Dataset Information

A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.

ABSTRACT:

Background

Oral squamous cell carcinoma (OSCC) is the most frequent tumor of the head and neck. The glycolysis-related genes and immune-related genes have been proven prognostic values in various cancers. Our study aimed to test the prognostic value of glycolysis-immune-related genes in OSCC.

Methods

Data of OSCC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment analysis was applied to the glycolysis- and immune-related genes screened by differential expression analysis. Univariate Cox and LASSO Cox analyses were used to filtrate the genes related to the prognosis of OSCC and to construct Risk Score model.

Results

A Risk Score model was constructed by six glycolysis-immune-related genes (including ALDOC, VEGFA, HRG, PADI3, IGSF11 and MIPOL1). High risk OSCC patients (Risk Score >-0.3075) had significantly worse overall survival than that of low risk patients (Risk Score <-0.3075).

Conclusions

The Risk Score model constructed basing on 6 glycolysis-immune-related genes was reliable in stratifying OSCC patients with different prognosis.

SUBMITTER: Liu Y

PROVIDER: S-EPMC9351085 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.

Liu Yi Y Wang Tong T Li Ronghua R

BMC oral health 20220803 1

<h4>Background</h4>Oral squamous cell carcinoma (OSCC) is the most frequent tumor of the head and neck. The glycolysis-related genes and immune-related genes have been proven prognostic values in various cancers. Our study aimed to test the prognostic value of glycolysis-immune-related genes in OSCC.<h4>Methods</h4>Data of OSCC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment analysis was applied to the glycolysis- and immune-rela ...[more]

PMID: 35922788

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Dataset Information

A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.

Background

Methods

Results

Conclusions

Publications

A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.

Similar Datasets

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