Objective:To investigate the immunohistochemical expression pattern of phosphatase and tensin homolog deleted on chromosome ten(PTEN)protein with chromosome 10 deletion in endometrioid carcinoma(EEC)and its relationship with DNA mismatch repair(MMR)protein.Methods:A total of 121 patients diagnosed with EEC,endometrial atypical hyperplasia/endometrial intraepithelial neoplasia(EAH/EIN),and normal endome-trium due to uterine fibroid resection at Hubei Cancer Hospital Affiliated to Tongji Medical College of Huazhong U-niversity of Science and Technology from May 14,2019 to June 7,2023 were selected as the study subjects,inclu-ding 84 patients in the EEC group,17 patients in the EAH/EIN group,and 20 patients in the control group.Immu-nohistochemical was used to detect the expression patterns and differences of PTEN and MMR in endometrial tis-sues of three groups,and the differences in abnormal expression of PTEN protein in EEC between MMR protein deficient(MMRd)group and non-deficient(MMRp)group were compared.Results:①The expression of PTEN protein in 121 endometrial glandular epithelial cells includes four patterns:normal expression,negativeexpression,reduced expression,and heterogeneous expression.②The abnormal expression rates of PTEN protein in the EEC and EAH/EIN groups(84.5％and 94.1％)were higher than those in the control group(10.0％);The ex-pression rates of MMRd protein in the EEC group and EAH/EIN group(35.7％and 35.3％)were higher than those in the control group(0％),and the above differences were statistically significant(P＜0.05).③The abnor-mal expression rate of PTEN in the MMRd group was 96.7％,which was higher than that in the MMRp group(96.7％vs.77.8％,P=0.048).④In the EEC group,with normal and abnormal expression of PTEN protein,there was no statistically significant difference in the comparison of different pathological grades,muscle infiltration depth,lymph node metastasis,and lymphatic vessel invasion between the MMRd group and the MMRp group(P＞0.05).Conclusions:Identifying the abnormal expression pattern of PTEN protein and combining it with MMR protein detection can help identify endometrial dysplasia,and there may be a correlation between PTEN and MMR protein expression in EEC.The abnormal expression of PTEN may not have a clear impact on the biological behavior of MMRd expressing EEC.

OBJECTIVE To formulate an expert consensus on the prevention and control of respiratory infectious diseases in railway stations and trains in China,and to standardize the prevention and control of respiratory infec-tious diseases in railway stations and trains scientifically.METHODS The government authorities organized multi-ple prevention and control experts from transportation,medical care and prevention fields to conduct in-depth re-search through methods such as meetings and on-site investigations,and combined with their practical experi-ence in this field to formulate this expert consensus.RESULTS In-depth studies were conducted on the prevention and control strategies,measures and emergency response system construction of respiratory infectious diseases in railway stations and trains,and this expert consensus was formed.CONCLUSION This expert consensus supple-ments improves the existing prevention and control system for respiratory infectious diseases in railway stations and trains,and provides an important reference basis for the prevention and control of respiratory infectious disea-ses in railway stations and trains.

