A Prognostic Model Based on Metabolism-Related Genes for Patients with Ovarian Cancer.

Metabolism-associated genes (MAGs) are important regulators of tumor progression and can affect a variety of physiological processes. In this study, we focused on the relationship between MAGs and Ovarian cancer (OC) prognosis. METHOD: Metabolism-related genes were extracted from the Cancer Genome Atlas (TCGA) database. Through univariate COX and lasso regression models, a dynamic risk model based on MAGs was established. Compared with other clinical factors, demonstrated the ability of the model to predict the prognosis of patients with OC. The clinical samples were used to verify the expression of these MAGs. RESULTS: A metabolism-associated gene signature was constructed by LASSO Cox regression analysis in OC, which was composed of 3-MAGs (PTGIS, AOC3, and IDO1). The signature was used to classify the OC patients into high-risk and low-risk groups. The overall survival of the low-risk group was significantly better than that of the high-risk group. The analysis of the therapeutic effect of bevacizumab showed that bevacizumab was not conducive to improving the prognosis of the low-risk group. CONCLUSIONS: We constructed a prognostic model of MAGs in OC, which can be used to predict the prognosis of OC patients and may have a good guiding significance in the individualized treatment of patients.

Preoperative screening of donors and recipients for living uterine transplantation: an observational study / 中华器官移植杂志

Objective:To summarize our institutional experiences of screening and selecting potential recipients and living donors for uterine transplantation at a single center.Methods:A total of 102 patients were diagnosed as absolute uterine factor infertility (AUFI). Depending upon the outcomes of previous trials, 8 modules were selected for surveying. A registration form was distributed for subjects at outpatient clinics or through telephone consultations for clinical trials of uterus transplantation between November 2018 and October 2019. The relevant information was collected and entered into a dedicated system for data processing.Results:The number of eligible subjects was 84 and the number of recipients with potential donors 37. The average age of potential recipients was 26.0(18-47) years. Among potential recipients, 76(90.5%) had congenital AUFI and 8(9.5%) acquired AUFI. For potential donors with available organs, the average age was 47.5(32-64) years and the proportion of menopausal or peri-menopausal status 56.8%.Conclusions:Currently large demands and sufficient supports for conducting clinical trials of uterine transplantation are available in China. However, inherent deficiencies persist in organ donor population reserves and preoperative screening protocols, such as donor age and subjective/objective factors of participants. During clinical trials of uterine transplantation, preoperative screening should be performed for expanding the screening scope, extending the screening time and popularizing the screening knowledge to boost the success rate.