Objective To evaluate the role of Lactobacillus plantarum (LP) in the treatment of colitis in interleukin (IL)-10 knockout (IL-10-/-) mice and to explore its possible mechanisms.Methods Eight weeks old female wildtype (WT) mice and IL-10-/- mice, twenty mice of each type,were randomly assigned to four groups, WT group, WT+ LP group, IL-10-/- group and IL-I0-/- +LP group. The WT and IL-10-/- mice were gavaged with 0.5 ml saline, WT+Lp and IL-10-/- +Lp groups were gavaged with Lp 0.02 g (0.5 ml) ,took Lp 1 × 109 cfu everyday,continued for 4 weeks and then the experiment finished. The fresh mice faeces was collected once every week before (week 0) and during the experiment. The mice were executed at the end of experiments, the change of mice weight Was recorded, the length and the wet weight of colon were measured, fresh colon tissue specimens were taken for biological slices and proinflammatory cytokines TNF-a and IFN-γ were measured in colon mucosa. The fresh faeces were selectively cultured. The colonization of Lp in normal and colitis mice and its regulation role in intestinal flora were observed. Results Compared with WT mice, IL-10-/- mice demonstrated severe diarrhea, significantly decreased in body weight (P ＜0.05)and serious malnutrition. After Lp treatment, diarrhea relieved in IL-10-/- mice and the body weight increased significantly (P＜0.05). Pathological examination suggested that 100％ of IL-10-/-mice had intestinal inflammation, however after Lp treatment intestinal inflammation improved significantly. Mucosal ulcer, epithelial hyperplasia, the infiltration of neutrophils and lymphocytes in the lamina propria were also significantly reduced.The histopathological score was significantly lowered (P＜0.01). After Lp treatment, colon wet weight and the ratio of wet weight to length of IL-10-/- mice changed significantly (P＜0.01). Colon edema and thickening improved remarkably. The TNF-a and IFN-γ concentration of colon in IL-10-/- mice were 377.4±84.4 μg/g and 602.6±108.1 μg/g,which increased obviously than WT group (139.2 ± 32. 7 μg/g and 173.0± 52.4 μg/g, P＜0.05). After treated with Lp for four weeks, the TNF-α and IFN-γ concentration of colon in IL-10-/-+Lp group mice were 207.2±65.7 μg/g and 442.1 ± 138.4 μg/g, both were lower than that of IL-10-/- group mice (P＜0.05). The intestinal flora was disrupted in IL-10-/- mice. Conclusion Lp can effectively reduce intestinal inflammation in IL-10-/- mice, which take certain part in treatment in colitis. This treatment effect is associated with intestinal flora regulation and the inhibition of proinflammation cytokines expression.

Objective To investigate the effect of Lactobacillus plantarum(LP)on intestinal flora and bacterial translocation in mice with spontaneous inflammatory bowel disease(IBD). Methods Interleukin 10 knockout mice(IL-10~(-/-))were used as models of IBD.Eight-week old female mice were randomized to control group, IL-10~(-/-)group and IL-10~(-/-)+LP group.IL-10~(-/-)+LP group received 0.5 mL LP(1.0×10~9CFU/mL)per day for 4 weeks,and the other groups received 0.5 mL Ringer buffer.Intestinal flora including Bifidobacteria,Lactobacilli,Enterobacteriaceae and Clostridium perfringens in the feces and bacterial translocation in mesenteric lymph nodes and spleens were detected. Results The contents of Bifidobacteria and Lactobacilli significantly decreased in the intestine of IL-10~(-/-)mice,while those of Enterobacteriaceae and Clostridium perfringens significantly increased,and the bacterial translocation significantly increased.Four weeks after LP treatment, the disturbed intestinal flora was restored, and the bacterial translocation decreased. Conclusion LP administration can modulate the imbalance of intestinal flora and decrease the bacterial translocation,thus enhance intestinal barrier function in mice with IBD.

Objective To summary the experience of laparoscopic cystectomy ileal conduit (Bricker) and orthotopic ileal neo‐bladder (Hautmann) and compare the short‐term efficacy of the two types of urinary diversion for invasive bladder cancer . Methods Retorspective analysis of the patients in our hospital who accepted laparoscopic radical cystectomy from 2010 to 2014 was performed ,74 of them accepted ileal conduit ,and 30 of them accepted orthotopic ileal neobladder .The general clinical data ,postop‐erative recovery ,postoperative complications and Oncology feature were analyzed and compared between the two groups .Results There was no demonstrable difference was found in operation time ,blood loss ,intraoperative blood transfusion rate ,the number of removed lymph node ,average hospital stay ,specimens positive margin rate and postoperative pathology results between the two groups (P>0 .05) .But there were significant difference in postoperative intestinal function recovery time[(4 .2 ± 1 .4)d ,(5 .3 ± 2 .2)d] ,(P=0 .002) ,and the complication rates 31 .9% (23 cases)vs .53 .3% (16 case) ,P=0 .043 .After 6 months ,the daytime and nighttime urinary control were 76 .9% ,57 .7% ,after 12 months ,the daytime and nighttime urinary control increased to 90 .9% , 81 .8% .2 cases(7 .7% ) were diagnosed with recurrence or metastasis during follow‐up in Hautmann group ,while 9 cases(14 .1% ) were diagnosed with recurrence or metastasis in Bricker group .Conclusion Two kinds of surgical procedures both have the similar therapeutic effect ,but the postoperative quality of life is better for Hautmann orthotopic neobladder patients .

