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食管鳞癌负调控 miRNA-mRNA 轴的综合分析。

Integrative analysis of negatively regulated miRNA-mRNA axes for esophageal squamous cell carcinoma.

机构信息

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.

出版信息

Cancer Biomark. 2023;37(3):191-203. doi: 10.3233/CBM-220309.

Abstract

BACKGROUND

MicroRNAs regulating mRNA expression by targeting at mRNAs is known constructive in tumor occurrence, immune escape, and metastasis.

OBJECTIVE

This research aims at finding negatively regulatory miRNA-mRNA pairs in esophageal squamous cell carcinoma (ESCC).

METHODS

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.

RESULTS

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.

CONCLUSIONS

The diagnostic model of miRNA-mRNA pair in ESCC was established. Their complex role in ESCC pathogenesis especially tumor immunity was partly disclosed.

摘要

背景

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。

目的

本研究旨在寻找食管鳞状细胞癌(ESCC)中负调控的 miRNA-mRNA 对。

方法

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。

结果

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。

结论

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。

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