Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Department of Geriatrics, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Cancer Biomark. 2023;37(3):191-203. doi: 10.3233/CBM-220309.
MicroRNAs regulating mRNA expression by targeting at mRNAs is known constructive in tumor occurrence, immune escape, and metastasis.
This research aims at finding negatively regulatory miRNA-mRNA pairs in esophageal squamous cell carcinoma (ESCC).
GENE expression data of The Cancer Genome Atlas (TCGA) and GEO database were employed in differently expressed RNA and miRNA (DE-miRNAs/DE-mRNAs) screening. Function analysis was conducted with DAVID-mirPath. MiRNA-mRNA axes were identified by MiRTarBase and TarBase and verified in esophageal specimen by real-time reverse transcription polymerase chain reaction (RT-qPCR). Receiver operation characteristic (ROC) curve and Decision Curve Analysis (DCA) were applied in miRNA-mRNA pairs predictive value estimation. Interactions between miRNA-mRNA regulatory pairs and immune features were analyzed using CIBERSORT.
Combining TCGA database, 4 miRNA and 10 mRNA GEO datasets, totally 26 DE-miRNAs (13 up and 13 down) and 114 DE-mRNAs (64 up and 50 down) were considered significant. MiRTarBase and TarBase identified 37 reverse regulation miRNA-mRNA pairs, 14 of which had been observed in esophageal tissue or cell line. Through analysis of RT-qPCR outcome, miR-106b-5p/KIAA0232 signature was chosen as characteristic pair of ESCC. ROC and DCA verified the predictive value of model containing miRNA-mRNA axis in ESCC. Via affecting mast cells, miR-106b-5p/KIAA0232 may contribute to tumor microenvironment.
The diagnostic model of miRNA-mRNA pair in ESCC was established. Their complex role in ESCC pathogenesis especially tumor immunity was partly disclosed.
通过靶向 mRNAs 来调节 mRNA 表达的 microRNAs 被认为在肿瘤发生、免疫逃逸和转移中具有建设性作用。
本研究旨在寻找食管鳞状细胞癌(ESCC)中负调控的 miRNA-mRNA 对。
采用 The Cancer Genome Atlas(TCGA)和 GEO 数据库的基因表达数据进行差异表达 RNA 和 miRNA(DE-miRNAs/DE-mRNAs)筛选。利用 DAVID-mirPath 进行功能分析。通过 MiRTarBase 和 TarBase 识别 miRNA-mRNA 轴,并通过实时逆转录聚合酶链反应(RT-qPCR)在食管标本中进行验证。采用Receiver operating characteristic(ROC)曲线和 Decision Curve Analysis(DCA)评估 miRNA-mRNA 对预测价值。利用 CIBERSORT 分析 miRNA-mRNA 调控对与免疫特征的相互作用。
结合 TCGA 数据库和 4 个 miRNA 和 10 个 mRNA 的 GEO 数据集,共筛选出 26 个 DE-miRNAs(13 个上调和 13 个下调)和 114 个 DE-mRNAs(64 个上调和 50 个下调)。MiRTarBase 和 TarBase 共识别出 37 个反向调控的 miRNA-mRNA 对,其中 14 个在食管组织或细胞系中已有观察。通过分析 RT-qPCR 结果,选择 miR-106b-5p/KIAA0232 作为 ESCC 的特征性对。ROC 和 DCA 验证了包含 miRNA-mRNA 轴的模型在 ESCC 中的预测价值。通过影响肥大细胞,miR-106b-5p/KIAA0232 可能有助于肿瘤微环境。
建立了 ESCC 中 miRNA-mRNA 对的诊断模型。揭示了它们在 ESCC 发病机制中的复杂作用,特别是在肿瘤免疫方面。