International Journal of General Medicine (Jul 2021)
Comprehensive Analysis of the Expression, Prognosis, and Biological Significance of OVOLs in Breast Cancer
Abstract
Jingsheng Chen,1,2,* Hongjun Tang,1,* Taidong Li,3 Kangwei Jiang,2 Haiming Zhong,1 Yuye Wu,1 Jiangtao He,1 Dongbing Li,4 Mengzhen Li,4 Xingsheng Cai4 1Department of Oncology, Central Hospital of Guangdong Nongken, Zhanjiang Cancer Hospital, Zhanjiang, 524002, Guangdong, People’s Republic of China; 2Medical Department, Central Hospital of Guangdong Nongken, Zhanjiang Cancer Hospital, Zhanjiang, 524002, Guangdong, People’s Republic of China; 3Department of Thoracic Surgery, Central Hospital of Guangdong Nongken, Zhanjiang Cancer Hospital, Zhanjiang, 524002, Guangdong, People’s Republic of China; 4MyGene Diagnostics Co., Ltd, Guangzhou, 510000, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongjun TangDepartment of Oncology, Central Hospital of Guangdong Nongken, Zhanjiang Cancer Hospital, No. 2 Mid Renmin Avenue, Zhanjiang, 524002, Guangdong, People’s Republic of ChinaTel +86-0759-2633637Email [email protected]: The study aimed to investigate the expression of OVOLs in breast cancer (BRCA) tissues and their value in prognosis.Methods: ONCOMINE was used to analyze the expressions of OVOL1, OVOL2, and OVOL3 mRNA between BRCA tissues and normal breast tissues. The Wilcoxon rank sum test and t-test were used to assess the expression of OVOLs between BRCA tissues and unpaired/paired normal breast tissues. GEPIA and ROC curves were used to analyze the relationship between OVOLs expression and clinical pathological stage. Kaplan–Meier plotter was used to analyze prognosis. cBioPortal was used to analyze the mutation of OVOLs. GEPIA was used to analyze the co-expression of OVOLs. GO and KEGG analyses were performed by the DAVID software to predict the function of OVOLs co-expression genes.Results: The expression of OVOL1/2 was significantly higher in BRCA tissues than in normal breast tissues. The OVOL3 expression correlated with tumor stage. The AUC of OVOLs was 0.757, 0.754, and 0.537, respectively. OVOL1 high expression was associated with shorter overall survival (HR: 1.48; 95% CI: 1.07– 2.04; P=0.018). The OVOLs were associated with pathways including axon guidance, thyroid hormone signaling pathway, and ubiquinone and other terpenoid-quinone biosynthesis.Conclusion: OVOL1 is a new potential marker of prognosis in BRCA, and OVOL1/2 are potential therapeutic targets in BRCA.Keywords: OVOLs, breast cancer, prognostic, bioinformatics, gene expression
