Purpose The study aimed to analyze the relationship between MET gene variants and clinicopathologi-cal features in patients with non-small cell lung cancer(NSCLC).Methods Next-generation sequencing technology was used to detect MET gene variants in NSCLC specimens.The association between MET gene variant status and clini-copathological features was then analyzed.Results Among 1 633 cases of NSCLC,the overall MET mutation rate was 4.53％(74/1 633).Variants were mainly observed in male patients,never-smokers,those older than 60 years,ade-nocarcinoma histology,and patients with TNM stage Ⅲ+Ⅳ disease(P＜0.05).MET gene variant status showed no significant assocication with patient age,sex,smoking history,or pathological subtype(P＞0.05),but was statistical-ly correlated with clinical stage and presence of distant metastasis(P＜0.05).The two major variant types were MET exon 14 skipping and MET amplification,which together accounted for 71.62％of all variants.In addition,MET am-plification was positively correlated with EGFR(P=0.003,rs=0.340)and TP53 mutations(P=0.002,rs=0.362),but showed no correlation with KRAS or ALK gene mutations.In contrast,MET exon 14 skipping was nega-tively correlated with EGFR gene mutations(P＜0.001,rs=-0.409),and showed no significant correlation with KRAS,ALK,or TP53 mutations.Conclusion Different types of MET gene variants(amplification,exon 14 skip-ping,fusion,and others)are significantly associated with clinical advanced clinical stage and distant metastasis in NSCLC,but are independent of patient age,sex,smoking history,and pathological subtype.MET amplification fre-quently co-occur with EGFR and TP53 co-mutations.

[Purpose]To analyze the trends of mortality and disease burden of gastric cancer among residents aged 30 and above from 2009 to 2023 in Wuxi City of Jiangsu Province and to estimate the age-period-cohort effect.[Methods]The gastric cancer mortality data from 2009 to 2023 were collected from Wuxi Death Registration System,and the crude mortality rate,age-standardized mortality rate,years of life lost(YLL)and YLL rate were calculated.The average annual percen-tage change(AAPC)was calculated with Joinpoint regression to analyze the trends of mortality and YLL rate of gastric cancer.The age-period-cohort model was used to analyze the effect of age,pe-riod and birth cohort on gastric cancer mortality.[Results]From 2009 to 2023,there were 32 348 gastric cancer deaths in Wuxi,the crude mortality rate was 44.24/105,and the age-standard mor-tality rate was 25.10/105,with a total YLL of 681 618.33 person-years.The crude mortality rate,age-standardized mortality rate and YLL rate showed decreasing trends,with AAPC of-1.77％(95％CI:-2.10％～-1.43％),-4.59％(95％CI:-4.97％～-4.20％)and-2.14％(95％CI:-2.56％～-1.74％),respectively.From 2009 to 2023,crude mortality rate,age-tandardized mortality rate,YLL in men were higher than those in women,and the decline rates of all indicators in women were faster than those in men.The age effect showed that the overall risk of gastric cancer death increased with age;the period effect showed a gradual decrease in the mortality risk and death burden of gastric cancer over time;the cohort effect showed that the later born cohort had a lower risk of death and death burden.[Conclusion]From 2009 to 2023,the disease burden of gastric cancer mortality in Wuxi showed a decreasing trend,with age and sex being the primary influencing factors.In the future,emphasis should be placed on gastric cancer screening and early intervention in middle-aged and elderly men.

[Purpose]To analyze the survival rate of prostate cancer patients hospitalized in Nan-tong Tumor Hospital from 2007 to 2017.[Methods]A total of 478 prostate cancer patients were admitted in Nantong Tumor Hospital from 2007 to 2017 and 476 cases(99.58％)were followed up till December 31,2020.The survival rate of patients was analyzed with Kaplan-Meier method;Soft-ware SPSS 25.0 and the Log-rank test were employed for statistical analysis.[Results]The aver-age age of prostate cancer patients at admission was(71.74±8.02)years old,and 79.08％were aged 60～79 years.The median survival time was 43 months,and the observed 1-,3-,5-and 10-year survival rates were 77.20％,56.07％,43.01％and 24.53％,respectively.The 5-year survival rates for the age groups of 35～59,60～79 and ≥80 years old were 31.73％,46.64％and 29.65％,respectively(P＜0.05).The 5-year survival rates for patients with stage Ⅰ～Ⅱ,stage Ⅲ,stage IV,and unknown stage were 88.10％,71.66％,33.35％and 37.55％,respectively(P＜0.001).The 5-year survival rates for the periods 2007-2012 and 2013-2017 were 32.85％and 47.79％,re-spectively(P＜0.05).Furthermore survival rates differed significantly across different regions within the jurisdiction(P＜0.05).[Conclusion]Over the past decade,the survival rate of hospital-based prostate cancer patients has significantly improved.Early-stage cases can achieve better survival rates,but the survival rate of elderly patients remains a challenge.Efforts should be made to reduce the proportion of patients with unknown staging Comprehensive measures for prostate cancer prevention and control should be strengthened to reduce incidence,improve prognosis and enhance quality of life of patients.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

