Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Objective:To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients.Methods:Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control.Results:Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95% CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95% CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern ( OR=0.71, 95% CI: 0.52-0.98) and fruit-aquatic products-potato patterns ( OR=0.71, 95% CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns ( OR=0.60, 95% CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern ( OR=1.41, 95% CI: 1.03-1.94; OR=1.68, 95% CI: 1.13-2.51) and egg-milk-bean pattern ( OR=1.75, 95% CI: 1.25-2.46; OR=1.56, 95% CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q2 group), egg-milk-bean pattern ( Q3 group)" was higher ( OR=6.79, 95% CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q3 group), egg-milk-bean pattern ( Q2 group), oil-salt pattern ( Q2 group)" had higher control rate of 2 h PBG ( OR=12.78, 95% CI: 1.26-130.05, P=0.031). Conclusions:A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.

Objective:To construct a nomogram model for differentiating gastric schwannoma (GS) from gastric stromal tumor (GST) (diameters 2 to 5 cm) based on CT imaging features before surgery.Methods:The clinical and imaging data of 49 patients with GS and 240 patients with GST in the Affiliated Hospital of Jining Medical University from July 2009 to April 2023 and Guangdong Provincial People′s Hospital from June 2017 to September 2022 were analyzed retrospectively. The independent factors for differentiating GS from GST were obtained by multivariate Logistic regression analysis. The nomogram model was constructed by R4.3.1 software. The efficacy of the nomogram model for differentiating GS from GST was evaluated by the receiver operating characteristics (ROC) curve, and calibration curve and decision curve analysis were used to evaluate the predictive efficacy and clinical application value of the nomogram model.Results:There were no statistical differences in the clinical symptom rate, calcification rate, ulcer rate, tumor vessel rate, ratio of long diameter to short diameter and CT value difference during the arterial and nonenhanced phases (CTV A-N) between GS patients and GST patients ( P>0.05). The proportion of female, incidence of lesions located in central or lower part of stomach, extraluminal or mixed growth rate, tumor-associated lymph node rate, strong enhancement rate, CT value difference during the portal and nonenhanced phases (CTV P-N), CT value difference during the delayed and nonenhanced phases (CTV D-N), CT value difference during the portal and arterial phases (CTV P-A) and CT value difference during the delayed and portal phases (CTV D-P) in GS patients were significantly higher than those in GST patients: 75.51% (37/49) vs. 58.33% (140/240), 85.71% (42/49) vs. 54.17% (130/240), 75.51% (37/49) vs. 45.00% (108/240), 44.90% (22/49) vs. 5.42% (13/240), 51.02% (25/49) vs. 27.08% (65/240), 32.0 (26.0, 43.5) HU vs. 29.0 (22.0, 37.7) HU, (44.59 ± 13.46) HU vs. (32.94 ± 12.47) HU, 20.0 (11.5, 25.0) HU vs. 10.0 (5.0, 17.0) HU and 9.0 (6.0, 12.0) HU vs. 4.0 (-2.7, 7.0) HU, the age, irregular shape rate, cystic degeneration rate and heterogeneous enhancement rate were significantly lower than those in GST patients: (58.12 ± 12.59) years old vs. (62.05 ± 11.22) years old, 16.33% (8/49) vs. 38.33% (92/240), 18.37% (9/49) vs. 51.25% (123/240) and 34.69% (17/49) vs. 56.25% (135/240), and there were statistical differences ( P<0.05 or<0.01). Multivariate Logistic regression analysis result showed that location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P were the independent factors for differentiating GS from GST ( OR= 3.599, 0.201, 19.031, 1.124 and 1.160; 95% CI 1.184 to 10.938, 0.070 to 0.578, 6.159 to 58.809, 1.066 to 1.185 and 1.094 to 1.231; P<0.05 or<0.01). The nomogram model for differentiating GS from GST was constructed based on location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P. The area under curve of the nomogram model for differentiating GS from GST was 0.924 (95% CI 0.887 to 0.951). The calibration curve analysis result showed that there was a good agreement between the predicted GS curve and the actual GS curve (the mean absolute error was 0.033). The result of the Hosmer-Lemeshow goodness-of-fit test indicated that the calibration of the nomogram model was appropriate ( χ2 = 2.52, P = 0.961). The clinical decision curve analysis result showed that when the threshold for the nomogram model for differentiating the two tumors was>0.03, the nomogram yielded more net benefits than the "all patients treated as GS" or "all patients treated as GST" scenarios. Conclusions:The nomogram model based on CT imaging features can be used to differentiate GS from GST before surgery.