BACKGROUND:Adipose tissue-derived mesenchymal stem cells release a large amount of exosomes to participate in various pathophysiological processes,but the impact and precise mechanism of exosomes derived from adipose tissue-derived mesenchymal stem cells on autophagy of hepatic stellate cells have not been fully elucidated.OBJECTIVE:To explore the targeted regulatory effect and molecular mechanism of adipose tissue-derived mesenchymal stem cell-derived exosomes on autophagy of hepatic stellate cells through miR-15a-5p.METHODS:Adipose tissue was collected from inguinal region of 8-week male C57BL/6 mice.Adipose tissue-derived mesenchymal stem cells were extracted by collagenase digestion.Adipose tissue-derived mesenchymal stem cell-derived exosomes were extracted by ultracentrifugation.Mouse liver tissue was obtained,and hepatic stellate cells were isolated and extracted using collagenase perfusion digestion and density gradient centrifugation.The experiment was divided into two groups.In control group,hepatic stellate cells were cultured alone for 48 hours.In the exosome group,hepatic stellate cells were co-cultured with adipose tissue-derived mesenchymal stem cell-derived exosomes for 48 hours.The effects of exosomes on hepatic stellate cell proliferation,activation,autophagy,and expression of fibrosis markers were detected by western blot assay,RT-qPCR,and immunofluorescence staining.RT-qPCR and western blot assay were used to detect the effect of exosomes on the mRNA and protein expression of miR-15a-5p and the downstream signaling pathway Bcl-2,Beclin-1,and Rubicon in hepatic stellate cells.RESULTS AND CONCLUSION:(1)Compared with the control group,the ratio of autophagy markers LC3-Ⅱ expression decreased,the number of autophagosome was also significantly decreased,and the intracellular lipid droplets were regenerated,simultaneously,cell volume diminished with the weakening of proliferation in hepatic stellate cells of the exosome group,indicated that the hepatic stellate cell activation was significantly inhibited.(2)Compared with the control group,the expressions of α-smooth actin and type Ⅰ collagen were significantly decreased(P＜0.01),and the expression of miR-15a-5p was significantly increased in hepatic stellate cells of the exosome group(P＜0.01).At the same time,the expression of its downstream target gene Bcl-2 was significantly decreased(P＜0.01),while the expressions of autophagy genes Beclin-1 and Rubicon were significantly increased in hepatic stellate cells of the exosome group(P＜0.01).The results indicate that adipose tissue-derived mesenchymal stem cell-derived exosomes inhibits the expression of Bcl-2 in hepatic stellate cells by targeting miR-15a-5p and increases the expression of downstream autophagy genes Beclin-1 and Rubicon,thereby inhibiting the autophagy of hepatic stellate cells.

Objective To explore the relationship between the degree of compression and shape grading of the cerebral cistern ambiens in hypertensive cerebral hemorrhage(HCH)patients after neural endoscopic intracranial hematoma evacuation(NEIHE)and prognosis.Methods 246 HCH patients who underwent NEIHE surgery from January 2020 to June 2023 were selected as the research subjects.According to the postoperative 6 month Glasgow outcome score(GOS),the patients were divided into good prognosis group(n=158)and poor prognosis group(n=88).Hierarchical regression model was used to analyze the relationship between clinical pathological features and the degree of compression and shape grading of the cerebral cistern ambiens.Multivariate logistic regression model was used to analyze the independent risk factors affecting the poor prognosis of patients with HCH after NEIHE,and a prediction model was constructed.Receiver operating characteristic curve(ROC curve)was drawn with poor prognosis as the outcome variable.Area under the curve(AUC),integrated discrimination improvement(IDI)and net reclassification improvement(NRI)of different prediction models were compared.Hosmer-Lemeshow was used to test the goodness of fit.Generalized additive model(GAM)was used to analyze the relationship between GOS and related factors.Results Compared with the good prognosis group,the poor prognosis group had more preoperative blood loss,lower preoperative Glasgow coma score(GCS),and higher proportion of patients with midline deviation,hypertension history ≥10 years,hemorrhage breaking into the brain ventricle,and operation time in the late stage,the differences were statistically significant(P＜0.05).Compared with the good prognosis group,the proportions of patients with ipsilateral and contralateral cerebral cistern ambiens compression of 3 to 4 points and the morphological classification of cerebral cistern ambiens of grade V in the poor prognosis group were higher,and the differences were statistically significant(P＜0.05).The location of bleeding,midline deviation,and intracranial pressure all had an impact on the