【Objective】 To analyze the position of the feeding artery entering the renal cell carcinoma (RCC) with 3D Slicer software, so as to explore the distribution pattern of the tumor artery and to provide an anatomical basis for the accurate surgical resection. 【Methods】 The clinical data of RCC patients who underwent partial nephrectomy in the Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University during Jan.2021 and Jun.2022 were collected.The preoperative renal artery CT angiography data were imported into 3D Slicer software in DICOM format to construct the relative positions of tumor-feeding artery from horizontal, sagittal and coronary planes.The number and distribution of tumor feeding arteries in each plane were analyzed. 【Results】 A total of 112 patients (59 male and 53 female) with single tumor were involved.RENAL score was 4-10.The tumor stages were T1a in 58 cases, T1b in 48 cases, and T2a in 6 cases.Among them, 38 cases (33.93%) had 1 tumor artery, 53 cases (47.32%) had 2 tumor arteries, and 21 cases (18.75%) had 3 tumor arteries.Of these 207 tumor arteries, 22 (10.63%) entered the tumor through the superficial part of the tumor bed, and 185 (89.37%) through the deep part. 【Conclusion】 In localized RCC, nearly 90% of the feeding arteries enter the tumor from deep part of the tumor bed, which provides an anatomical basis for accurate tumor resection and wound suture in partial nephrectomy.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

In this study, we have firstly investigated the feasibility of rhamnolipids as targeting ligands to develop drug delivery systems for active targeting of pancreatic cancer. Rhamnolipid-modified liposomes (RhaL-Lip) were prepared by a thin film hydration method, and were evaluated preliminarily for RhaL-Lip physicochemical properties, in vitro release characteristics, ex/in vivo targeting, and in vitro pharmacodynamics. RhaL-Lip exhibited excellent targeting ability of human pancreatic cancer (BxPC-3) cells and enhanced anti-tumor effects. On this basis, the natural structural analogue of rhamnolipid, Polyphyllin VII (PPVII), as the targeting material and active ingredient, we explored the targeting and anti-tumor activity of Polyphyllin VII modified liposomes (PPVII-Lip). The results showed that PPVII-Lip has a homogeneous particle size and has a more robust targeting ability for solid tumor in vivo, which can achieve more enrichment at the tumor site. Compared with gemcitabine, the first-line chemotherapy drug for pancreatic cancer, PPVII-Lip showed a stronger inhibitory effect. In conclusion, this targeted drug delivery strategy is expected to provide beneficial ideas for drug delivery studies in targeted therapy for pancreatic cancer. Animal experiments were conducted with approval from the Animal Ethics Committee of southwest university (approval number: IACUC-20210130-2).

ObjectiveTo investigate the effect of shikosin （SHI） on psoriasis （PSO） and explore the underlying mechanism via the cyclic guanosine monophosphate-adenosine monophosphate synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodHaCaT cells were classified into normal culture（Control）， a mixture of five proinflammatory cytokines（M5）， low-， medium-， and high-dose SHI （L-SHI， M-SHI， and H-SHI， respectively）， and SHI+ADU-S100 groups. The cells in the M5 group were stimulated with 10 μg·L^-1 interleukin （IL）-1α， IL-17， IL-22， tumor necrosis factor （TNF）-α， and oncostatin M （OSM） for 48 h. The cells in the L-SHI， M-SHI， and H-SHI groups were treated with 0.1， 1， 10 μmol·L^-1 SHI， respectively， on the basis of the treatment in the M5 group. The cells in the SHI+ADU-S100 group were treated with 10 μmol·L^-1 STING activator ADU-S100 on the basis of the treatment in the H-SHI group. The methyl thiazolyl tetrazolium （MTT） assay and colony formation assay were employed to examine the effect of SHI on the proliferation of HaCaT cells. The wound healing assay was employed to examine the effect of SHI on the migration of HaCaT cells. Flow cytometry was employed to detect the effect of SHI on the apoptosis of HaCaT cells. Enzyme-linked immunosorbent assay was employed to measure the levels of IL-1β， IL-6， IL-15， IL-23， and interferon-γ （IFN-γ） in HaCaT cells. Western blot was employed to determine the protein levels of cGAS and STING in HaCaT cells. ResultCompared with Control group， the M5 group showed decreased survival rate， colony formation， and would healing rate of HaCaT cells， increased apoptosis rate， elevated levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and up-regulated protein levels of cGAS and STING （P<0.01）. Compared with the M5 group， the L-SHI， M-SHI， and H-SHI groups showed increased survival rate， cell colony formation， and wound healing rate， decreased apoptosis rate， lowered levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and down-regulated protein levels of cGAS and STING （P<0.01）. Compared with the H-SHI group， the SHI+ADU-S100 group showed decreased survival rate， cell colony formation， and wound healing rate， increased apoptosis rate， risen levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and up-regulated protein levels of cGAS and STING （P<0.01）. ConclusionSHI can inhibit the inflammation in the cell model of PSO by inhibiting the cGAS/STING signaling pathway.