Objective:To explore the effect of SQLE on the biological characteristics of pan-cancer,using bioinformatics methods to predict and analyze the correlation between SQLE and the clinical prognosis and immunity of pan-cancer.Methods:The ex-pression level of SQLE in tumor and normal tissues and its correlation with different clinical stages of pan-cancer were analyzed,and the relationship between SQLE expression and overall survival and tumor microenvironment were evaluated.Gene enrichment analysis was conducted to study the biological functions and signaling pathways related to SQLE gene,then,calculate the correlation between SQLE gene and tumor mutation load and microsatellite instability,and analyze the correlation between SQLE gene and immunomodula-tory genes.Results:SQLE gene was highly expressed in variety of tumors,and differentially expressed in different tumor stages.High expression of SQLE was a risk factor in variety of tumors.Patients with high expression of SQLE hade a worse prognosis.SQLE was cor-related with TMB and MSI,and involved in tumor development through different pathways.Conclusion:SQLE,as a valuable prognos-tic biomarker and new therapeutic target for variety of cancers,has certain application value in basic research and clinical treatment of various cancers.

Objective:To study the risk factors of venous thromboembolism(VTE)and the predictive value of the improved VTE score model to identify the risk of VTE in gynecological surgery patients.Methods:From Janu-ary 1,2020 to December 31,2022,41 patients with VTE after gynecological surgery were selected as the VTE group,and a total of 164 patients with adjacent gynecological surgeries during the same period were selected as the non-VTE group with a ratio of 1 :4.Univariate and multivariate Logistic regression analysis were used to ana-lyze the risk factors of VTE after gynecological surgery,and a modified VTE risk factor rapid assessment model(referred to as the improved VTE score model)was constructed.The receiver operating characteristic(ROC)curve was used to study the predictive value for VTE for in gynecological surgery,and compared with the Caprini score model(Caprini table for short).Results:①Multivatiate Logistic regression analysis showed that there were independent risk factors for postoperative VTE in gynecology surgery(OR＞1,P＜0.05),including age≥60 years,BMI≥28 kg/m2,malignant tumors,surgery time＞3 hours,history of thrombosis,and the increased D-di-mer difference before and after surgery.②The Area under Curve(AUC)of ROC was 0.963 in the improved VTE score model with a Youden index 81.10％,sensitivity 87.80％and specificity 93.29％.The AUC of the Caprini score model was 0.888 with Youden index 63.41％,sensitivity 73.17％and specificity 90.24％.The improved VTE score model the Caprini score model identified 92.68％and 85.37％of VTE patients as high-risk or ex-tremely high-risk,respectively,but the difference was not statistically significant(P＜0.05).Conclusions:More attention should be paid to the six independent risk factors for postoperative VTE in gynecology surgery.The two score models showed a similar identified level.However,the improved VTE score model is more simple and easier to operate,has better practicality,and has certain clinical promotion value.