Objective To explore the feasibility of detecting the cytokeratin 20 (CK-20) mRNA in exfoliated urothelial cells for the diagnosis of bladder carcinoma. Methods Reverse transcriptase-polymerase chain reaction (RT-PCR) was used to detect the expression of CK-20 mRNA in cells collected from the urine of 45 cases of bladder cancer, 15 cases of cystitis accompanied by hematuria, 10 healthy volunteers, and 7 different cell lines, including bladder cancer cell line T24, kidney cancer 786-0 and GRC-1, breast cancer MCF-7 and MDA-MB-435, and ovary cancer SKOV 3 and 3AO. Results CK-20 mRNA expression was detected in 36 of 41 cases of bladder transitional cell carcinoma (87.80%), in 18 of the 21 GⅠ patients (85.71%), in 11 of the 13 GⅡ patients (84.62%), in 7 of the 7 GⅢ patients (100%), in 20 of the 22 T a-1 patients (90.91%), and in 16 of the 19T 2-4 patients (84.21%). Sensitivity of the method was found to be 87.80%, whereas specificity was 73.33%. In 15 patients with hematuria, there were 4 cases of false positive: 1 case of BPH, 1 case of atypical hyperplasia, 1 case of chronic inflammation, and 1 case undergoing TURP previously. CK-20 amplification band was also obtained in all of 19 cases of bladder transitional cell tumor tissues and bladder cancer cell line T24, but not in 4 patients with non-transitional cell carcinoma and 6 other tumor cell lines. No false positive cases were found in the healthy control group. Conclusion These results suggest that CK-20 might be a useful tumor marker for early noninvasive diagnosis and follow-up of bladder cancer by detecting CK-20 mRNA expression of uroepithelial cells from the voided urine specimen by RT-PCR.

Radiogenomics aims at investigating the relationship between radiomics features and genomic features, which has certain practical value in the individualized molecular targeted therapy. Meanwhile, it is noninvasive, repeatable and inexpensive. In recent years, a large number of studies have shown that radiomics features have certain predictive values for the mutation status of driver genes of lung cancer. The application of radiogenomics is insufficient at present, but with its continuous improvement and development, it will play an increasingly important role in the precise therapy of lung cancer in the future.

Radiogenomics explores the relationship between imaging features and gene expression patterns using radiomics, which is non-invasive and can present the overall information of tumors. The application of radiomics, somewhat effective in predicting gene mutations in non-small cell lung cancer (NSCLC), has recently become a research focus. Radiomic features, combined with conventional imaging, clinical and other features, can provide multi-directional information on tumors and play an increasingly important role in the prediction and precise treatment of NSCLC-driving gene phenotypes.

Objective To observe the targeting function of high affinity anti-EGFR monoclonal antibody (Cetuximab)conjugated superparamagnetic iron oxide-dopamine (anti-EGFR-PEG-SPIO) lung cancer cells via epidermal growth factor receptor (EGFR),as well as the feasibility for surveillance of tumor targeting with MRI.Methods Nanoparticles (NPs)of anti-EGFR-PEG-SPIO and PEG-SPIO were prepared,and the morphology of nanoparticles was observed with transmission electron microscope (TEM).The hydrodynamic diameter and R2 values of nanoparticles before and after conjugation with anti-EGFR were performed with dynamic light scattering (DLS) and MRI.MRI was performed in incubation with anti-EGFR-PEG-SPIO and PEG-SPIO after 2 h in vitro.The cellular uptake of anti-EGFR-PEG-SPIO and PEG-SPIO was further evaluated using Prussian blue staining and TEM.Results Anti-EGFR-PEG-SPIO and PEG-SPIO showed signal intensity of H460 cells on T2WI,decreased significantly compared with PEG-SPIO.The rate of signal intensity change was -58.2％,-82.7％,-94.4％ and-98.3％,respectively,at iron concentrations of (0,10,20,40,80 μg/ml) of antiEGFR-PEG-SPIO.Prussian blue staining and TEM showed that a lot of intracellular irons of anti-EGFR-PEG-SPIO were observed in H460 cells,but few of PEG-SPIO.Conclusion The effect of active targeting via anti-EGFR in EGFR overexpressed cells can be achieved with anti-EGFR-PEG-SPIO in H460 cells in vitro,and the targeting delivery process could be monitored with 3.0T MRI.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.