Objective:To explore the value of conventional magnetic resonance imaging (MRI), diffusion weighted imaging (DWI), diffusion kurtosis imaging (DKI) sequence and pathological examination in predicting the efficacy of neoadjuvant chemotherapy (NAC) in advanced breast cancer.Methods:The clinical data of 65 cases of advanced breast cancer with NAC confirmed by pathology in the Affiliated Hospital of Jining Medical University from March 2022 to May 2023 were retrospectively analyzed, including 20 cases in the pathological complete remission (pCR) group and 45 cases in the non pCR group; All patients underwent routine MRI, DWI, DKI examinations and pathological analysis. The clinical pathological data, routine MRI features, apparent diffusion coefficient (ADC) values, mean kurtosis coefficient (MK), and mean diffusion coefficient (MD) between the two groups were analyzed; We compared the differences in various parameters between two groups and plotted receiver operating characteristic (ROC) curves to compare their diagnostic efficacy of NAC in breast cancer.Results:There were significant differences in molecular typing, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (Her-2) and Ki-67 between pCR group and non pCR group (all P<0.05). In pCR group, Her-2 overexpression type and triple negative breast cancer (TNBC) type breast cancer were more common. ER and PR were mostly negative, Her-2 was mostly positive, and Ki 67 was mainly positive. The difference in tumor T2WI signal between the pCR group and the non pCR group was statistically significant ( P<0.05), with the pCR group showing mostly moderate/low T2WI signal. The ADC and MD values of the pCR group were lower than those of the non pCR group, while the MK value of the pCR group was higher than that of the non pCR group, and the differences were statistically significant (all P<0.001). The area under the ROC curve (AUC) for predicting the efficacy of NAC using a clinical pathological model was 0.829, which was higher than the AUC of molecular subtypes, ER, PR, Her-2, and Ki-67 ( Z=3.008, 2.697, 2.815, 2.131, 2.376, all P<0.05); The AUC of the DKI+ DWI predicting the efficacy of NAC was 0.934, which was higher than that of the DWI single sequence model, and the difference in type was statistically significant ( Z=2.396, P=0.017). The diagnostic efficacy of the DKI+ DWI model was higher than that of the single parameter ADC, MD, and MK, and the differences were statistically significant ( Z=2.396, 2.219, 2.161, all P<0.05); The AUC of the combined imaging and pathology model was 0.983, and its diagnostic efficacy was higher than that of the conventional MRI feature model, pathology model, DWI model, and DKI model, with statistically significant differences ( Z=5.877, 2.961, 3.240, 2.264, all P<0.05). Conclusions:The results of pathology, conventional MRI, DWI and DKI parameters of pCR and non pCR breast cancer patients are significantly different, and the combined model is better than the single model in predicting the efficacy of NAC.

Objective:To investigate the current situation and organizational management policies of government procurement in public hospitals,and to improve the level of standardized management of government procurement.Methods:An electronic questionnaire survey was conducted to investigate the current status of organization and administration of government procurement in different types and levels of public hospitals across the country.The current situation of the organizational structure,management system,working mode,supervision and evaluation,budget establishment,bidding and procurement,contract signing,acceptance process,payment management,and other aspects of government procurement management in public hospitals were analyzed.Results:A total of 216 valid questionnaires were collected from 216 public hospitals in 28 provinces,municipalities and autonomous regions across the country,including 165 general hospitals,37 specialized hospitals and 13 traditional Chinese medicine hospitals,accounting for 76.39％,17.13％and 6.02％respectively;among the hospital levels,there were 202 tertiary hospitals(accounting for 93.52％).Among the surveyed government procurement management institutions of public hospitals,there were 112,103,110 and 112 organizations at the four levels of procurement management committee,procurement management office,procurement center and business and administrative logistics department,accounting for 51.85％,47.69％,50.93％and 51.85％respectively.The quota standards for public bidding for government procurement in all hospitals were in line with the requirements of national laws and regulations.The approval of funds payment must conditions of each hospital complied with relevant requirements.In terms of management effects of risk prevention and control,the hospitals with very good,good,average and inadequate were 48,125,34 and 9 respectively,accounting for 22.22％,57.87％,15.74％and 4.17％.Conclusion:The organizational framework and management system of government procurement in public hospitals are becoming increasingly standardized,and there are certain differences in the work mode and process of government procurement in different hospitals,and the supervision and evaluation are relatively weak,which is worthy of attention and strengthened administration.

