转移性肾上腺皮质癌中肿瘤浸润免疫细胞和 ceRNA 网络的构建与分析。

The construction and analysis of tumor-infiltrating immune cells and ceRNA networks in metastatic adrenal cortical carcinoma.

机构信息

Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Division of Spine, Department of Orthopedics, Tongji Hospital affiliated to Tongji University School of Medicine, Shanghai 200065, China.

出版信息

Biosci Rep. 2020 Mar 27;40(3). doi: 10.1042/BSR20200049.

DOI:10.1042/BSR20200049

PMID:32175564

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7103591/

Abstract

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.

摘要

目的

构建和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 例转移和 74 例非转移性原发性肿瘤，建立 ceRNA 网络，以鉴定参与 ACC 转移的 ceRNA。并使用“通过估计相对 RNA 转录物子集来鉴定细胞类型（CIBERSORT）”算法来量化 ACC 中的免疫细胞比例。此外，构建基于重要免疫细胞或 ceRNA 类型的预测列线图，以预测 ACC 预后。此外，我们评估了转移性 ACC 特异性免疫细胞与 ceRNA 网络之间的关系，以鉴定潜在的免疫基因特征。

结果

确定了 10 个预后生物标志物作为 ceRNA 网络的关键成员，并通过 CIBERSORT 算法鉴定了 3 种肿瘤浸润免疫细胞。一些免疫细胞和 ceRNA 网络之间的重要共表达模式表明巨噬细胞 M0 和 hsa-miR-130b-3p（P<0.001）之间以及巨噬细胞 M0 和 H2AFX（P=0.003）之间存在显著相关性。