Expression Patterns and A Prognostic Model of M⁶A-Associated Regulators in Prostate Adenocarcinoma

Abstract

Aim: To study the expression patterns and prognostic value of the m⁶A-associated regulators in prostate adenocarcinoma (PRAD). Materials & methods: The mRNA expression and clinical data were downloaded from ‘The Cancer Genome Atlas database’. The m⁶A-associated variants were downloaded from m⁶AVar database, and combined with 14 common m⁶A regulators for subsequent analysis. One-way analysis of variance, univariate Cox regression analysis and least absolute shrinkage and selection operator algorithm were successively applied to obtain the ultimate regulators and prognostic model. Finally, consensus clustering, protein–protein interaction (PPI) and enrichment analysis were performed. Result: Nine regulators were obtained. PRAD patients could be classified into two risk groups and subclasses with significant survival differences by the prognostic model and consensus clustering, respectively. Conclusion: All these nine regulators were related to prognosis in PRAD, and could be used as clinical biomarkers.

Keywords:

• expression pattern
• LASSO
• m⁶A
• m⁶Avar
• PRAD
• prognosis model
• regulator
• variant

Author contributions

All authors contributed to study design and data acquisition, analysis or interpretation and drafting of this manuscript. All the authors had full access to all the data in the study and take responsibility for the integrity of the data and accuracy of data analysis.

Acknowledgements

The authors thanked the Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology and Department of Urology, First Affiliated Hospital, School of Medicine, Shihezi University.

Financial & competing interests disclosure

This work was supported by the Key scientific and technological projects of Xinjiang production and Construction Corps (2018AB023). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations.

Data sharing statement

The data used to support the findings of this study are from the public database of The Cancer Genome Atlas (TCGA, cancergenome.nih.gov), The Genotype-Tissue Expression (GTEx, www.gtexportal.org), m6AVar (m6avar.renlab.org) and Human Protein Atlas (HPA, www.proteinatlas.org).

Additional information

Funding

This work was supported by the Key scientific and technological projects of Xinjiang production and Construction Corps (2018AB023). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.