AIM:To develop a SAS macro tool for calculating pharmacokinetic(PK)parameters using non-compartmental analysis(NCA)that is applica-ble to various routes and frequencies of drug ad-ministration.METHODS:By incorporating the prin-ciples of NCA PK parameter calculations,the struc-ture of the SAS macro program is designed and pro-grammed.The usage of the macro program is dem-onstrated through simulated examples.RESULTS:Based on NCA,this study programmed a SAS macro using SAS macro language to calculate both single-dose and steady-state complete PK parameters.It supports three modes of drug administration:ex-travascular,intravenous infusion,and intravenous bolus injection,as well as four algorithms for calcu-lating area under the curve(AUC).By comparing with authoritative calculation software,the results were found to be highly consistent across various calculation scenarios,with more accurate calcula-tions for the time of first measurable concentration(Tlag).CONCLUSION:The％M_CREATE_PK_PARAM-ETERS macro is a SAS macro that supports compre-hensive PK parameter calculations in NCA,provid-ing an accurate,efficient,and flexible solution for PK parameter estimation with broad application prospects.

Objective:To systematically assess the operating dynamics and sustainability of the employees'basic medical insurance pooling fund and provide evidence for policy optimization.Methods:Using Province A as a case study,a dynamic actuarial model grounded in the revenue-expenditure balance framework was constructed.Seven policy simulation scenarios were designed to forecast and compare fund trajectories from 2024 to 2050.Results:Without further policy intervention,the pooling fund faces a high risk of medium-to long-term imbalance.Fertility incentives and relaxed migration policies have limited short-term effects,serving primarily to slightly delay the emergence of deficits.Financing-sharing reforms significantly improve revenue quality,while provider-payment reforms effectively curb non-demographic cost growth.Gradual postponement of retirement strengthens fund sustainability by extending contribution periods and delaying benefit outflows.Cross-provincial instant settlement exerts the greatest pressure on fund expenditure.A comprehensive reform package delivers the most favorable and sustainable balance across revenue,expenditure,and accumulation.Conclusion:Future reforms should center on delayed retirement and provider-payment restructuring,coordinated with contribution-base expansion,demographic optimization,and strengthened oversight of cross-regional medical services,thereby forming a multi-policy collaborative governance framework to ensure the long-term sustainability of the pooling fund.

Objective To investigate the expression of matrix metalloproteinase 3(MMP3)in a mouse silicosis model induced by SiO2,and explore its role in pulmonary fibrosis.Methods Six male C57B/6 mice were randomly divided into control and silicosis groups(n=3).The silicosis model was established via intratracheal instillation of SiO2 suspension(0.2 g/kg);the control group were intratracheally instilled with the same amount of normal saline.Human pulmonary fibroblasts(HPF-a)and mouse lung fibroblasts(MLg)were treated with 5 ng/ml of transforming growth factor-β1(TGF-β1)to construct an ex vivo silicosis cell model.Masson trichrome and Sirius red staining were used to assess the effects of SiO2 on pulmonary tissue and extracellular matrix(ECM)deposition.Single-cell transcriptomics was performed on mouse lung tissue,with bioinformatics analyses identifying ECM-associated cellular composition changes and key genes.The expression and distribution of these key genes were analyzed by spatial transcriptomics.Western blotting was employed to detect Vimentin and MMP3 protein levels in mouse lung tissue and fibroblasts.Immunofluorescence staining was used to localize MMP3 in lung ECM and TGF-β1-treated fibroblasts and to evaluate its accumulation in the ECM.Results Masson's and Sirius red staining revealed fibrotic changes and significant ECM collagen deposition in mice of silicosis group.Single-cell and spatial transcriptomics identified fibroblast-associated alterations in ECM components,with MMP3 emerging as a key gene.MMP3 mRNA expression was significantly elevated in mouse lungs of silicosis group and was localized primarily to fibrotic lesions.Western blotting showed a significant increase in MMP3 protein levels in the lungs of silicosis group mice compared to control group(P<0.05).TGF-β1 treatment led to a time-dependent increase in MMP3 protein levels in HPF-a cells(P<0.05).Immunofluorescence revealed elevated MMP3 expression in the ECM of mouse lungs in silicosis group(P<0.05).When TGF-β1 treated MLg cells were seeded onto normal mouse lung ECM,MMP3 expression increased(P<0.05).Similarly,after decellularizing ECM seeded with MLg cells,MMP3 expression levels remained significantly elevated(P<0.01).Co-localization analysis showed enhanced Vimentin and MMP3 signals in and around silicotic nodules in mice of silicosis group(P<0.01).Conclusions In the mouse silicosis model,secretion of MMP3 from fibroblasts increased with TGF-β1 treatment,accumulating in the pulmonary ECM,exacerbating collagen deposition,and promoting fibrosis.MMP3 may serve as a potential therapeutic target for silicosis-induced pulmonary fibrosis.

