Immunotherapy has become a pivotal modality in clinical cancer treatment. However, its effectiveness is limited to a small subset of patients due to the low antigenicity, impaired innate response, and various adaptive immune resistance mechanisms of the tumor microenvironment (TME). Accumulating evidence reveals the critical roles of metal elements in shaping immunity against tumor progression and metastasis. The marriage of metalloimmunotherapy and nanotechnology further presents new opportunities to optimize the physicochemical and pharmacokinetic properties of metal ions in a precise spatiotemporal control manner. Several metallodrugs have demonstrated encouraging immunotherapeutic potential in preliminary studies and are currently undergoing clinical trials at different stages, yet challenges persist in scaling up production and addressing long-term biosafety concerns. This review delineates how metal materials modulate biological activities across diverse cell types to orchestrate antitumor immunity. Moreover, it summarizes recent progress in smart drug delivery-release systems integrating metal elements, either as cargo or vehicles, to enhance antitumor immune responses. Finally, the review introduces current clinical applications of nanomedicines in metalloimmunotherapy and discusses potential challenges that impede its widespread translation into clinical practice.

Objective To assess the correlation between the body mass index(BMI)and short-term prognosis in the patients with acute myocardial infarction complicating cardiogenic shock(AMI-CS).Methods A total of 262 patients with diagnosed AMI-CS hospitalized in this hospital from January 2013 to February 2022 were selected as the study subjects,and a total of 255 patients with AMI-CS were included after excluding the patients with incomplete clinical data,no coronary angiography,loss to follow-up and low BMI(<18.5 kg/m2).Among them,those with BMI of 18.5-<24.0 kg/m2 were included in the normal BMI group(n=150),and those with BMI of≥24.0 kg/m2 were included in the overweight or obese group(n=105).The baseline data,auxiliary examinations and treatment measures of the patients were collected,and the patients who did not die at the time of discharge were followed up by telephone on 30 d after AMI onset,and the survival status of the patients,whether having major adverse cardiovascular events(MACE)occurrence and the occurrence time were obtained.The correlation between BMI and endpoint events was assessed by the COX regression model.Results The proportion of complicating atrial fibrillation,BNP and urea levels in the overweight or obesity group were lower than those in the normal BMI group,the BMI and Hb levels were higher than those in the normal BMI group,and the differences were statistically significant(P<0.05).There was no statistically significant difference in the results of cardiovascular examination between the two groups(P>0.05).The use rate of β-receptor blockers in the overweight or obese group was higher than that in the normal BMI group,and the difference was statistically significant(P<0.05).On 30 d of follow-up,the all-cause mortality rate in the overweight or obese group was 39.0%,which was lower than 44.0%in the normal BMI group,but the difference was not statistically significant(P=0.430);there was no statistically signifi-cant difference in the incidence rate of each MACE event and the total incidence rate of MACE between the two groups(P>0.05).The BMI normal group served as the control,the risk of death and the occurrence risk of MACE events in the overweight or obese group had no significant increase(P>0.05).The short-term prognosis had no significant interaction between BMI and the patients in different subgroups(P>0.05).Con-clusion The short-term prognosis has no significant difference between the overweight/obese AMI-CS pa-tients and normal BMI AMI-Cs patients.