degree of compression and morphological grading of the cerebral cistern ambiens,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis(model 2:including the degree of compression and shape grading of the cerebral cistern ambiens)showed that midline deviation,history of hypertension ≥10 years,preoperative bleeding volume＞37 mL,bleeding into the brain ventricles,preoperative GCS＜7 points,late surgical timing,degree of compression of the cerebral cistern ambiens(3 to 4 points on the same side of hematoma,3 to 4 points on the opposite side of hematoma),and grade V morphology were all risk factors influencing the poor prognosis of patients with HCH after NEIHE(P＜0.05).After incorporating the degree of compression and morphological grading of the cerebral cistern ambiens into model 1(excluding the degree of compression and shape grading of the cerebral cistern ambiens),the AUC increased to 0.812(95％CI:0.763～0.872),and both the IDI(0.081,95％CI:0.049～0.095)and NRI(0.611,95％CI:0.510～0.674)of the model improved,with statistically significant differences(P＜0.05).Compared with model 1,model 2 showed an increase in AUC(0.826,95％CI:0.771～0.863),IDI(0.085,95％CI:0.052～0.110),and NRI(0.628,95％CI:0.510～0.709),with statistically significant differences(P＜0.05).The Hosmer-Lemeshow test showed that model 2(P=0.878)had a better fit for predicting poor prognosis than model 1(P=0.691).GAM analysis showed that the higher the degree of compression and morphological grading of the cerebral cistern ambiens,the lower the GOS,and the difference was statistically significant(P＜0.05).ROC curve analysis showed that the combined application of degree of compression and morphological grading of the cerebral cistern ambiens had a high predictive value for poor prognosis,with AUC of 0.935(95％CI:0.890～0.971),sensitivity of 70.26％,and specificity of 93.84％.Conclusion The degree of compression and shape changes of the cerebral cistern ambiens in HCH patients after NEIHE are closely related to prognosis,and the combined application has certain predictive value for poor prognosis.The location of bleeding,midline deviation,intracranial pressure,and other factors significantly affect the compression degree and shape change of the cerebral cistern ambiens.

Background and Aims:Extrahepatic cholangiocarcinoma(ECCA)is a malignancy with insidious onset,strong invasiveness,and poor prognosis,characterized by a high postoperative recurrence rate and a 5-year overall survival of less than 20％.Most existing prognostic models are based on the Cox proportional hazards model,which is limited by the proportional hazards assumption and linearity constraints.The random survival forest(RSF)model,a novel machine learning algorithm,can capture complex interactions and nonlinear effects among variables;however,its application in ECCA remains scarce.Therefore,this study developed a prognostic model for ECCA patients after radical resection using the RSF algorithm,aiming to provide precise and individualized prognostic assessments and support clinical decision-making.Methods:A total of 515 postoperative ECCA patients from the SEER database(2016-2021)were retrospectively enrolled and randomly divided into a training set(n=361)and a test set(n=154).Demographic and clinical variables were collected.Cox models were developed using univariate and multivariate regression,while RSF models were constructed using variable importance(VIMP)and minimal depth methods.Model performance was evaluated using the concordance index(C-index),time-dependent area under the curve(AUC),Brier scores,calibration plots,and decision curve analysis.Survival differences were assessed using Kaplan-Meier analysis,and interpretability was enhanced through the use of SurvSHAP and SurvLIME.Results:Multivariate Cox regression identified seven independent prognostic factors:age,race,income,T stage,N stage,tumor size,and chemotherapy.The RSF model selected four key predictors:age,tumor size,lymph node positive rate,and chemotherapy.In the test cohort,the RSF model achieved a C-index of 0.751,outperforming the Cox model(0.711).The RSF model yielded AUCs of 0.843,0.749,and 0.814 at 1,2,and 3 years,respectively,with superior calibration,overall performance,and net clinical benefit.Nonlinear associations were observed for lymph node positive rate,age,and tumor size,while chemotherapy was associated with reduced mortality risk.Stratified survival curves indicated poorer prognosis in patients without chemotherapy,lymph node positive rate＞0.1,age＞70 years,or tumor size＞20 mm.Conclusion:The RSF model,based on only four readily available clinical variables,demonstrated superior predictive performance compared with the Cox model.It provides a reliable tool for individualized prognosis and postoperative management in ECCA patients.The integration of interpretability frameworks further enhances its clinical applicability,offering potential to improve survival outcomes and quality of life.

