Dataset on the effects of CYB5D2 on the distribution of HeLa cervical cancer cell cycle

Xie, Yanyun; Shen, Yen Ting; Kapoor, Anil; Ojo, Diane; Wei, Fengxiang; Melo, Jason De; Lin, Xiaozeng; Wong, Nicholas; Yan, Judy; Tao, Ling; Major, Pierre; Da-mu, Tang

doi:10.1016/j.dib.2016.01.036

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…CYB5D2 is a member of the progesterone membrane receptor-associated family and relies on the binding of heme to its cytochrome b5-like heme/steroid domain to exert biological activity ( 19 ). It is well known that CYB5D2 expression is downregulated in diverse cancers and act as tumor suppressors ( 8 , 20 ). In the latest research, it has been reported that CYB5D2 is associated with tumor suppression function in breast cancer.…”

Section: Discussionmentioning

confidence: 99%

Expression of CYB5D2 expression is associated with epithelial-mesenchymal transition and survival rates in patients with cervical cancer

Li¹,

Qiu²,

Chen³

et al. 2020

Transl Cancer Res TCR

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Background: CYB5D2 is a member of the membrane-associated progesterone receptors (MAPRs) family and plays essential roles in regulating nerve development. CYB5D2 is associated with tumor suppression in breast cancer. Despite the potential implication of CYB5D2 in cancer progression, its level and clinical significance in cervical cancer tissues has not been investigated yet. Via this study, we aimed to investigate the possible role played by CYB5D2 in epithelial-mesenchymal transition (EMT) in cervical cancer and correlate its level with clinical outcomes. Methods: The expressions of CYB5D2 and the EMT marker E-cadherin in different groups of cervical samples were compared using immunofluorescence. Furthermore, co-localization of CYB5D2 and E-cadherin was analyzed in different cervical tissue samples via confocal laser scanning microscopy. The relationship between CYB5D2/E-cadherin and the progression and clinicopathological features of cervical cancer were analyzed, and the prognostic value of CYB5D2 mRNA expression was evaluated in various tumors using the Kaplan-Meier plotter database. Results: CYB5D2 and E-cadherin were downregulated in cervical cancer (P<0.05). Co-localization of CYB5D2 and E-cadherin in cell cytoplasm in cervical cancer was apparent. The clinical and pathological information of patients with cervical cancer were analyzed, which revealed a statistically significant relationship between low CYB5D2 expression and the tumor FIGO stage (P<0.05). CYB5D2 expression was not correlated with tumors in terms of depth of myometrial invasion, patient age, histological type, and tumor grade (P>0.05). Higher expression levels of CYB5D2 mRNA were predicted to be associated with a better relapse-free survival (RFS) in patients with cervical cancer. E-cadherin expression was associated with invasive tumors, tumor grade, and FIGO stage (P<0.05) but not with patient age and histological type (P>0.05). There was a positive correlation between CYB5D2 and E-cadherin expression in cervical cancer (P<0.01).Conclusions: These results suggest that CYB5D2 acts as a tumor suppressor in cervical cancer, inhibiting EMT by hindering E-cadherin expression.

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Section: Discussionmentioning

confidence: 99%

Expression of CYB5D2 expression is associated with epithelial-mesenchymal transition and survival rates in patients with cervical cancer

Li¹,

Qiu²,

Chen³

et al. 2020

Transl Cancer Res TCR

Self Cite

View full text Add to dashboard Cite

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Many or too many progesterone membrane receptors? Clinical implications

Wendler¹,

Wehling²

2022

Trends in Endocrinology & Metabolism

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Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

2021

BMC Cancer

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Background This study aimed to explore and identify key genes and signaling pathways that contribute to the progression of cervical cancer to improve prognosis. Methods Three gene expression profiles (GSE63514, GSE64217 and GSE138080) were screened and downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) were screened using the GEO2R and Venn diagram tools. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Gene set enrichment analysis (GSEA) was performed to analyze the three gene expression profiles. Moreover, a protein–protein interaction (PPI) network of the DEGs was constructed, and functional enrichment analysis was performed. On this basis, hub genes from critical PPI subnetworks were explored with Cytoscape software. The expression of these genes in tumors was verified, and survival analysis of potential prognostic genes from critical subnetworks was conducted. Functional annotation, multiple gene comparison and dimensionality reduction in candidate genes indicated the clinical significance of potential targets. Results A total of 476 DEGs were screened: 253 upregulated genes and 223 downregulated genes. DEGs were enriched in 22 biological processes, 16 cellular components and 9 molecular functions in precancerous lesions and cervical cancer. DEGs were mainly enriched in 10 KEGG pathways. Through intersection analysis and data mining, 3 key KEGG pathways and related core genes were revealed by GSEA. Moreover, a PPI network of 476 DEGs was constructed, hub genes from 12 critical subnetworks were explored, and a total of 14 potential molecular targets were obtained. Conclusions These findings promote the understanding of the molecular mechanism of and clinically related molecular targets for cervical cancer.

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Dataset on the effects of CYB5D2 on the distribution of HeLa cervical cancer cell cycle

Cited by 5 publications

References 4 publications

Expression of CYB5D2 expression is associated with epithelial-mesenchymal transition and survival rates in patients with cervical cancer

Expression of CYB5D2 expression is associated with epithelial-mesenchymal transition and survival rates in patients with cervical cancer

Many or too many progesterone membrane receptors? Clinical implications

Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

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