Screening for ferroptosis genes related to endometrial carcinoma and predicting of targeted drugs based on bioinformatics

IF 4.8 2区 医学 Q1 TOXICOLOGY
Rui Wang, Wei Lang, Qian Xue, Le Zhang, Yunzhu Xujia, Chaofan Wang, Xin Fang, Shidi Gao, Li Guo
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引用次数: 0

Abstract

Endometrial carcinoma is one of most common malignant tumors in women, and ferroptosis is closely related to the development and treatment of endometrial carcinoma. The aim of this study was to screen ferroptosis-related genes associated with endometrial carcinoma and predict targeted drugs through bioinformatics. 761 differentially expressed genes were obtained by the dataset GSE63678 from the GEO database, and most of the genes were enriched in the KEGG_CELL_CYCLE and KEGG_OOCYTE_MEIOSIS signaling pathways. 22 ferroptosis-differentially expressed genes were obtained by intersection with the FerrDb database. These genes were involved in biological processes including macromolecular complex assembly and others, and involved in signal pathways including glutathione metabolism, p53 signaling pathway and others. CDKN2A, IDH1, NRAS, TFRC and GOT1 were obtained as hub genes by PPI network analysis. GEPIA showed that CDKN2A, IDH1, NRAS and TFRC were significantly expressed in endometrial carcinoma. Immunohistochemical results showed that CDKN2A, NRAS and TFRC were significantly expressed in endometrial carcinoma clinical tissue samples. The ROC constructed by TCGA database showed that CDKN2A, NRAS and TFRC had significant value in the diagnosis of endometrial carcinoma, and all had prognostic efficacy. 136,572-09-3 BOSS and others were identified as potential targeted drugs for endometrial carcinoma targeting ferroptosis. Our study has shown that ferroptosis-related genes CDKN2A, NRAS and TFRC are diagnostic markers of endometrial carcinoma, and 136,572-09-3 BOSS, methyprylon BOSS, daunorubicin CTD 00005752, nitroglycerin BOSS and dUTP BOSS, IRON BOSS, Imatinib mesylate BOSS, 2-Butanone BOSS, water BOSS, and L-thyroxine BOSS may be potential therapeutic drugs.

Abstract Image

Abstract Image

基于生物信息学筛选与子宫内膜癌相关的铁蛋白沉积基因并预测靶向药物。
子宫内膜癌是女性最常见的恶性肿瘤之一,而铁蛋白沉积与子宫内膜癌的发生和治疗密切相关。本研究旨在通过生物信息学筛选与子宫内膜癌相关的铁变性相关基因,并预测靶向药物。从GEO数据库的数据集GSE63678中获得了761个差异表达基因,其中大部分基因富集在KEGG_CELL_CYCLE和KEGG_OOCYTE_MEIOSIS信号通路中。通过与 FerrDb 数据库交叉,得到了 22 个铁蛋白沉积差异表达基因。这些基因参与了大分子复合物组装等生物过程,并参与了谷胱甘肽代谢、p53 信号通路等信号通路。通过 PPI 网络分析,CDKN2A、IDH1、NRAS、TFRC 和 GOT1 成为枢纽基因。GEPIA显示,CDKN2A、IDH1、NRAS和TFRC在子宫内膜癌中有显著表达。免疫组化结果显示,CDKN2A、NRAS和TFRC在子宫内膜癌临床组织样本中有明显表达。由TCGA数据库构建的ROC显示,CDKN2A、NRAS和TFRC在子宫内膜癌的诊断中具有重要价值,且均有预后效果。136,572-09-3BOSS和其他药物被确定为子宫内膜癌的潜在靶向药物,其作用靶点为铁蛋白沉积。我们的研究表明,与铁突变相关的基因CDKN2A、NRAS和TFRC是子宫内膜癌的诊断标志物,136,572-09-3 BOSS、甲基丙烯胺BOSS、多诺比星CTD 00005752、硝酸甘油BOSS和dUTP BOSS、IRON BOSS、甲磺酸伊马替尼BOSS、2-丁酮BOSS、水BOSS和L-甲状腺素BOSS可能是潜在的治疗药物。
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来源期刊
Archives of Toxicology
Archives of Toxicology 医学-毒理学
CiteScore
11.60
自引率
4.90%
发文量
218
审稿时长
1.5 months
期刊介绍: Archives of Toxicology provides up-to-date information on the latest advances in toxicology. The journal places particular emphasis on studies relating to defined effects of chemicals and mechanisms of toxicity, including toxic activities at the molecular level, in humans and experimental animals. Coverage includes new insights into analysis and toxicokinetics and into forensic toxicology. Review articles of general interest to toxicologists are an additional important feature of the journal.
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