Objective To explore the relationship between the degree of compression and shape grading of the cerebral cistern ambiens in hypertensive cerebral hemorrhage(HCH)patients after neural endoscopic intracranial hematoma evacuation(NEIHE)and prognosis.Methods 246 HCH patients who underwent NEIHE surgery from January 2020 to June 2023 were selected as the research subjects.According to the postoperative 6 month Glasgow outcome score(GOS),the patients were divided into good prognosis group(n=158)and poor prognosis group(n=88).Hierarchical regression model was used to analyze the relationship between clinical pathological features and the degree of compression and shape grading of the cerebral cistern ambiens.Multivariate logistic regression model was used to analyze the independent risk factors affecting the poor prognosis of patients with HCH after NEIHE,and a prediction model was constructed.Receiver operating characteristic curve(ROC curve)was drawn with poor prognosis as the outcome variable.Area under the curve(AUC),integrated discrimination improvement(IDI)and net reclassification improvement(NRI)of different prediction models were compared.Hosmer-Lemeshow was used to test the goodness of fit.Generalized additive model(GAM)was used to analyze the relationship between GOS and related factors.Results Compared with the good prognosis group,the poor prognosis group had more preoperative blood loss,lower preoperative Glasgow coma score(GCS),and higher proportion of patients with midline deviation,hypertension history ≥10 years,hemorrhage breaking into the brain ventricle,and operation time in the late stage,the differences were statistically significant(P＜0.05).Compared with the good prognosis group,the proportions of patients with ipsilateral and contralateral cerebral cistern ambiens compression of 3 to 4 points and the morphological classification of cerebral cistern ambiens of grade V in the poor prognosis group were higher,and the differences were statistically significant(P＜0.05).The location of bleeding,midline deviation,and intracranial pressure all had an impact on the degree of compression and morphological grading of the cerebral cistern ambiens,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis(model 2:including the degree of compression and shape grading of the cerebral cistern ambiens)showed that midline deviation,history of hypertension ≥10 years,preoperative bleeding volume＞37 mL,bleeding into the brain ventricles,preoperative GCS＜7 points,late surgical timing,degree of compression of the cerebral cistern ambiens(3 to 4 points on the same side of hematoma,3 to 4 points on the opposite side of hematoma),and grade V morphology were all risk factors influencing the poor prognosis of patients with HCH after NEIHE(P＜0.05).After incorporating the degree of compression and morphological grading of the cerebral cistern ambiens into model 1(excluding the degree of compression and shape grading of the cerebral cistern ambiens),the AUC increased to 0.812(95％CI:0.763～0.872),and both the IDI(0.081,95％CI:0.049～0.095)and NRI(0.611,95％CI:0.510～0.674)of the model improved,with statistically significant differences(P＜0.05).Compared with model 1,model 2 showed an increase in AUC(0.826,95％CI:0.771～0.863),IDI(0.085,95％CI:0.052～0.110),and NRI(0.628,95％CI:0.510～0.709),with statistically significant differences(P＜0.05).The Hosmer-Lemeshow test showed that model 2(P=0.878)had a better fit for predicting poor prognosis than model 1(P=0.691).GAM analysis showed that the higher the degree of compression and morphological grading of the cerebral cistern ambiens,the lower the GOS,and the difference was statistically significant(P＜0.05).ROC curve analysis showed that the combined application of degree of compression and morphological grading of the cerebral cistern ambiens had a high predictive value for poor prognosis,with AUC of 0.935(95％CI:0.890～0.971),sensitivity of 70.26％,and specificity of 93.84％.Conclusion The degree of compression and shape changes of the cerebral cistern ambiens in HCH patients after NEIHE are closely related to prognosis,and the combined application has certain predictive value for poor prognosis.The location of bleeding,midline deviation,intracranial pressure,and other factors significantly affect the compression degree and shape change of the cerebral cistern ambiens.

