The construction and analysis of tumor-infiltrating immune cells and ceRNA networks in metastatic adrenal cortical carcinoma
The construction and analysis of tumor-infiltrating immune cells and ceRNA networks in metastatic adrenal cortical carcinoma
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DOI：
10.1042/bsr20200049
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发表时间：
2020-03-27
影响因子：
4
通讯作者：
Huang, Zongqiang
中科院分区：
文献类型：
--
作者：
Huang, Runzhi;Liu, Ziqi;Huang, Zongqiang
目的：构建并分析转移性肾上腺皮质癌（ACC）中的肿瘤浸润免疫细胞和ceRNA（竞争性内源性RNA）网络。方法：基于TCGA中的92个样本（包括18例转移性肿瘤和74例非转移性原发肿瘤），建立ceRNA网络，识别参与ACC转移的ceRNA。并使用“通过估计RNA转录子的相对子集来识别细胞类型（CIBERSORT）”算法来量化ACC中免疫细胞的比例。此外，还构建了基于重要免疫细胞或 ceRNA 类型的预测列线图来预测 ACC 预后。此外，我们评估了转移性 ACC 特异性免疫细胞和 ceRNA 网络之间的关系，以识别潜在的免疫基因特征。结果：10 个预后生物标志物被确定为 ceRNA 网络的关键成员，并通过 CIBERSORT 算法识别出 3 个肿瘤浸润免疫细胞。免疫细胞和 ceRNA 网络之间的一些重要共表达模式表明巨噬细胞 M0 和 hsa-miR-130b-3p (P < 0.001)、巨噬细胞 M0 和 H2AFX (P = 0.003) 之间存在显着相关性。结论：本研究推断 H2AFX、hsa-miR-130b-3p 和巨噬细胞 M0 的转移相关 ceRNA 可能发挥重要作用ACC 转移中的作用。
Purpose: To construct and analyze tumor-infiltrating immune cell and ceRNA (competitive endogenous RNA) networks in metastatic adrenal cortical carcinoma (ACC).Methods: A ceRNA network was established to identify the ceRNAs involved in metastasis of ACC based on 92 samples from TCGA, including 18 cases of metastasis and 74 cases of non-metastatic primary tumors. And the algorithm "cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT)" was used to quantify the proportion of immune cells in ACC. In addition, predictive nomograms based on the types of important immune cells or ceRNAs were constructed to predict ACC prognosis. Moreover, we evaluated the relationships between metastatic ACC-specific immune cells and ceRNA networks to identify the potential immune gene characteristics.Results: Ten prognostic biomarkers were identified as key members of the ceRNA network and three tumor-infiltrating immune cells were identified by CIBERSORT algorithm. Some important co-expression patterns between immune cells and ceRNAs network indicate significant correlation between Macrophages M0 and hsa-miR-130b-3p (P < 0.001), Macrophages M0 and H2AFX (P = 0.003).Conclusions: The present study inferred that the metastasis-related ceRNAs of H2AFX, hsa-miR-130b-3p and Macrophages M0 might play important roles in ACC metastasis.