Hypoxia-Associated Prognostic Markers and Competing Endogenous RNA Co-Expression Networks in Breast Cancer

被引:31
|
作者
Gong, Peng-Ju [1 ]
Shao, You-Cheng [2 ]
Huang, Si-Rui [1 ]
Zeng, Yi-Fan [1 ]
Yuan, Xiao-Ning [2 ]
Xu, Jing-Jing [1 ]
Yin, Wei-Nan [2 ]
Wei, Lei [2 ]
Zhang, Jing-Wei [1 ]
机构
[1] Wuhan Univ, Zhongnan Hosp, Dept Breast & Thyroid Surg, Hubei Key Lab Tumor Biol Behav,Hubei Canc Clin St, Wuhan, Peoples R China
[2] Wuhan Univ, Sch Basic Med Sci, Dept Pathol & Pathophysiol, Hubei Prov Key Lab Dev Originated Dis, Wuhan, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2020年 / 10卷
关键词
hypoxia; breast cancer; The Cancer Genome Atlas; ceRNA; prognosis; TUMOR HYPOXIA; IN-VITRO; IMMUNOTHERAPY; EXPRESSION; SIGNATURES; PLATFORM; COMPACT; TARGET; GENES; BCL-2;
D O I
10.3389/fonc.2020.579868
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective Many primary tumors have insufficient supply of molecular oxygen, called hypoxia. Hypoxia is one of the leading characteristics of solid tumors resulting in a higher risk of local failure and distant metastasis. It is quite necessary to investigate the hypoxia associated molecular hallmarks in breast cancer. Materials and Methods According to the published studies, we selected 13 hypoxia related gene expression signature to define the hypoxia status of breast cancer using ConsensusClusterPlus package based on the data from The Cancer Genome Atlas (TCGA). Subsequently, we characterized the infiltration of 24 immune cell types under different hypoxic conditions. Furthermore, the differentially expressed hypoxia associated microRNAs, mRNAs and related signaling pathways were analyzed and depicted. On this basis, a series of prognostic markers related to hypoxia were identified and ceRNA co-expression networks were constructed. Results Two subgroups (cluster1 and cluster2) were identified and the 13 hypoxia related gene signature were all up-regulated in cluster1. Thus, we defined the cluster1 as "hypoxic subgroup" compared with cluster2. The infiltration of CD8+ T cell and CD4+ T cell were lower in cluster1 while the nTreg cell and iTreg cell were higher, indicating that there was immunosuppressive status in cluster1. We observed widespread hypoxia-associated dysregulation of microRNAs and mRNAs. Next, a risk signature for predicting prognosis of breast cancer patients was established based on 12 dysregulated hypoxia associated prognostic genes. Two microRNAs, hsa-miR-210-3p and hsa-miR-190b, with the most significant absolute logFC value were related to unfavorable and better prognosis, respectively. Several long non-coding RNAs were predicted to be microRNA targets and positively correlated with two selected mRNAs, CPEB2 and BCL11A. Predictions based on the SNHG16-hsa-miR-210-3p-CPEB2 and LINC00899/PSMG3-AS1/PAXIP-AS1-hsa-miR-190b-BCL11A ceRNA regulation networks indicated that the two genes might act as tumor suppressor and oncogene, respectively. Conclusion Hypoxia plays an important role in the initiation and progression of breast cancer. Our research provides potential mechanisms into molecular-level understanding of tumor hypoxia.
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页数:18
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