Background and Aims:Extrahepatic cholangiocarcinoma(ECCA)is a malignancy with insidious onset,strong invasiveness,and poor prognosis,characterized by a high postoperative recurrence rate and a 5-year overall survival of less than 20％.Most existing prognostic models are based on the Cox proportional hazards model,which is limited by the proportional hazards assumption and linearity constraints.The random survival forest(RSF)model,a novel machine learning algorithm,can capture complex interactions and nonlinear effects among variables;however,its application in ECCA remains scarce.Therefore,this study developed a prognostic model for ECCA patients after radical resection using the RSF algorithm,aiming to provide precise and individualized prognostic assessments and support clinical decision-making.Methods:A total of 515 postoperative ECCA patients from the SEER database(2016-2021)were retrospectively enrolled and randomly divided into a training set(n=361)and a test set(n=154).Demographic and clinical variables were collected.Cox models were developed using univariate and multivariate regression,while RSF models were constructed using variable importance(VIMP)and minimal depth methods.Model performance was evaluated using the concordance index(C-index),time-dependent area under the curve(AUC),Brier scores,calibration plots,and decision curve analysis.Survival differences were assessed using Kaplan-Meier analysis,and interpretability was enhanced through the use of SurvSHAP and SurvLIME.Results:Multivariate Cox regression identified seven independent prognostic factors:age,race,income,T stage,N stage,tumor size,and chemotherapy.The RSF model selected four key predictors:age,tumor size,lymph node positive rate,and chemotherapy.In the test cohort,the RSF model achieved a C-index of 0.751,outperforming the Cox model(0.711).The RSF model yielded AUCs of 0.843,0.749,and 0.814 at 1,2,and 3 years,respectively,with superior calibration,overall performance,and net clinical benefit.Nonlinear associations were observed for lymph node positive rate,age,and tumor size,while chemotherapy was associated with reduced mortality risk.Stratified survival curves indicated poorer prognosis in patients without chemotherapy,lymph node positive rate＞0.1,age＞70 years,or tumor size＞20 mm.Conclusion:The RSF model,based on only four readily available clinical variables,demonstrated superior predictive performance compared with the Cox model.It provides a reliable tool for individualized prognosis and postoperative management in ECCA patients.The integration of interpretability frameworks further enhances its clinical applicability,offering potential to improve survival outcomes and quality of life.

Objective:To investigate the immunohistochemical expression pattern of phosphatase and tensin homolog deleted on chromosome ten(PTEN)protein with chromosome 10 deletion in endometrioid carcinoma(EEC)and its relationship with DNA mismatch repair(MMR)protein.Methods:A total of 121 patients diagnosed with EEC,endometrial atypical hyperplasia/endometrial intraepithelial neoplasia(EAH/EIN),and normal endome-trium due to uterine fibroid resection at Hubei Cancer Hospital Affiliated to Tongji Medical College of Huazhong U-niversity of Science and Technology from May 14,2019 to June 7,2023 were selected as the study subjects,inclu-ding 84 patients in the EEC group,17 patients in the EAH/EIN group,and 20 patients in the control group.Immu-nohistochemical was used to detect the expression patterns and differences of PTEN and MMR in endometrial tis-sues of three groups,and the differences in abnormal expression of PTEN protein in EEC between MMR protein deficient(MMRd)group and non-deficient(MMRp)group were compared.Results:①The expression of PTEN protein in 121 endometrial glandular epithelial cells includes four patterns:normal expression,negativeexpression,reduced expression,and heterogeneous expression.②The abnormal expression rates of PTEN protein in the EEC and EAH/EIN groups(84.5％and 94.1％)were higher than those in the control group(10.0％);The ex-pression rates of MMRd protein in the EEC group and EAH/EIN group(35.7％and 35.3％)were higher than those in the control group(0％),and the above differences were statistically significant(P＜0.05).③The abnor-mal expression rate of PTEN in the MMRd group was 96.7％,which was higher than that in the MMRp group(96.7％vs.77.8％,P=0.048).④In the EEC group,with normal and abnormal expression of PTEN protein,there was no statistically significant difference in the comparison of different pathological grades,muscle infiltration depth,lymph node metastasis,and lymphatic vessel invasion between the MMRd group and the MMRp group(P＞0.05).Conclusions:Identifying the abnormal expression pattern of PTEN protein and combining it with MMR protein detection can help identify endometrial dysplasia,and there may be a correlation between PTEN and MMR protein expression in EEC.The abnormal expression of PTEN may not have a clear impact on the biological behavior of MMRd expressing EEC.