Objective To explore the mechanism of action of mitochondrial DNA(mtDNA)of alveolar epithelial type Ⅱ cells(AECⅡ)in silicotic fibrosis.Methods This study was divided into the animal experiment and cell experiment.Animal experiment:twenty-eight C57BL/6 mice were randomly divided into the saline group(n=14)and the silicosis model group(n=14),which were given 50 μL of sterile saline and 50 μL of 50 mg/mL of SiO2 suspension by tracheal perfusion respectively.HE staining and Masson staining were performed to observe the histopathological changes of mouse lung tissues after sampling with the exposure of 28 days and 56 days,and Western blot was used to detect the expression levels of functional proteins of pulmonary surfactant protein-D(SP-D),and Krebs von den Lungen-6(KL-6),and fibrotic protein of transforming growth factor-β1(TGF-β1)in mouse lung tissues.Cell experiment:AECⅡ cell line of A549 was exposed to different concentrations of SiO2 suspension.CCK-8 was used to detect cell viability,DAPI staining was used to observe cell apoptosis,Western blot was used to detect related protein expression,JC-1 was used to detect the changes of mitochondrial membrane potential,and RT-qPCR was used to detect mtDNA levels in whole cells,mitochondria,cytoplasm and supernatant.The expression levels of related proteins in AECⅡ were detected by Western blot after cleared mtDNA by DnaseⅠ.Results Histopathological examination of lung tissues showed that SiO2 exposure led to damage in mice lung tissues,with infiltration of inflammatory cell,silica nodules,and a significant increase of collagen fibers.After SiO2 exposure,the protein expressions of SP-D,KL-6 and TGF-β1 in lung tissues were up-regulated(P<0.05).DAPI staining and CCK-8 results showed a reduced activity and impaired apoptosis of AECⅡ after treated with 400 and 800 μg/mL SiO2.JC-1 assay results demonstrated that exposure to 800 μg/mL SiO2 caused a decrease of mitochondrial membrane potential in AECⅡ(P<0.05).RT-qPCR results showed that 800 μg/mL SiO2 exposure led to increased mtDNA levels in the cytoplasm and supernatant of AECⅡ(P<0.05).Western blot results showed that 800 μg/mL SiO2 exposure caused an increase in the levels of SP-D,KL-6,and TGF-β1 proteins,while which were ameliorated by Dnase Ⅰ treatment.Conclusion SiO2 exposure results in the escape and release of AECⅡ mtDNA and dysfunction of AECⅡ,thereby leading to the development of pulmonary fibrosis.

Objective Disability weight(DW)is a fundamental parameter for accurately estimating the disease burden of a population.Comparing the DW differences between provinces and respondent characteristics can provide a basis for accurately obtaining the disease burden.Methods Probit regression analysis was conducted on the paired comparison data obtained from the Chinese Disability Weight Measurement Study during 2020 to 2021.Pearson's correlation r was used to investigate the relation of probit regression coefficients between respondent's characteristics,as well as provinces.Results Based on the probit regression coefficients of paired comparison data,stratified analysis was conducted on these factors including province,age,gender,education level,income level,medical background,occupation,and disease experience status.All Pearson's correlations(r)of probit coefficients between sub-groups based on respondent's characteristics and provinces were above 0.9(P＜0.001).However,the comparison of health states valuation across different provinces showed regional differences in DW estimates of cardiovascular and circulatory disease,diabetes,neurological disorders,mental,behavioral and substance use disorders,hearing and vision loss,and musculoskeletal disorders.The DW estimates for the health states of"epilepsy,less severe(seizures 1～11 per year)"showed the greatest difference between Xinjiang(DW=0.575)and Henan(DW=0.343)provinces.Conclusion There is a high correlation between respondent's characteristics for probit regression coefficients of health states.The comparison of DW estimates between different provinces indicates some differences in health state preferences among these populations.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.