宫颈癌新标志物MCM2和GINS2的鉴定

IF 0.5 4区 生物学 Q4 ZOOLOGY
L. Chu
{"title":"宫颈癌新标志物MCM2和GINS2的鉴定","authors":"L. Chu","doi":"10.17582/journal.pjz/20211116011144","DOIUrl":null,"url":null,"abstract":"Cervical cancer (CC) is the most common malignant tumor in women, and its prognosis is poor. The key genes and pathways of CC need to be further discovered. GEO2R was used to identify differentially expressed genes (DEG), GO and KEGG enrichment were analyzed by DAVID. Then, the PPI network is constructed with STRINGS. The HUB gene and module of DEGS were obtained by Cytoscape. Finally, GEPIA also analyzed the differential expression and survival of key genes. 234 DEG were extracted from GSE9750. The uterus is the fourth organ highlighted in the concentrated analysis. The functional changes of DEGS are mainly related to cell cycle progression, cell cycle, helicase activity, DNA helicase activity, exosome and p53 signal pathway. In addition, five HUB genes and one key module were identified. Survival analysis showed that MCM2 and GINS2 were significantly correlated with overall survival. Expression analysis showed that MCM2 and GINS2 were highly expressed in cancer tissues, but low in normal tissues, which was consistent with the results of GEO analysis. Correlation analysis showed that there was a significant positive correlation between MCM2 and GINS2. This study suggests that MCM2 and GINS2 may be new biomarkers to predict the prognosis of CC.","PeriodicalId":19975,"journal":{"name":"Pakistan Journal of Zoology","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of Novel Biomarkers MCM2 and GINS2 for Cervical Cancer\",\"authors\":\"L. Chu\",\"doi\":\"10.17582/journal.pjz/20211116011144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cervical cancer (CC) is the most common malignant tumor in women, and its prognosis is poor. The key genes and pathways of CC need to be further discovered. GEO2R was used to identify differentially expressed genes (DEG), GO and KEGG enrichment were analyzed by DAVID. Then, the PPI network is constructed with STRINGS. The HUB gene and module of DEGS were obtained by Cytoscape. Finally, GEPIA also analyzed the differential expression and survival of key genes. 234 DEG were extracted from GSE9750. The uterus is the fourth organ highlighted in the concentrated analysis. The functional changes of DEGS are mainly related to cell cycle progression, cell cycle, helicase activity, DNA helicase activity, exosome and p53 signal pathway. In addition, five HUB genes and one key module were identified. Survival analysis showed that MCM2 and GINS2 were significantly correlated with overall survival. Expression analysis showed that MCM2 and GINS2 were highly expressed in cancer tissues, but low in normal tissues, which was consistent with the results of GEO analysis. Correlation analysis showed that there was a significant positive correlation between MCM2 and GINS2. This study suggests that MCM2 and GINS2 may be new biomarkers to predict the prognosis of CC.\",\"PeriodicalId\":19975,\"journal\":{\"name\":\"Pakistan Journal of Zoology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pakistan Journal of Zoology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.17582/journal.pjz/20211116011144\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ZOOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Journal of Zoology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.17582/journal.pjz/20211116011144","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ZOOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

宫颈癌是女性最常见的恶性肿瘤,其预后较差。CC的关键基因和通路有待进一步发现。用GEO2R鉴定差异表达基因(DEG),用DAVID分析GO和KEGG的富集程度。然后,使用STRINGS构造PPI网络。通过Cytoscape获得了DEGS的HUB基因和模块。最后,GEPIA还分析了关键基因的差异表达和存活情况。从GSE9750中提取234℃。子宫是集中分析的第四个突出的器官。DEGS的功能改变主要与细胞周期进程、细胞周期、解旋酶活性、DNA解旋酶活性、外泌体和p53信号通路有关。此外,还鉴定出5个HUB基因和1个关键模块。生存分析显示MCM2和GINS2与总生存显著相关。表达分析显示MCM2和GINS2在癌组织中高表达,在正常组织中低表达,与GEO分析结果一致。相关分析显示MCM2与GINS2呈显著正相关。本研究提示MCM2和GINS2可能是预测CC预后的新的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Novel Biomarkers MCM2 and GINS2 for Cervical Cancer
Cervical cancer (CC) is the most common malignant tumor in women, and its prognosis is poor. The key genes and pathways of CC need to be further discovered. GEO2R was used to identify differentially expressed genes (DEG), GO and KEGG enrichment were analyzed by DAVID. Then, the PPI network is constructed with STRINGS. The HUB gene and module of DEGS were obtained by Cytoscape. Finally, GEPIA also analyzed the differential expression and survival of key genes. 234 DEG were extracted from GSE9750. The uterus is the fourth organ highlighted in the concentrated analysis. The functional changes of DEGS are mainly related to cell cycle progression, cell cycle, helicase activity, DNA helicase activity, exosome and p53 signal pathway. In addition, five HUB genes and one key module were identified. Survival analysis showed that MCM2 and GINS2 were significantly correlated with overall survival. Expression analysis showed that MCM2 and GINS2 were highly expressed in cancer tissues, but low in normal tissues, which was consistent with the results of GEO analysis. Correlation analysis showed that there was a significant positive correlation between MCM2 and GINS2. This study suggests that MCM2 and GINS2 may be new biomarkers to predict the prognosis of CC.
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
Pakistan Journal of Zoology
Pakistan Journal of Zoology 生物-动物学
CiteScore
1.10
自引率
16.70%
发文量
306
审稿时长
4.5 months
期刊介绍: Pakistan Journal of Zoology (Pakistan J. Zool.) publishes original articles in English on all aspects of animal life. Generally these articles will be in, or related to one of the following subject areas: Physiology, Cell Biology, Molecular Biology, Genetics, Bioinformatics, Toxicology, Forensic Science, Developmental Biology, Entomology, Parasitology, Microbiology, Biotechnology, Pathology, Palaeontology. Taxonomy, Environmental Biology, Wildlife, Fisheries, Vertebrate and Invertebrate Morphology. Additionally, the journal considers research on health and clinical studies. Short communications are regularly considered, however, uninvited review articles, first records/reports of known species, case reports/studies and survey reports are not published in Pakistan Journal of Zoology.
×
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