BACKGROUND:Adipose tissue-derived mesenchymal stem cells release a large amount of exosomes to participate in various pathophysiological processes,but the impact and precise mechanism of exosomes derived from adipose tissue-derived mesenchymal stem cells on autophagy of hepatic stellate cells have not been fully elucidated.OBJECTIVE:To explore the targeted regulatory effect and molecular mechanism of adipose tissue-derived mesenchymal stem cell-derived exosomes on autophagy of hepatic stellate cells through miR-15a-5p.METHODS:Adipose tissue was collected from inguinal region of 8-week male C57BL/6 mice.Adipose tissue-derived mesenchymal stem cells were extracted by collagenase digestion.Adipose tissue-derived mesenchymal stem cell-derived exosomes were extracted by ultracentrifugation.Mouse liver tissue was obtained,and hepatic stellate cells were isolated and extracted using collagenase perfusion digestion and density gradient centrifugation.The experiment was divided into two groups.In control group,hepatic stellate cells were cultured alone for 48 hours.In the exosome group,hepatic stellate cells were co-cultured with adipose tissue-derived mesenchymal stem cell-derived exosomes for 48 hours.The effects of exosomes on hepatic stellate cell proliferation,activation,autophagy,and expression of fibrosis markers were detected by western blot assay,RT-qPCR,and immunofluorescence staining.RT-qPCR and western blot assay were used to detect the effect of exosomes on the mRNA and protein expression of miR-15a-5p and the downstream signaling pathway Bcl-2,Beclin-1,and Rubicon in hepatic stellate cells.RESULTS AND CONCLUSION:(1)Compared with the control group,the ratio of autophagy markers LC3-Ⅱ expression decreased,the number of autophagosome was also significantly decreased,and the intracellular lipid droplets were regenerated,simultaneously,cell volume diminished with the weakening of proliferation in hepatic stellate cells of the exosome group,indicated that the hepatic stellate cell activation was significantly inhibited.(2)Compared with the control group,the expressions of α-smooth actin and type Ⅰ collagen were significantly decreased(P＜0.01),and the expression of miR-15a-5p was significantly increased in hepatic stellate cells of the exosome group(P＜0.01).At the same time,the expression of its downstream target gene Bcl-2 was significantly decreased(P＜0.01),while the expressions of autophagy genes Beclin-1 and Rubicon were significantly increased in hepatic stellate cells of the exosome group(P＜0.01).The results indicate that adipose tissue-derived mesenchymal stem cell-derived exosomes inhibits the expression of Bcl-2 in hepatic stellate cells by targeting miR-15a-5p and increases the expression of downstream autophagy genes Beclin-1 and Rubicon,thereby inhibiting the autophagy of hepatic stellate cells.

OBJECTIVE To formulate an expert consensus on the prevention and control of respiratory infectious diseases in railway stations and trains in China,and to standardize the prevention and control of respiratory infec-tious diseases in railway stations and trains scientifically.METHODS The government authorities organized multi-ple prevention and control experts from transportation,medical care and prevention fields to conduct in-depth re-search through methods such as meetings and on-site investigations,and combined with their practical experi-ence in this field to formulate this expert consensus.RESULTS In-depth studies were conducted on the prevention and control strategies,measures and emergency response system construction of respiratory infectious diseases in railway stations and trains,and this expert consensus was formed.CONCLUSION This expert consensus supple-ments improves the existing prevention and control system for respiratory infectious diseases in railway stations and trains,and provides an important reference basis for the prevention and control of respiratory infectious disea-ses in railway stations and trains.