این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Public Health، جلد ۵۳، شماره ۹، صفحات ۱۹۳۵-۱۹۵۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Phosphorus Metabolism-Related Genes Serve as Novel Biomarkers for Predicting Prognosis in Bladder Cancer: A Bioinformatics Analysis
چکیده انگلیسی مقاله Background: Phosphorus metabolism might be associated with tumor initiation and progression. We aimed to screen out the phosphorus metabolism genes related to bladder cancer and construct a clinical prognosis model. Methods: The dataset used for the analysis was obtained from TCGA database. GO and KEGG enrichment analyses were subsequently applied to differentially expressed genes. Consensus clustering was utilized, and different clusters of the tumor immune microenvironment and other features were compared. The phosphorus metabolism-related genes involved in prognosis were screened out by univariate Cox regression, LASSO regression and multivariate Cox regression analysis, and a nomogram was constructed. The performance of the nomogram was validated using TCGA dataset and the GEO dataset, respectively. Results: Overall, 405 phosphorus metabolism-related differentially expressed genes from TCGA database were identified, which were associated with phosphorylation, cell proliferation, leukocyte activation, and signaling pathways. Two clusters were obtained by consistent clustering. After tumor immune microenvironment analysis, significant differences in immune cell infiltration between cluster 1 and cluster 2 were found. Four phosphorus metabolism-related genes (LIME1, LRP8, SPDYA, and MST1R) were associated with the prognosis of bladder cancer (BLCA) patients. We built a prognostic model and visualized the model as a nomogram. Calibration curves demonstrated the performance of this nomogram, in agreement with that shown by the ROC curves. Conclusion: We successfully identified four phosphorus metabolism-related genes associated with prognosis, providing potential targets for biomarkers and therapeutics. A nomogram based on these genes was developed. Nevertheless, this study is based on bioinformatics, and experimental validation remains essential.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | Yang He
1. Department of Urology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China 2. Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Abai Xu
Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Li Xiao
Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking :union: Medical College, Shenzhen, China


| Ying Yang
Department of Hematology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China


| Boping Li
Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Zhe Liu
Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Peng Rao
Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Yicheng Wang
Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China


| Li Ruan
Department of Urology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China


| Tao Zhang
Department of Urology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
نشانی اینترنتی https://ijph.tums.ac.ir/index.php/ijph/article/view/32707
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات