Journal of Shandong University (Health Sciences) ›› 2022, Vol. 60 ›› Issue (10): 99-109.doi: 10.6040/j.issn.1671-7554.0.2022.0265

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Genes associated with cervical cancer by integrated bioinformatics analysis

XIU Dejian1,2, GAO Zhengwen3, SONG Tingting4, CUI Nan5, CUI Jing6, SUN Jianping6   

  1. 1. School of Public Health, Qingdao University, Qingdao 266000, Shandong, China;
    2. Laoshan Municipal Center for Disease Control and Prevention, Qingdao 266100, Shandong, China;
    3. Anesthesiology Department, Guzhen Orthopedic Hospital of Chengyang, Qingdao 266000, Shandong, China;
    4. Quality Control Department, Affiliated Qingdao Central Hospital, Qingdao University, Qingdao 266000, Shandong, China;
    5. Hospital Management Institute, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China;
    6. Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao 266033, Shandong, China
  • Published:2022-09-30

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Abstract: Objective To identify the key genes associated with cervical cancer in TCGA and GEO databases, and to explore the molecular mechanism and clinical values. Methods Gene expression profiles of cervical cancer were obtained from TCGA and GEO databases. The differentially expressed genes(DEGs)of cervical cancer were screened with weighted gene co-expression network analysis(WGCNA). Enrich analysis and protein-protein interaction(PPI)network were performed and hub genes were identified. The associations between hub genes and prognosis, and immune cell infiltration were analyzed. Results A total of 88 DEGs were screened out. GO analysis showed that most DEGs were enriched in nuclear chromosome segregation, meiotic nuclear division, condensed chromosome and nuclear chromosome. KEGG pathway analysis showed that those DEGs were enriched in cell cycle, DNA replication, oocyte meiosis, p53 signaling pathway and homologous recombination. A total of 20 hub genes were identified. The lower expression of mitotic arrest deficient 2 like 1(MAD2L1)was associated with longer overall survival(OS)(P=0.013). The lower expression of MAD2L1 was not associated with disease-free survival(DFS)(P>0.05). The protein level of MAD2L1 was up-regulated in cervical cancer. TIMER analysis showed that the level of MAD2L1 was significantly associated with tumor-infiltrating immune cells(P<0.05). Conclusion The candidate gene MAD2L1 associated with cervical cancer was identified, which was associated with the prognosis and immune cell infiltration of patients with cervical cancer, and may become a new target for prognosis and treatment of cervical cancer.

Key words: Cervical cancer, Differentially expressed genes, Weighted gene co-expression network analysis, Enrichment analysis, Protein-protein interaction, Biomarkers

CLC Number: 

  • R737.3
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