硒蛋白基因在卵巢癌中的表达及预后的综合分析。

IF 1 Q4 OBSTETRICS & GYNECOLOGY
Yingying Hou, Hongye Shen, Honghua Dong
{"title":"硒蛋白基因在卵巢癌中的表达及预后的综合分析。","authors":"Yingying Hou, Hongye Shen, Honghua Dong","doi":"10.4274/tjod.galenos.2024.66179","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To comprehensively analyze the expression and prognostic value of selenoprotein in ovarian cancer (OV).</p><p><strong>Materials and methods: </strong>GEPIA and cBioPortal were used to analyze selenoprotein expression and mutations and copy number variations. Kaplan-Meier plotter and the tumor immune estimation resource were used to evaluate the impact of these genes on clinical prognosis and their correlation with tumor immune infiltration.</p><p><strong>Results: </strong>Compared with normal tissues, the expression of iodothyronine deiodinase 3 (DIO3), glutathione peroxidase 4, SECISBP2, SELM, and SELP was decreased in the four gynecological malignancies. In OV, selenoprotein had the highest number of mutations (309) and mutation frequency (52.91%), whereas the lowest was observed in endometrial cancer (29.72%). DIO3, selenoprotein O (SELO), and selenoprotein T (SELT) are significantly related to the prognosis of OV. Immune infiltration analysis showed that DIO3 was associated with tumor-associated macrophages, SELO with CD4+ T-cells and monocytes, and SELT with T-cells. Enrichment analysis revealed that DIO3 is mainly involved in inflammatory immune responses and the Ras signaling pathway, SELO is primarily related to innate immune responses, and SELT is closely associated with mitochondrial oxidative phosphorylation.</p><p><strong>Conclusion: </strong>This study explored the expression characteristics of 25 selenoprotein in patients with gynecological malignancies and found that DIO3, SELO, and SELT were significantly associated with the prognosis and clinical features of OV, which are potential therapeutic targets.</p>","PeriodicalId":45340,"journal":{"name":"Turkish Journal of Obstetrics and Gynecology","volume":"21 4","pages":"242-265"},"PeriodicalIF":1.0000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635729/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comprehensive analysis of selenoprotein gene expression and prognostic value in ovarian cancer.\",\"authors\":\"Yingying Hou, Hongye Shen, Honghua Dong\",\"doi\":\"10.4274/tjod.galenos.2024.66179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To comprehensively analyze the expression and prognostic value of selenoprotein in ovarian cancer (OV).</p><p><strong>Materials and methods: </strong>GEPIA and cBioPortal were used to analyze selenoprotein expression and mutations and copy number variations. Kaplan-Meier plotter and the tumor immune estimation resource were used to evaluate the impact of these genes on clinical prognosis and their correlation with tumor immune infiltration.</p><p><strong>Results: </strong>Compared with normal tissues, the expression of iodothyronine deiodinase 3 (DIO3), glutathione peroxidase 4, SECISBP2, SELM, and SELP was decreased in the four gynecological malignancies. In OV, selenoprotein had the highest number of mutations (309) and mutation frequency (52.91%), whereas the lowest was observed in endometrial cancer (29.72%). DIO3, selenoprotein O (SELO), and selenoprotein T (SELT) are significantly related to the prognosis of OV. Immune infiltration analysis showed that DIO3 was associated with tumor-associated macrophages, SELO with CD4+ T-cells and monocytes, and SELT with T-cells. Enrichment analysis revealed that DIO3 is mainly involved in inflammatory immune responses and the Ras signaling pathway, SELO is primarily related to innate immune responses, and SELT is closely associated with mitochondrial oxidative phosphorylation.</p><p><strong>Conclusion: </strong>This study explored the expression characteristics of 25 selenoprotein in patients with gynecological malignancies and found that DIO3, SELO, and SELT were significantly associated with the prognosis and clinical features of OV, which are potential therapeutic targets.</p>\",\"PeriodicalId\":45340,\"journal\":{\"name\":\"Turkish Journal of Obstetrics and Gynecology\",\"volume\":\"21 4\",\"pages\":\"242-265\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635729/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Turkish Journal of Obstetrics and Gynecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4274/tjod.galenos.2024.66179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Obstetrics and Gynecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4274/tjod.galenos.2024.66179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:综合分析硒蛋白在卵巢癌(OV)中的表达及预后价值。材料与方法:采用GEPIA和cbiopportal分析硒蛋白的表达、突变和拷贝数变化。应用Kaplan-Meier绘图仪和肿瘤免疫估计资源评估这些基因对临床预后的影响及其与肿瘤免疫浸润的相关性。结果:与正常组织比较,4种妇科恶性肿瘤组织中碘甲状腺原氨酸脱碘酶3 (DIO3)、谷胱甘肽过氧化物酶4、SECISBP2、SELM、SELP的表达均降低。在OV中,硒蛋白的突变数最多(309个),突变频率最高(52.91%),而在子宫内膜癌中最低(29.72%)。DIO3、硒蛋白O (SELO)、硒蛋白T (SELT)与OV的预后有显著关系。免疫浸润分析显示,DIO3与肿瘤相关巨噬细胞相关,SELO与CD4+ t细胞和单核细胞相关,SELT与t细胞相关。富集分析显示,DIO3主要参与炎症免疫反应和Ras信号通路,SELO主要参与先天免疫反应,SELT与线粒体氧化磷酸化密切相关。结论:本研究探讨了25种硒蛋白在妇科恶性肿瘤患者中的表达特征,发现DIO3、SELO、SELT与OV的预后和临床特征有显著相关性,是潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive analysis of selenoprotein gene expression and prognostic value in ovarian cancer.

Objective: To comprehensively analyze the expression and prognostic value of selenoprotein in ovarian cancer (OV).

Materials and methods: GEPIA and cBioPortal were used to analyze selenoprotein expression and mutations and copy number variations. Kaplan-Meier plotter and the tumor immune estimation resource were used to evaluate the impact of these genes on clinical prognosis and their correlation with tumor immune infiltration.

Results: Compared with normal tissues, the expression of iodothyronine deiodinase 3 (DIO3), glutathione peroxidase 4, SECISBP2, SELM, and SELP was decreased in the four gynecological malignancies. In OV, selenoprotein had the highest number of mutations (309) and mutation frequency (52.91%), whereas the lowest was observed in endometrial cancer (29.72%). DIO3, selenoprotein O (SELO), and selenoprotein T (SELT) are significantly related to the prognosis of OV. Immune infiltration analysis showed that DIO3 was associated with tumor-associated macrophages, SELO with CD4+ T-cells and monocytes, and SELT with T-cells. Enrichment analysis revealed that DIO3 is mainly involved in inflammatory immune responses and the Ras signaling pathway, SELO is primarily related to innate immune responses, and SELT is closely associated with mitochondrial oxidative phosphorylation.

Conclusion: This study explored the expression characteristics of 25 selenoprotein in patients with gynecological malignancies and found that DIO3, SELO, and SELT were significantly associated with the prognosis and clinical features of OV, which are potential therapeutic targets.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
1
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信