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LIU Maolin, SONG Xiaona, LIU Yaqi, SHI Shuxuan, SONG Guohua. Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients[J]. Cancer Research on Prevention and Treatment, 2025, 52(2): 133-141. DOI: 10.3971/j.issn.1000-8578.2025.24.0675
Citation: LIU Maolin, SONG Xiaona, LIU Yaqi, SHI Shuxuan, SONG Guohua. Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients[J]. Cancer Research on Prevention and Treatment, 2025, 52(2): 133-141. DOI: 10.3971/j.issn.1000-8578.2025.24.0675

Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients

Funding: National Natural Science Foundation of China (No. 31772551, 31970513); Shanxi Province Science and Technology Innovation Talent Team Project (No. 202204051002032); Shanxi Province Higher Education “Billion Project” Science and Technology Guidance Project (No. BYJL016)
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  • Corresponding author:

    SONG Guohua, E-mail: ykdsgh@163.com

  • Received Date: July 12, 2024
  • Revised Date: November 19, 2024
  • Accepted Date: November 04, 2024
  • 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.

  • Competing interests: The authors declare that they have no competing interests.

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