algorithm was applied to evaluate the immune cell infiltration characteristics between high- and low-risk groups , and functional enrichment analysis of DEGs between the two groups was conducted to further ex- plore the potential molecular mechanisms underlying the prognostic model . Results : A total of 361 acrolein-related DEGs were identified in lung cancer , and 7 key genes were selected for model construction . Kaplan-Meier survival analysis revealed that patients in the high-risk group had significantly lower survival rates compared to those in the low-risk group (P < 0. 000 1) . Receiver operating characteristic (ROC) curve analysis demonstrated that the mod- el possessed good predictive performance . Moreover , immune infiltration analysis indicated that the risk score was closely associated with multiple immune cell subsets , suggesting a potential role of acrolein-related genes in modula- ting the lung cancer immune microenvironment. Conclusion The prognostic model for lung cancer based on acro- lein-related genes demonstrates significant application value in predicting the prognosis of lung cancer , providing new insights into the potential mechanisms of acrolein in the onset and progression of lung cancer.

Neurological dysfunction and genetic alterations are important factors to hyperhidrosis. In recent years, numerous clinical trials have confirmed the effectiveness and safety of botulinum toxin type A as both a neurotoxin and cytotoxin in the treatment of axillary hyperhidrosis. This article describes the pathogenesis of hyperhidrosis, the therapeutic applications and mechanistic advances of botulinum toxin type A for axillary hyperhidrosis, aiming to provide insights for future basic research and clinical practice.

Nerve dysfunction and alterations in genetic material are important factors in hyperhidrosis. In recent years, numerous clinical trials have confirmed the effectiveness and safety of botulinum toxin type A as a neurotoxin and cytotoxin in the treatment of axillary hyperhidrosis. This article describes the pathogenesis of hyperhidrosis and the application and mechanism research progress of botulinum toxin type A in the treatment of axillary hyperhidrosis, hoping to provide a basis for basic studies and clinical treatment related to axillary hyperhidrosis and botulinum toxin type A.

Objective:To evaluate the efficacy and safety of rituximab (RTX) in the treatment of idiopathic membranous nephropathy (IMN), explore the influencing factors of the therapeutic effect and construct a nomogram model for predicting the therapeutic effect.Methods:A single retrospective study was conducted in IMN patients in the First Affiliated Hospital of Zhejiang University School of Medicine from January 2017 to December 2022. All patients received monotherapy with RTX and were followed up for at least 12 months. RTX regimen adopted a B-cell guided regimen to achieve 0 cells/μl of peripheral blood CD19+ B cells through multiple administrations, followed by monitoring every 2?3 months and adding doses as needed to maintain this state. The complete response rate, partial response rate, and composite response rate at 6 months, 12 months and the end of follow up were analyzed. Logistic stepwise regression and R language were applied to construct a nomogram model for efficacy prediction. The receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow test were used to internally validate the nomogram model.Results:A total of 147 IMN patients were included in the study, with age of 56 (47, 65) years, 99 (67.4%) males. There were 69 (46.9%) newly treated patients, 78 (53.1%) retreatment patients. The follow-up time was 14.4 (12.0, 15.0) months. The total RTX dose was 1 800 (1 200, 2 400) mg. The composite response rates at 6 months, 12 months and the end of the follow-up were 36.7% (54/147), 59.9% (88/147) and 63.3% (93/147), respectively. The complete remission rates at 6 months, 12 months and the end of the follow-up were 6.1% (9/147), 13.6% (20/147) and 19.7% (29/147), respectively. Logistic stepwise regression analysis showed that age ≥ 65 years ( OR=0.335, 95% CI 0.135?0.833), retreatment ( OR=0.333, 95% CI 0.144?0.771), high cholesterol ( OR=0.716, 95% CI 0.577?0.888), high serum creatinine ( OR=0.978, 95% CI 0.963?0.993) and B-cell reconstruction within 6 months ( OR=0.273, 95% CI 0.115?0.645) were independent correlated factors affecting composite remission. Based on these factors, a nomogram model for predicting the therapeutic effect of RTX in IMN patients was constructed. The ROC curve indicated that the accuracy of this model in predicting composite remission was good ( AUC=0.814, 95% CI 0.744-0.883). The calibration curve showed that the predicted composite response rate had a good fit with the actual response rate (Hosmer-Lemeshow test χ2=11.917, P=0.155). Conclusions:RTX has good efficacy and safety as a monotherapy for IMN patients. The constructed nomogram prediction model has high discrimination and accuracy to predict the efficacy of RTX treatment for IMN.

Neurological dysfunction and genetic alterations are important factors to hyperhidrosis. In recent years, numerous clinical trials have confirmed the effectiveness and safety of botulinum toxin type A as both a neurotoxin and cytotoxin in the treatment of axillary hyperhidrosis. This article describes the pathogenesis of hyperhidrosis, the therapeutic applications and mechanistic advances of botulinum toxin type A for axillary hyperhidrosis, aiming to provide insights for future basic research and clinical practice.

Objective:To construct a prognostic risk model for hepatocellular carcinoma(HCC),and elucidate the immune characteristics and immunotherapy response in patients with different prognostic stratification.Methods:RNA-seq data of TCGA-LIHC and ICGC(LIRI-JP),and gene microarray data of GSE14520 and GSE54236 in hepatocellular carcinoma,as well as clinical informa-tion of the corresponding samples were downloaded.First,screening of differentially expressed genes in tumor and non-tumor tissue samples from TCGA-LIHC,GSE14520 and GSE54236.For the common differential genes,univariate cox regression analysis was per-formed using TCGA-LIHC data to obtain HCC prognosis-related genes.Five genes were randomly selected as a panel,and the optimal prognostic marker panel was screened among 10 000 panels using Lasso-cox regression analysis combined with a five-fold cross-valida-tion method.TCGA-LIHC data were used as training set to construct the prognostic risk model,and ICGC data were used as validation set to test the model performance.Tumor immune dysfunction and exclusion(TIDE)algorithm and Immunophenotypic score(IPS)were used to predict immunotherapy efficacy in patients in different prognostic groups.Results:Overall survival was significantly lon-ger in low-risk group of HCC patients compared with high-risk group.Tumor proliferation rate,Treg and Th2 cell chemotaxis,stromal remodeling,and pro-tumor cytokines were significantly increased in high-risk patients,while NK cells,Th1 cells,effector cells and endothelial cells were significantly increased in low-risk patients.Immune checkpoint analysis showed that PDCD1,CTLA4 and CD276 were up-regulated in high-risk patients,while PDCD1LG2 was upregulated in low-risk patients.TIDE score and IPS results predicted that patients in low-risk group had better efficacy to immunotherapy.Conclusion:This study constructed a prognostic risk model containing three genes,DNASE1L3,RDH16 and DLGAP5,which can effectively predict the prognosis of HCC patients and assist in clinical decision making for individualized immunotherapy.