Esophageal leiomyoma is the most common benign tumor of the esophagus,usually asymptomatic.With the development and widespread application of endoscopic ultrasonography technology,its detection rate has been increasing year by year.Its diagnostic methods have evolved from initial esophagography and chest electronic computed tomography,to endoscopic ultrasonography,endoscopic ultrasonography-guided fine-needle aspiration,and endoscopic ultrasonography-guided fine-needle biopsy.The technology is constantly updated,and the diagnostic accuracy is constantly improving.The treatment methods have also shifted from previous open chest surgery to thoracoscopic surgery,and in recent years,there has been a shift towards ultra minimally invasive techniques such as endoscopic mucosal resection,endoscopic submucosal dissection,endoscopic submucosal excavation,endoscopic full-thickness resection,and submucosal tunnel endoscopic resection.This article provides a review of the diagnosis and endoscopic treatment progress of esophageal leiomyoma.

Objective:To evaluate the value of CT for differentiating gastric leiomyoma (GLM) from gastric schwannoma (GS).Methods:The clinical and imaging data of 42 patients with GLM (GLM group) and 41 patients with GS (GS group) were analyzed retrospectively. The general information and CT features were compared between two groups. The independent factors for differentiating GLM from GS were obtained by multivariate Logistic regression analysis. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of the model.Results:The proportion of female and age in GLM group were significantly lower than those in GS group: 59.52% (25/42) vs. 85.37% (35/41), (51.83 ± 10.52) years old vs. (58.80 ± 10.63) years old, and there were statistical differences ( P<0.01). The upper part of the stomach rate, irregular shape rate, intraluminal growth rate, ratio of long diameter to short diameter and mild to moderate enhancement rate in GLM group were significantly higher than those in GS group: 71.43% (30/42) vs. 14.63% (6/41), 52.38% (22/42) vs. 21.95% (9/41), 92.86% (39/42) vs. 19.51% (8/41), 1.90 ± 0.55 vs. 1.34 ± 0.28 and 92.86% (39/42) vs. 51.22% (21/41), the cystic degeneration rate, ulcer rate, incidence of tumor-associated lymph node, CT values of venous phase and delayed phase in GLM group were significantly lower than those in GS group: 2.38% (1/42) vs. 26.83% (11/41), 7.14% (3/42) vs. 24.39% (10/41), 2.38% (1/42) vs. 60.98% (25/41), (59.21 ± 9.75) HU vs. (66.22 ± 10.33) HU and (65.02 ± 8.62) HU vs. (76.85 ± 11.89) HU, and there were statistical differences ( P<0.01 or <0.05); there were no statistical difference in the rate of calcification and the CT values of plain scan and arterial phase between the two groups ( P>0.05). Multivariate Logistic regression analysis result showed that the tumor location, growth mode, tumor-associated lymph node and ratio of long diameter to short diameter were the independent factors for differentiating GLM from GS ( OR = 34.385, 25.314, 0.023 and 97.700; 95% CI 2.848 to 415.171, 2.674 to 239.670, 0.001 to 0.637 and 3.113 to 3 066.549; P<0.01 or <0.05); when the model threshold was >0.647, the area under the curve was 0.988 (95% CI 0.934 to 1.000), with a sensitivity of 92.9% and specificity of 97.6%. Conclusions:When the tumor is prone to the upper part of the stomach, intraluminal growth, ratio of long diameter to short diameter >1.28, and the absence of the tumor-associated lymph node, GLM tends to be considered, on the contrary, it tends to be GS. Therefore, CT imaging features have certain value in differentiating GLM from GS before surgery.

Methods:From Jan 2019 to Nov 2021, 20 patients underwent 3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique and branched stents for the EVAR at the three hospitals. The clinical data patients were collected and analyzed.Results:All the 20 cases underwent 3D printed template assisted pre-fenestration of stent graft according to the data of pre-operative the computed tomographic angiography (CTA). EVAR was successfully performed in all patients(included 2 cases with one fenestration,5 cases with 2 fenestration,10 cases with 3 fenestration and 3 cases with 4 fenestration). Fifty-four reinforced fenestrations (20 in right renal artery, 18 in left renal artery, 13 in superior mesenteric artery and 3 in celiac artery) were performed. During the follow-up period (mean 14.6 months), 1 case died, and the one-stage patency rate of splanchnic artery branch stent was 98.1%. Four patients had endoleak, 1 patient died of intracranial hemorrhage during postoperative period. None of patients had postoperative paraplegia or organ ischemia.Conclusions:3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique is feasible for EVAR in the treatment of complex abdominal aortic aneurysms and dissections. The technique is capable to reinforce the blood supply of visceral arteries with satisfied short-term effectiveness.Ojective:To evaluate 3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique and branched stents for the endovascular aortic aneurysm repair (EVAR).