ObjectiveTo compare the clinical effect of video-assisted thoracoscopic surgery (VATS) and median sternotomy in treatment of myasthenia gravis(MG).Methods48 patients received extended thymectomy for MG were divided into two groups by operative approach,23 cases in VATS group and 25 cases in control group.The operative time,operative blood loss,postoperative drainage quantity,patients' length of stay,the incidence of crisis and curative effect after follow-up were analyzed.ResultsThe operative blood loss,postoperative drainage quantity,patients' length of stay of the VATS group were significantly less than those of the control group.There was no significant difference of the operative time.During a follow-up of 6 ～ 32 months,symptom was improved in 82.6％ of patients in VATS group and 80.0％ in the control group (P ＞ 0.05 ).One case complicated with MG crisis was found in the VATS group and three cases in the control group.ConclusionVATS for MG was safe and effective with the advantages of less invasive,fewer complications and quick recovery.It was the first choice for the surgical treatment of MG.

Objective To search the surgical methods of esophageal carcinoma complicated with cicatricial pyloric obstruction .Methods 18 cases were treated with resection. Among the resections,16 cases underwent resection of esophageal carcinoma esophago-gastrostomy above aortic arch in chest plus gastro-jejunum anastomosis ;2 cases treatment with resection of esophageal carcinoma plus esophago-gastretomy above aortic arch in chest combined with pyloroplasty.Results Of 18 cases ,cure rate was 100%.No severe complications were occurred in the procedure. Conclusion Surgical operation is safe , applicable and effective in treatment of esophageal carcinoma complicated with cicatricial pyloric obstruction.

Child ; Humans ; Lymphoma, Follicular ; diagnosis

Objective:To study the clinicopathological features, immunophenotypes and MED12 gene status in benign metastasizing leiomyoma (BML).Methods:Nine cases of BML diagnosed at the Affiliated Hospital of Qingdao University from 2012 to 2018 were collected, and the radiologic and histologic features were analyzed. The protein expression of leiomyosarcoma-related driver genes, including RB1, PTEN,ATRX,p16,p53, as well as ER,PR,CD34,FH, and Ki-67 were detected using immunohistochemistry, and the mutation status of MED12 gene exon 2 was detected by Sanger sequencing.Results:All the nine patients with BML were female, and the age range was 48 to 64 years (median 55 years). All patients had history of uterine fibroids. The morphologic features of BML were similar to a benign uterine leiomyoma and did not exhibit malignant characteristics. All cases were positive for ER and PR, and negative for CD34. In addition, RB1, PTEN, ATRX, and FH were positive in all cases (wild type), while p16 showed a focally positive pattern. P53 positive index was less than 5% (wild type), and Ki-67 positive index was less than 1%. Sanger sequencing was done in six BML samples; one sample harbored a nonsense mutation c. 142_144delinsTAA (p.Glu48Ter), and another exhibited a synonymy mutation (c.192C>T, p.Phe64=)and one missense mutation c.196C>T (p.Pro66Ser).Conclusions:The present study suggests that BML is a unique leiomyoma entity that is pathologically and genetically different from leiomyosarcomas and conventional uterine leiomyomas. Evaluating the genetic phenotype of BML, especially the expression of leiomyosarcoma-related driver genes protein and MED12 gene status, may be helpful in understanding the pathogenesis of BML and in its differentiation from leiomyosarcoma.

Objective:To evaluate the efficacy of endoscopic stenting drainage for patients with malignant hilar biliary obstruction caused by unresectable hepatocellular carcinoma.Methods:Data of 106 patients with malignant hilar obstruction caused by unresectable hepatocellular carcinoma who received endoscopic stenting drainage in the Third Affiliated Hospital of Naval Medical University from January 2012 to January 2019 were retrospectively analyzed. According to the different stent types, they were divided into the metal stent group (30 cases) and the plastic stent group (76 cases). The observation indexes included clinical success rate, complication incidence, stent patency and overall survival time. The independent predictors for stent patency and overall survival of patients were analyzed by multivariate Cox regression model.Results:The overall clinical success rate was 67.9% (72/106) and the incidence of postoperative cholangitis was 29.2% (31/106). The clinical success rates were 93.3% (28/30) and 57.9% (44/76) ( χ2=12.40, P<0.001), and the incidences of postoperative cholangitis were 13.3% (4/30) and 35.5% (27/76) ( χ2=5.12, P=0.024) in the metal stent group and the plastic stent group, respectively. The median stent patency was 5.2 (95% CI:3.7-6.0) months, and the overall survival time was 3.0 (95% CI:2.5-3.7) months. Multivariate Cox regression analysis showed that hepatic drainage volume <30% was an independent predictor for stent patency ( HR=2.12, 95% CI:1.01-4.46, P=0.048). Bismuth type Ⅳ ( HR=2.06, 95% CI:1.12-3.77, P=0.020), Child-Pugh class C ( HR=4.09, 95% CI: 2.00-8.39, P<0.001) and plastic stent ( HR=1.87, 95% CI:1.21-2.90, P=0.005) were independent predictors for overall survival time. Conclusion:Hepatocellular carcinoma involving the hilar bile duct has a poor prognosis. Compared with plastic stents, metal stents show advantages in clinical success rate and incidence of postoperative cholangitis. Hepatic drainage volume <30% is an independent predictor for stent patency, and Bismuth type Ⅳ, Child-Pugh class C and plastic stent are independent predictors for overall survival time.

Objective:To explore the efficacy of the combination of radiofrequency ablation(RFA) and endoscopic metal stent in the treatment of patients with unresectable cholangiocarcinoma.Methods:From January 3, 2012 to June 30, 2019, at the Department of Endoscopic of the Third Affiliated Hospital of Naval Medical University, the clinical data of 44 patients with unresectable cholangiocarcinoma who were treated by the combination of RFA and endoscopic metal stent were retrospectively collected, which included age, gender, location of cholangiocarcinoma(hilar cholangiocarcinoma and distal cholangiocarcinoma), etc. Postoperative evaluation was conducted based on the follow-up, including clinical success rate, postoperative complication rate, time of stent patency and overall survival time (OS). The Kaplan-Meier method and log-rank test were used to analyze the difference of OS between patients with hilar cholangiocarcinoma and distal cholangiocarcinoma. Mann-Whitney U test was used for statistical analysis. Results:The age of the 44 patients with cholangiocarcinoma was (70.3±11.6) years old, with 20 males (45.5%). There were 22 patients (50.0%) with hilar cholangiocarcinoma and 22 patients (50.0%) with distal cholangiocarcinoma. The clinical success rate of 44 patients was 93.2%(41/44). A total of 5 patients(11.4%) had postoperative complications, which were all improved by appropriate treatment. The median time of follow-up of the 44 patient was 9.2 months(ranged from 3.1 to 57.6 months), the median time of stent patency was 7.0 months (ranged from 5.8 to 8.2 months). Thirty-two patients (72.7%) died during the follow-up, and the median OS was 10.9 months(ranged from 9.0 to 12.8 months). The median OS of patients with hilar cholangiocarcinoma was 7.8 months(ranged from 4.6 to 11.0 months) and that of patients with distal cholangiocarcinoma was 12.5 months(ranged from 5.7 to 19.4 months), and there was no statistically significant difference( P>0.05). Conclusion:RFA combined with endoscopic metal stent is safe and effective in the treatment of patients with unresectable cholangiocarcinoma.

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.