Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients
10.3971/j.issn.1000-8578.2025.24.0675
- VernacularTitle:生物信息学和孟德尔随机化分析口腔鳞状细胞癌差异表达基因与患者预后的相关性
- Author:
Maolin LIU
1
,
2
;
Xiaona SONG
2
;
Yaqi LIU
2
;
Shuxuan SHI
2
;
Guohua SONG
2
Author Information
1. Asset Management Department, Shanxi Medical University, Taiyuan 030001, China
2. Shanxi Key Laboratory of Laboratory Animal and Human Disease Animal Model, Center for Laboratory Animals, Shanxi Medical University, Taiyuan 030001, China.
- Publication Type:CLINICALRESEARCH
- Keywords:
Biological information;
Mendelian randomization analysis;
Oral squamous cell carcinoma;
Cox risk regression analysis
- From:
Cancer Research on Prevention and Treatment
2025;52(2):133-141
- CountryChina
- Language:Chinese
-
Abstract:
Objective Differentially expressed genes in oral squamous cell carcinoma (OSCC) were subjected to bioinformatic and Mendelian randomization analyses to elucidate their prognostic significance in OSCC. Methods The TCGA database and dataset GSE138206 were used to screen the common differential genes of OSCC, and their relationship was analyzed by using Mendelian randomization. The prognostic value of differential genes was further analyzed by Cox risk regression. The biological function of genes with high prognostic value was further evaluated by single gene differential analysis. Results A total of 147 common differential genes were screened from the two databases. Results of two-sample Mendelian randomization showed that GREM2 was associated with the increased risk of OSCC. In addition, SH3BGRL2 was associated with a decreased risk of OSCC, and DKK1, CCL11, and HOXC6 were considered as independent prognostic markers of OSCC. The predicted results of DKK1 were consistent with the actual results. KEGG enrichment analysis indicated the potential involvement of DKK1 in arachidonic acid and linoleic acid metabolism. Furthermore, DKK1 showed positive correlations with Tgd and Th2 cells, while displaying negative associations with PDC, Cytotoxic cells, Mast cells, CD8 T cells, TFH cells, B cells, T cells, and Th17 cells. Conclusion GREM2 is associated with an increased risk of OSCC. DKK1 is highly expressed in OSCC and associated with poor prognosis, which may be involved in regulating the metabolism of arachidonic acid and linoleic acid and immune cell invasion in OSCC.
