Background: Triple-negative breast cancer (TNBC) is a heterogeneous disease with a worse prognosis. However, current therapies have rarely improved the outcome of patients with TNBC. Here we sought to identify novel biomarkers or targets for TNBC. Materials and methods: Patients GSE76275 clinic traits and their corresponding mRNA profiles for 198 TNBC and 67 non-TNBC were obtained from the GEO database. Weighted gene co-expression network analysis (WGCNA) of the GSE76275 keyed out hub genes, and the differentially expressed genes (DEGs) were identified with the cut-off of adjusted P (adj. P) <0.01 and vertical bar log2 fold-change (FC)vertical bar > 1.5. The hub - DEGs overlapping genes, as key genes, were considered for further study using Kaplan-Meier plotter online analysis. Subsequently, Breast Cancer Gene-Expression Miner v4.0 and tissue microarray analysis were applied to determine the transcriptional and translational levels of every key gene. Following plasmid transfection for overexpression, the proliferation of TNBC cells was determined by CCK8 and colony formation assay. Moreover, xenograft tumor models were canvassed to investigate their effect upon in vivo tumor growth. Results: Four genes (SIDT1, ANKRD30A, GPR160, and CA12) were found to be associated with relapse-free survival (RFS) in TNBC through WGCNA and DEGs integrated analysis. Patients with a higher level of SIDT1 had significantly better RFS compared to those with lower levels. The transcriptional and translational levels of SIDT1 were validated as down-regulated in patients with triple-negative status, negative estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Furthermore, SIDT1 inhibited proliferation of breast cancer cells (MDA-MB-231 and MDA-MB-468) and xenograft studies demonstrated that SIDT1 can suppress tumor growth in vivo. Conclusion: This study suggests that SIDT1 may play a crucial role in TNBC progression and has the potential as a prognostic biomarker of TNBC.
基金:
National Science and Technology Major Sub-Project [2018ZX10301402-002]; Technical Innovation Special Project of Hubei Province [2018ACA138]; Wuhan Municipal Health Commission [WX18Q16]; National Natural Science Foundation of China [81572570, 81772787]
第一作者单位:[1]Huazhong Univ Sci & Technol,Canc Biol Res Ctr,Key Lab,Minist Educ,Tongji Hosp,Tongji Med Coll,1095 Jiefang Ave,Wuhan 430000,Hubei,Peoples R China
通讯作者:
推荐引用方式(GB/T 7714):
Wang Ya,Li Hanning,Ma Jingjing,et al.Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer[J].ONCOTARGETS AND THERAPY.2019,12:8401-8410.doi:10.2147/OTT.S215898.
APA:
Wang, Ya,Li, Hanning,Ma, Jingjing,Fang, Tian,Li, Xiaoting...&Gao, Qinglei.(2019).Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer.ONCOTARGETS AND THERAPY,12,
MLA:
Wang, Ya,et al."Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer".ONCOTARGETS AND THERAPY 12.(2019):8401-8410