Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan, China.
Department of Clinical Laboratory, Henan No. 3 Provincial People's Hospital, Zhengzhou, 450052 Henan, China.
Dis Markers. 2022 May 14;2022:4235305. doi: 10.1155/2022/4235305. eCollection 2022.
Although recent clinical investigations emphasize the roles of myriad diversities of RNAs in stromal and immune components in the tumor microenvironment, especially in colon adenocarcinoma, however, analyses of "competing endogenous RNAs (ceRNA)" network in association with stromal and immune scores have yet to be determined. This study was conducted to explore the regulatory mechanisms of a stromal-immune score-based ceRNA network in colon adenocarcinoma. Stromal and immune scores of colon adenocarcinoma tumor samples were calculated by using the ESTIMATE algorithm. Differential expression analysis between samples with high/low stromal and immune scores was performed, followed by functional annotation for the overlapping DEmRNAs. The ceRNA network was constructed by differential expression analysis, prediction of RNA-RNA interaction, and correlation with clinicopathological parameters of the patients, which were further verified by external datasets and experiments. Colon adenocarcinoma patients having higher immune scores exhibited prolonged overall survival. RNA dataset analyses from TCGA revealed aberrant expressions of a total of 2052 mRNAs, 108 lncRNAs, and 70 miRNAs between high and low stromal/immune groups. Functional annotation mapped the differentially overexpressed mRNAs for immune-associated GO terms. To construct the ceRNA network, a total of 48 lncRNAs, 40 miRNAs, and 199 mRNAs were sorted out. A dysregulated ceRNA network consisting of 6 lncRNAs, 11 miRNAs, and 39 mRNAs was constructed by comparing RNA expressions between cancer as well as adjacent normal tissues. The ceRNA regulatory axis "MIAT/miR-532-3p/STC1" was regarded as a potential hit by the comprehensive analysis. The RT-qPCR assay showed upregulation of MIAT and STC1 while downregulation of hsa-miR-532-3p expression in cancer. Thus, our study highlights the potential role of a stromal-immune score-based ceRNA network in the colon adenocarcinoma microenvironment. The ceRNA axis MIAT/miR-532-3p/STC1 could serve as a promising therapeutic target for colon adenocarcinoma.
尽管最近的临床研究强调了众多 RNA 种类在肿瘤微环境中的基质和免疫成分中的作用,特别是在结肠腺癌中,然而,与基质和免疫评分相关的“竞争内源性 RNA(ceRNA)”网络的分析尚未确定。本研究旨在探索基于基质-免疫评分的 ceRNA 网络在结肠腺癌中的调控机制。使用 ESTIMATE 算法计算结肠腺癌肿瘤样本的基质和免疫评分。对基质和免疫评分高/低的样本进行差异表达分析,然后对重叠的 DEmRNAs 进行功能注释。通过差异表达分析、RNA-RNA 相互作用预测以及与患者临床病理参数的相关性构建 ceRNA 网络,进一步通过外部数据集和实验进行验证。具有较高免疫评分的结肠腺癌患者的总生存期延长。TCGA 的 RNA 数据集分析显示,在高和低基质/免疫组之间,共有 2052 个 mRNAs、108 个 lncRNAs 和 70 个 miRNAs 表达异常。功能注释将差异过表达的 mRNAs 映射到与免疫相关的 GO 术语上。为了构建 ceRNA 网络,共筛选出 48 个 lncRNAs、40 个 miRNAs 和 199 个 mRNAs。通过比较癌症和相邻正常组织之间的 RNA 表达,构建了一个失调的 ceRNA 网络,该网络由 6 个 lncRNAs、11 个 miRNAs 和 39 个 mRNAs 组成。通过综合分析,将 ceRNA 调节轴“MIAT/miR-532-3p/STC1”视为一个潜在的靶点。RT-qPCR 检测显示,在癌症中 MIAT 和 STC1 上调,而 hsa-miR-532-3p 表达下调。因此,本研究强调了基于基质-免疫评分的 ceRNA 网络在结肠腺癌微环境中的潜在作用。ceRNA 轴 MIAT/miR-532-3p/STC1 可作为结肠腺癌有前途的治疗靶点。