Gong Peng-Ju, Shao You-Cheng, Huang Si-Rui, Zeng Yi-Fan, Yuan Xiao-Ning, Xu Jing-Jing, Yin Wei-Nan, Wei Lei, Zhang Jing-Wei
Department of Breast and Thyroid Surgery, Zhongnan Hospital, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Wuhan University, Wuhan, China.
Department of Pathology and Pathophysiology, Hubei Provincial Key Laboratory of Developmentally Originated Disease, School of Basic Medical Sciences, Wuhan University, Wuhan, China.
Front Oncol. 2020 Dec 2;10:579868. doi: 10.3389/fonc.2020.579868. eCollection 2020.
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.
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.
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.
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.
许多原发性肿瘤存在分子氧供应不足的情况,即缺氧。缺氧是实体瘤的主要特征之一,会导致局部复发和远处转移的风险更高。因此,研究乳腺癌中与缺氧相关的分子特征非常必要。
根据已发表的研究,我们基于癌症基因组图谱(TCGA)的数据,使用ConsensusClusterPlus软件包选择了13个与缺氧相关的基因表达特征来定义乳腺癌的缺氧状态。随后,我们对不同缺氧条件下24种免疫细胞类型的浸润情况进行了表征。此外,还分析并描述了差异表达的与缺氧相关的微小RNA、信使核糖核酸(mRNA)及相关信号通路。在此基础上,鉴定了一系列与缺氧相关的预后标志物,并构建了竞争性内源RNA(ceRNA)共表达网络。
我们鉴定出两个亚组(cluster1和cluster2),13个与缺氧相关的基因特征在cluster1中均上调。因此,与cluster2相比,我们将cluster1定义为“缺氧亚组”。cluster1中CD8 + T细胞和CD4 + T细胞的浸润较低,而调节性T细胞(nTreg细胞和iTreg细胞)的浸润较高,这表明cluster1存在免疫抑制状态。我们观察到微小RNA和mRNA存在广泛的与缺氧相关的失调。接下来,基于12个失调的与缺氧相关的预后基因建立了一个预测乳腺癌患者预后的风险特征。两个微小RNA,即hsa-miR-210-3p和hsa-miR-190b,其绝对logFC值最显著,分别与不良预后和较好预后相关。预测表明,几个长链非编码RNA是微小RNA的靶标,并与两个选定的mRNA,即CPEB2和BCL11A呈正相关。基于SNHG16-hsa-miR-210-3p-CPEB2和LINC00899/PSMG3-AS1/PAXIP-AS1-hsa-miR-190b-BCL11A的ceRNA调控网络表明,这两个基因可能分别作为肿瘤抑制基因和癌基因发挥作用。
缺氧在乳腺癌的发生和发展中起重要作用。我们的研究为从分子水平理解肿瘤缺氧提供了潜在机制。