Objective To investigate the impacts and mechanism of circular RNA polyribonucleotide nucleotidyltransferase 1(Circ-PNPT1)on glucose and lipid metabolism and offspring outcomes in rats with GDM through microRNA-345-3p(miR-345-3p)/lipid raft scaffold protein 2(FLOT2)axis.Methods 75 pregnant female rats were divided into normal control(NC)group,GDM group,si-NC group,si-Circ-PNPT1 group,and si-Circ-PNPT1+miR-345-3p-inhibitor group,with 15 rats in each group.Glucose and lipid metabolism indexes were detected in each group.FIns was detected by ELISA.The survival rate and body weight of fetal rats were compared in each group.The expression of Circ-PNPT1,miR-345-3p and FLOT2 mRNA in placenta was detected by qRT-PCR.The double luciferase reporter gene experiment verified the targeting relationship between miR-345-3p and Circ-PNPT1 and FLOT2.Western blot was used to detect the expression of FLOT2 protein in rat placenta.Results Compared with the NC group,the level of FPG,FIns,HOMA-IR,TC,TG,LDL-C,embryo weight,and the expressions of Circ-PNPT1,FLOT2 in GDM group increased,the level of HDL-C,embryo survival rate and the expression of miR-345-3p decreased(P<0.05).Compared with GDM group,the level of FPG,FIns,HOMA-IR,TC,TG,LDL-C,embryo weight,and the expression of FLOT2 in si-Circ-PNPT1 group decreased,the level of HDL-C,embryo survival rate and the expression of miR-345-3p increased(P<0.05);MiR-345-3p-inhibitor reversed the improvement of si-Circ-PNPT1 on GDM rats(P<0.05).Conclusions Knocking down Circ-PNPT1 can up-regulate miR-345-3p and down-regulate FLOT2 to improve glucose and lipid metabolism and offspring outcome in GDM rats.

Objective:To explore the prognostic differences between liver resection and transarterial chemoembolization (TACE) in patients with Budd-Chiari syndrome (BCS) complicated by hepatocellular carcinoma (HCC) and to identify independent risk factors affecting patient survival.Methods:The clinical and follow-up data of 103 patients with stage Ⅰa-Ⅲa BCS complicated by HCC treated at the First Affiliated Hospital of Zhengzhou University from Aug 2015 to Sep 2023 were retrospectively analyzed.Results:Patients were divided into two groups based on their initial treatment choices: the liver resection group ( n=20) and the TACE group ( n=83). Before propensity score matching(PSM), the median overall survival in the liver resection group was 42 months longer than in the TACE group (74 months vs. 32 months, P=0.002). After PSM, the median overall survival remained significantly longer in the liver resection group by 39 months (74 months vs. 35 months, P=0.032). In terms of disease-free survival, before PSM, the liver resection group was 30-month longer than the TACE group (42 months vs. 12 months, P=0.001). After PSM, the difference in median disease-free survival between the two groups was 23 months (35 months vs. 12 months, P=0.018). Multivariate Cox regression analysis identified treatment modality and maximum tumor diameter as independent risk factors for overall survival, while treatment modality was the only independent factor for disease-free survival. Conclusions:Liver resection significantly prolongs both overall survival and disease-free survival in resectable HCC in BCS patients compared to TACE. Treatment modality and tumor size are key prognostic factors influencing overall survival.

