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Original Articles

Clinical implication and immunological characterisation of the ARF-GEF family member CYTH4 in ovarian cancer

, , & ORCID Icon
Pages 434-442 | Received 03 Jun 2020, Accepted 10 Oct 2020, Published online: 20 Oct 2020
 

Abstract

Background

The GTP exchange factors on ADP-ribosylation factor (ARF) mediate the GDP/GTP exchange on ARF, serve as regulators in protein trafficking and membrane dynamics, and play critical roles in various cell processes. However, the relationship between the expression of ARF-GEF family genes and clinical implications in ovarian cancer remains unclear.

Methods

We performed a systematic investigation on the role of ARF-GEF family genes in ovarian cancer by using Gene Expression Omnibus (GEO), Kaplan-Meier plotter, Gene set enrichment analysis (GSEA), TIMER and TISIDB database.

Results

We found that the ARF-GEF family gene CYTH4 exhibited significant expressional upregulation in ovarian cancer compared to normal ovary tissues. The expression of CYTH4 was also higher in metastases from the omentum than in matched primary ovarian tumours. Kaplan-Meier plotter showed that high expression of CYTH4 predicted worse overall survival, progression free survival and post-progression survival of ovarian cancer patients. Notably, from our correlation analysis, CYTH4 expression showed closely association with tumour-infiltrating immune cells. Intriguingly, the expression of CYTH4 was also significantly correlated with a variety of immunomodulators, chemokines and major histocompatibility complex molecules.

Conclusion

Overall, our findings provide a valuable source of data about the clinical significance of CYTH4 in ovarian cancer.

Author contributions

JWZ and SFW contributed to the study conception and design. QYZ and QYW collected and analysed the data. The first draft of the manuscript was written by QYZ and JWZ. All the authors read and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All datasets used and/or analysed during the current study are available from the public database.

Additional information

Funding

This study was supported by Grants from the National Natural Science Foundation of China [81802589, 81502230 and 81971340].

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