Comprehensive analysis of suppressor of cytokine signaling proteins in human breast Cancer

• Published in: BMC cancer Vol. 21; no. 1; pp. 1 - 696
• Main Authors: Sun, Mingyu, Tang, Chuangang, Liu, Jun, Jiang, Wenli, Yu, Haifeng, Dong, Fang, Huang, Caiguo, Rixiati, Youlutuziayi
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 13.06.2021; BioMed Central; BMC
• Subjects: Angiogenesis; Bioinformatics; Biomarkers; Breast cancer; Cancer; Cancer therapies; Copy number; Cytokines; Datasets; Development and progression; DNA methylation; Gene expression; Gene set enrichment analysis; Genetic aspects; Genomes; Genotypes; Health aspects; Invasiveness; Medical prognosis; Multivariate analysis; Oncology, Experimental; Online data bases; Patients; Prognosis; Proteins; Signal transduction; SOCS3; Survival; Survival analysis; Therapeutic targets; Treatment; Tumors; China
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-021-08434-y

Background Abnormal expression of suppressor of cytokine signaling (SOCS) proteins regulates tumor angiogenesis and development in cancers. In this study, we aimed to perform a comprehensive bioinformatic analysis of SOCS proteins in breast invasive carcinoma (BRCA). Methods The gene expression, methylation level, copy number, protein expression and patient survival data related to SOCS family members in BRCA patients were obtained from the following databases: Oncomine, The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Human Protein Atlas (HPA), Gene Expression Profiling Interactive Analysis (GEPIA), PCViz, cBioPortal and Kaplan-Meier plotter. Correlation analyses, identification of interacting genes and construction of regulatory networks were performed by functional and pathway enrichment analyses, weighted gene coexpression network analysis (WGCNA) and gene set enrichment analysis (GSEA). Results Data related to 1109 BRCA tissues and 113 normal breast tissue samples were extracted from the TCGA database. SOCS2 and SOCS3 exhibited significantly lower mRNA expression levels in BRCA tissues than in normal tissues. BRCA patients with high mRNA levels of SOCS3 (p < 0.01) and SOCS4 (p < 0.05) were predicted to have significantly longer overall survival (OS) times. Multivariate analysis showed that SOCS3 was an independent prognostic factor for OS. High mRNA expression levels of SOCS2 (p < 0.001), SOCS3 (p < 0.001), and SOCS4 (p < 0.01), and a low expression level of SOCS5 (p < 0.001) were predicted to be significantly associated with better recurrence-free survival (RFS). Multivariate analysis showed that SOCS2 was an independent prognostic factor for RFS. Lower expression levels of SOCS2 and SOCS3 were observed in patients with tumors of more advanced clinical stage (p < 0.05). Functional and pathway enrichment analyses, together with WGCNA and GSEA, showed that SOCS3 and its interacting genes were significantly involved in the JAK-STAT signaling pathway, suggesting that JAK-STAT signaling might play a critical role in BRCA angiogenesis and development. Western blot results showed that overexpression of SOCS3 inhibited the activity of the JAK-STAT signaling pathway in vitro. Conclusions SOCS family proteins play a very important role in BRCA. SOCS3 may be a prognostic factor and SOCS2 may be a potential therapeutic target in breast cancer. Keywords: Breast cancer, Bioinformatics, Prognosis, Treatment, SOCS3