Objective To investigate the effect of obesity on the early complications after esophageal cancer operation.Methods Clinical data of 327 patients who had esophageal cancer operation in our hospital from August 2012 to September 2015 were retrospectively analyzed.The patients were divided into 4 groups:lean group(n =75), normal group(n =120),overweight group(n =103)and obesity group(n =29)by body mass index(BMI).The impact of obesity on early complications of esophageal carcinoma after surgery was analyzed.Results The operation time of the lean group,normal group,overweight group and obesity group were (257.8 ±52.6 )min,(289.3 ± 48.7)min,(321.5 ±55.9)min,(367.9 ±50.2)min respectively.The operation time was increased with the increase of BMI (F =13.397,P =0.000).The incidence rates of incision infection,empyema,hoarseness,diaphragmatic hernia,postoperative bleeding,chylous fistula,pulmonary complication were 5.3%,1.3%,1.3%,1.3%,2.7%, 2.7%,16.0% in the lean group,5.0%,1.6%,1.6%,1.3%,1.6%,1.6%,17.5% in the normal group,5.8%, 1.9%,0.9%,1.9%,1.9%,1.9%,1.9% in the overweight group,10.3%,3.4%,0.0%,3.4%,3.4%,0.0%, 13.8% in the obesity group.No significant differences were found about the hospital days,wound infection,empyema, hoarseness,diaphragmatic hernia,operation hemorrhage,chylous fistula,pulmonary complications among the 4 groups (all P >0.05 ).The incidence rates of cardiovascular complications and anastomotic leakage after operation were 0.0%,4.0% in the lean group,1.9%,5.0% in the normal group,6.8%,9.7% in the overweight group,13.8%, 17.2% in the obesity group.The incidence of cardiovascular complications,postoperative anastomotic leakage increased with the increase of BMI.The differences of the four groups were statistically significant(F =1.675,1.054, all P <0.05).Conclusion Obesity can increase the incidence of early postoperative complications in patients with esophageal cancer.But obesity is not a contraindication of surgery for esophageal cancer,but obese patients should be more carefully treated in the perioperative period.

Objective To study the clinical,pathological and genetic features of myofibrillar myopathy caused by BAG3 gene mutation.Methods The clinical features and pathological findings of a patient with myofibrillar myopathy were analyzed.Genomic DNA of the patient was extracted from peripheral blood and the next generation sequencing was performed to explore the mutation of genes about myopathies.Results The patient presented with nine-year-old onset myopathy characterized by progressive difficulty for squatting,rigid spine and muscle atrophy in the limbs symmetrically.Peripheral neurogenic damages were found on electromyography.On muscle biopsy,myogenic and neurogenic damages with rimmed vacuoles appeared,and the deposited materials were positive for sarcoglycan,dystrophin-R and dystrophin-C.There was a reported heterozygous mutation in the exons of the BAG3 gene (c.626C ＞ T).Conclusion There is no specificity of clinical manifestation in myofibrillar myopathy,and the diagnosis of this disease mainly depends on muscle biopsy and genetic screening.

Objective: To investigate the differences and clinical significance of circRNA expression profiles in oral leukoplakia (OLK) tissues and normal oral mucosal (NOM) tissues. Methods: High-throughput sequencing was used to detect differentially expressed circRNAs in 6 pairs of OLK and NOM tissues, and qRT-PCR was used to verify the expression of 10 circRNAs screened in 6 pairs of OLK and NOM tissues. The ring formation of circRNA was verified by RNase R digestion and Sanger sequencing, and the target circHLA-C was further verified by qRT-PCR in 20 pairs of OLK and NOM tissues. CircHLA-C was visualized using the UCSC genome browser (genome.ucsc.edu). The function of differentially expressed circRNAs was analyzed by GO and KEGG enrichment analyses. TargetScan and miRanda predicted the downstream miRNAs and mRNAs of the target circRNAs, and a ceRNA network related to the identified circRNAs was constructed in Cytoscape. Results: Sequencing analysis showed that 366 circRNAs were significantly differentially expressed in OLK tissues, including 65 upregulated and 301 downregulated circRNAs. After qRT-PCR verification, 7 of the 10 screened circRNAs were expressed consistent with the sequencing results. The upregulated circHLA-C was confirmed to be a real circRNA with back-splice junction sites by RNase R digestion and Sanger sequencing. Correlation analysis showed a positive correlation between circHLA-C and the degree of OLK dysplasia. ROC curve analysis suggested that circHLA-C had potential value in diagnosing OLK with high accuracy and specificity. Conclusion CircRNA was significantly abnormally expressed in OLK tissues, and the upregulation of circHLA-C may be related to the degree of OLK dysplasia, providing guiding value for the diagnosis of OLK in the future.

Objective: To find any differentially expressed circRNAs in oral leukoplakia (OLK) and oral lichen planus (OLP), to investigate the possible role of circRNAs in the pathogenesis of these two diseases. Methods: This study obtained hospital ethical approval. High-throughput sequencing was used to detect differentially expressed circRNAs in OLK, OLP, oral squamous cell carcinoma and normal oral mucosal tissues. CircRNAs were verified by qRT-PCR, enzyme tolerance assays and Sanger sequencing. GO functional analysis and KEGG pathway analysis were performed to predict the functions of circRNAs in OLP. TargetScan and miRanda were applied to predict targeted miRNAs and mRNAs of circRNAs, and ceRNA networks were mapped. Results: A total of 49 circRNAs were differentially expressed in OLK and OLP together, including 30 upregulated and 19 downregulated circRNAs. The five circRNAs confirmed with RT-qPCR, including circHLA-C, circRNF13, circTTN, circSEPN2 and circALDH3A2, were all abnormally expressed in OLK and OLP, among which circHLA-C was a key circRNA with trans splice sites, which was validated by expanding the sample size. ROC curve analysis showed that the area under the circHLA-C curve for predicting OLK was 0.955, and the area under the circHLA-C curve for predicting OLP was 0.988. GO functional analysis showed enrichment of many biological processes related to the immune process. The KEGG pathway with the highest enrichment score was "Natural killer cell mediated cytotoxicity". HLA-C was significantly enriched in these processes/pathways. CeRNA network analysis showed that circHLA-C interacted with a variety of miRNAs, such as hsa-miR-26a-5p, hsa-miR-129-5p, and hsa-miR-29a-3p. Conclusion Many circRNAs were differentially expressed in both OLK and OLP, circHLA-C being the most elevated. CircHLA-C is valuable for the early diagnosis of OLK and OLP and may serve as a potential biomarker for the diagnosis and prognosis of OLK and OLP.