Expression and prognosis of CDC45 in cervical cancer based on the GEO database
Cervical cancer is one of the most common malignant tumors in women, and its morbidity and mortality are increasing year by year worldwide. Therefore, an urgent and challenging task is to identify potential biomarkers for cervical cancer. This study aims to identify the hub genes based on the GEO da...
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PeerJ Inc.
2021-09-01
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| author | Zikang He Xiaojin Wang Zhiming Yang Ying Jiang Luhui Li Xingyun Wang Zheyao Song Xiuli Wang Jiahui Wan Shijun Jiang Naiwen Zhang Rongjun Cui |
| author_facet | Zikang He Xiaojin Wang Zhiming Yang Ying Jiang Luhui Li Xingyun Wang Zheyao Song Xiuli Wang Jiahui Wan Shijun Jiang Naiwen Zhang Rongjun Cui |
| author_sort | Zikang He |
| collection | DOAJ |
| description | Cervical cancer is one of the most common malignant tumors in women, and its morbidity and mortality are increasing year by year worldwide. Therefore, an urgent and challenging task is to identify potential biomarkers for cervical cancer. This study aims to identify the hub genes based on the GEO database and then validate their prognostic values in cervical cancer by multiple databases. By analysis, we obtained 83 co-expressed differential genes from the GEO database (GSE63514, GSE67522 and GSE39001). GO and KEGG enrichment analysis showed that these 83 co-expressed it mainly involved differential genes in DNA replication, cell division, cell cycle, etc.. The PPI network was constructed and top 10 genes with protein-protein interaction were selected. Then, we validated ten genes using some databases such as TCGA, GTEx and oncomine. Survival analysis demonstrated significant differences in CDC45, RFC4, TOP2A. Differential expression analysis showed that these genes were highly expressed in cervical cancer tissues. Furthermore, univariate and multivariate cox regression analysis indicated that CDC45 and clinical stage IV were independent prognostic factors for cervical cancer. In addition, the HPA database validated the protein expression level of CDC45 in cervical cancer. Further studies investigated the relationship between CDC45 and tumor-infiltrating immune cells via CIBERSORT. Finally, gene set enrichment analysis (GSEA) showed CDC45 related genes were mainly enriched in cell cycle, chromosome, catalytic activity acting on DNA, etc. These results suggested CDC45 may be a potential biomarker associated with the prognosis of cervical cancer. |
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| last_indexed | 2024-03-09T06:33:29Z |
| publishDate | 2021-09-01 |
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| spelling | doaj.art-e9e9cff6a6d04c33ac59810ef2e156722023-12-03T11:02:08ZengPeerJ Inc.PeerJ2167-83592021-09-019e1211410.7717/peerj.12114Expression and prognosis of CDC45 in cervical cancer based on the GEO databaseZikang He0Xiaojin Wang1Zhiming Yang2Ying Jiang3Luhui Li4Xingyun Wang5Zheyao Song6Xiuli Wang7Jiahui Wan8Shijun Jiang9Naiwen Zhang10Rongjun Cui11Department of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Clinical Laboratory, Handan Central Hospital, Handan, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Clinical Laboratory, Harbin Public Security Hospital, Harbin, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, ChinaCervical cancer is one of the most common malignant tumors in women, and its morbidity and mortality are increasing year by year worldwide. Therefore, an urgent and challenging task is to identify potential biomarkers for cervical cancer. This study aims to identify the hub genes based on the GEO database and then validate their prognostic values in cervical cancer by multiple databases. By analysis, we obtained 83 co-expressed differential genes from the GEO database (GSE63514, GSE67522 and GSE39001). GO and KEGG enrichment analysis showed that these 83 co-expressed it mainly involved differential genes in DNA replication, cell division, cell cycle, etc.. The PPI network was constructed and top 10 genes with protein-protein interaction were selected. Then, we validated ten genes using some databases such as TCGA, GTEx and oncomine. Survival analysis demonstrated significant differences in CDC45, RFC4, TOP2A. Differential expression analysis showed that these genes were highly expressed in cervical cancer tissues. Furthermore, univariate and multivariate cox regression analysis indicated that CDC45 and clinical stage IV were independent prognostic factors for cervical cancer. In addition, the HPA database validated the protein expression level of CDC45 in cervical cancer. Further studies investigated the relationship between CDC45 and tumor-infiltrating immune cells via CIBERSORT. Finally, gene set enrichment analysis (GSEA) showed CDC45 related genes were mainly enriched in cell cycle, chromosome, catalytic activity acting on DNA, etc. These results suggested CDC45 may be a potential biomarker associated with the prognosis of cervical cancer.https://peerj.com/articles/12114.pdfCervical cancer (CC)Cell division cycle 45 (CDC45)DNA replicationCell cycleBioinformatics |
| spellingShingle | Zikang He Xiaojin Wang Zhiming Yang Ying Jiang Luhui Li Xingyun Wang Zheyao Song Xiuli Wang Jiahui Wan Shijun Jiang Naiwen Zhang Rongjun Cui Expression and prognosis of CDC45 in cervical cancer based on the GEO database PeerJ Cervical cancer (CC) Cell division cycle 45 (CDC45) DNA replication Cell cycle Bioinformatics |
| title | Expression and prognosis of CDC45 in cervical cancer based on the GEO database |
| title_full | Expression and prognosis of CDC45 in cervical cancer based on the GEO database |
| title_fullStr | Expression and prognosis of CDC45 in cervical cancer based on the GEO database |
| title_full_unstemmed | Expression and prognosis of CDC45 in cervical cancer based on the GEO database |
| title_short | Expression and prognosis of CDC45 in cervical cancer based on the GEO database |
| title_sort | expression and prognosis of cdc45 in cervical cancer based on the geo database |
| topic | Cervical cancer (CC) Cell division cycle 45 (CDC45) DNA replication Cell cycle Bioinformatics |
| url | https://peerj.com/articles/12114.pdf |
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