The Immune-Related Gene ELF3 is a Novel Biomarker for the Prognosis of Ovarian Cancer

• Main Authors: Xu H, Wang H, Li G, Jin X, Chen B
• Format: Article
• Language: English
• Published: Dove Medical Press 2021-09-01
• Series: International Journal of General Medicine
• Subjects: ovarian cancer; elf3; prognosis; immune infiltrates; biomarkers
• Online Access: https://www.dovepress.com/the-immune-related-gene-elf3-is-a-novel-biomarker-for-the-prognosis-of-peer-reviewed-fulltext-article-IJGM

Hao Xu,1,&ast; Haihong Wang,2,&ast; Guilin Li,3 Xin Jin,3 Buze Chen2,4 1Department of Gynecology, Huangshi Love & Health Hospital Affiliated to Hubei Polytechnic University, Huangshi, 435000, Hubei, People’s Republic of China; 2Department of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People’s Republic of China; 3Department of Gynecology, Maternal and Child Health Care Hospital Affiliated to Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People’s Republic of China; 4Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Buze ChenDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, No. 99 West Huaihai Road, Quanshan District, Xuzhou, 221000, Jiangsu, People’s Republic of ChinaTel [phone]Email [e-mail]: Ovarian cancer (OC) is a fatal gynaecological malignancy. The study aimed to conduct a comprehensive study to determine the role of ELF3 in OC through bioinformatic analysis.Methods: Kruskal–Wallis test, Wilcoxon sign-rank test, and logistic regression were used to evaluate the relationship between clinical characteristics and ELF3 expression. Kaplan–Meier method and Cox regression analysis were used to evaluate the prognostic factors. Gene set enrichment analysis (GSEA) and immuno-infiltration analysis were used to evaluate the significant involvement of ELF3 in function.Results: High ELF3 expression in OC was associated with age (P< 0.001). High ELF3 expression predicted a poorer overall survival (OS) (HR: 1.37; 95% CI: 1.05– 1.78; P=0.019) and disease specific survival (DSS) (HR: 1.43; 95% CI: 1.08– 1.89; P=0.013). And ELF3 expression (HR: 1.779; 95% CI: 1.281– 2.472; P< 0.001) was independently correlated with OS in OC patients. GSEA demonstrated that pathways including GPCR-ligand binding, neuronal system, signaling by WNT, translation, neuroactive ligand-receptor interaction, and TCF dependent signaling in response to WNT were differentially enriched in ELF3 low expression phenotype. Immune infiltration analysis showed that ELF3 expression was correlated with immune infiltrates.Conclusion: ELF3 expression in OC patients was significantly associated with poor survival and immune infiltration and a promising prognostic biomarker in OC.Keywords: ovarian cancer, ELF3, prognosis, immune infiltrates, biomarkers