Objective To investigate the impacts and mechanism of circular RNA polyribonucleotide nucleotidyltransferase 1(Circ-PNPT1)on glucose and lipid metabolism and offspring outcomes in rats with GDM through microRNA-345-3p(miR-345-3p)/lipid raft scaffold protein 2(FLOT2)axis.Methods 75 pregnant female rats were divided into normal control(NC)group,GDM group,si-NC group,si-Circ-PNPT1 group,and si-Circ-PNPT1+miR-345-3p-inhibitor group,with 15 rats in each group.Glucose and lipid metabolism indexes were detected in each group.FIns was detected by ELISA.The survival rate and body weight of fetal rats were compared in each group.The expression of Circ-PNPT1,miR-345-3p and FLOT2 mRNA in placenta was detected by qRT-PCR.The double luciferase reporter gene experiment verified the targeting relationship between miR-345-3p and Circ-PNPT1 and FLOT2.Western blot was used to detect the expression of FLOT2 protein in rat placenta.Results Compared with the NC group,the level of FPG,FIns,HOMA-IR,TC,TG,LDL-C,embryo weight,and the expressions of Circ-PNPT1,FLOT2 in GDM group increased,the level of HDL-C,embryo survival rate and the expression of miR-345-3p decreased(P<0.05).Compared with GDM group,the level of FPG,FIns,HOMA-IR,TC,TG,LDL-C,embryo weight,and the expression of FLOT2 in si-Circ-PNPT1 group decreased,the level of HDL-C,embryo survival rate and the expression of miR-345-3p increased(P<0.05);MiR-345-3p-inhibitor reversed the improvement of si-Circ-PNPT1 on GDM rats(P<0.05).Conclusions Knocking down Circ-PNPT1 can up-regulate miR-345-3p and down-regulate FLOT2 to improve glucose and lipid metabolism and offspring outcome in GDM rats.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective:To explore the prognostic differences between liver resection and transarterial chemoembolization (TACE) in patients with Budd-Chiari syndrome (BCS) complicated by hepatocellular carcinoma (HCC) and to identify independent risk factors affecting patient survival.Methods:The clinical and follow-up data of 103 patients with stage Ⅰa-Ⅲa BCS complicated by HCC treated at the First Affiliated Hospital of Zhengzhou University from Aug 2015 to Sep 2023 were retrospectively analyzed.Results:Patients were divided into two groups based on their initial treatment choices: the liver resection group ( n=20) and the TACE group ( n=83). Before propensity score matching(PSM), the median overall survival in the liver resection group was 42 months longer than in the TACE group (74 months vs. 32 months, P=0.002). After PSM, the median overall survival remained significantly longer in the liver resection group by 39 months (74 months vs. 35 months, P=0.032). In terms of disease-free survival, before PSM, the liver resection group was 30-month longer than the TACE group (42 months vs. 12 months, P=0.001). After PSM, the difference in median disease-free survival between the two groups was 23 months (35 months vs. 12 months, P=0.018). Multivariate Cox regression analysis identified treatment modality and maximum tumor diameter as independent risk factors for overall survival, while treatment modality was the only independent factor for disease-free survival. Conclusions:Liver resection significantly prolongs both overall survival and disease-free survival in resectable HCC in BCS patients compared to TACE. Treatment modality and tumor size are key prognostic factors influencing overall survival.

OBJECTIVE To investigate the use of drugs and the development of pharmaceutical care in the tight medical alliance (shorted for "medical alliance") of Wanzhou District of Chongqing,and provide reference for the further construction of the medical alliance.METHODS A survey form was designed and distributed to 21 constituent units (5 leading units and 16 member units) of 5 medical alliances in Wanzhou District of Chongqing.The statistical analysis was conducted in aspects of basic drug allocation and use,pharmaceutical personnel team construction,the development of pharmaceutical care,and rational use of antibiotics.RESULTS Among the 21 constituent units,4 leading units and 14 member units achieved the target for the proportion of essential drug procurement varieties,with a total compliance rate of 85.71％;4 leading units and 13 member units achieved the target for the proportion of national essential drug allocation and usage amount,with a total compliance rate of 80.95％.The proportions of personnel with doctoral degrees in the 5 leading units and 16 member units were 1.71％ and 0 respectively,and the proportions of personnel with senior professional titles were 8.56％ and 1.63％,respectively.A total of 5 pharmacy or pharmaceutical combined outpatient clinics were set up in the 21 medical alliance units,and 5 clinical pharmacy information service platforms were established;all 5 leading units were able to regularly carry out clinical pharmacy projects,while only 4 out of 16 member units had conducted medical order review and evaluation.The proportions of irrational use of antibiotics in outpatient prescriptions and inpatient medical records of the 16 member units (4.81％,5.21％) were significantly higher than those of the 5 leading units (2.80％,4.00％).CONCLUSIONS The allocation and usage of national essential drugs in 21 constituent units from Wanzhou District of Chongqing are both in good standing.However,the data on the allocation of pharmaceutical professionals and the number,qualifications,and job titles of clinical pharmacists in member units are generally low.Moreover,the pharmaceutical service projects and service quality in member units need to be further improved.

Objective:To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value.Methods:This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group ( n=38) and the survival group ( n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model′s differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results:Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors ( P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions:The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.