网络分析揭示了牙周炎和口腔鳞状细胞癌之间的 miRNA 串扰。
Network analysis reveals miRNA crosstalk between periodontitis and oral squamous cell carcinoma.
机构信息
Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.
National Center for Stomatology and National Clinical Research Center for Oral Diseases, Shanghai, China.
出版信息
BMC Oral Health. 2023 Jan 13;23(1):19. doi: 10.1186/s12903-022-02704-2.
BACKGROUND
Oral squamous cell carcinoma (OSCC) is one of the malignant tumors with a poor prognosis. Periodontitis (PD is considered a high-risk factor for OSCC, but the genetic mechanism is rarely studied. This study aims to link OSCC and PD by identifying common differentially expressed miRNAs (Co-DEmiRNAs), their related genes (Hub genes), transcription factors (TFs), signaling pathways, enrichment functions, and compounds, and searching for genetic commonalities.
METHODS
The miRNAs expression datasets of OSCC and PD were searched from the GEO database. The miRNA and related crosstalk mechanism between OSCC and PD was obtained through a series of analyses.
RESULTS
hsa-mir-497, hsa-mir-224, hsa-mir-210, hsa-mir-29c, hsa-mir-486-5p, and hsa-mir-31are the top miRNA nodes in Co-DEmiRNA-Target networks. The most significant candidate miRNA dysregulation genes are ZNF460, FBN1, CDK6, BTG2, and CBX6, while the most important dysregulation TF includes HIF1A, TP53, E2F1, MYCN, and JUN. 5-fluorouracil, Ginsenoside, Rh2, and Formaldehyde are the most correlated compounds. Enrichment analysis revealed cancer-related pathways and so on.
CONCLUSIONS
The comprehensive analysis reveals the interacting genetic and molecular mechanism between OSCC and PD, linking both and providing a foundation for future basic and clinical research.
背景
口腔鳞状细胞癌（OSCC）是预后较差的恶性肿瘤之一。牙周炎（PD）被认为是 OSCC 的高危因素，但遗传机制研究甚少。本研究旨在通过鉴定常见差异表达的 microRNA（Co-DEmiRNA）、其相关基因（Hub 基因）、转录因子（TFs）、信号通路、富集功能和化合物，寻找遗传共性，将 OSCC 和 PD 联系起来。
方法
从 GEO 数据库中搜索 OSCC 和 PD 的 microRNA 表达数据集。通过一系列分析，获得了 OSCC 和 PD 之间的 microRNA 及相关串扰机制。
结果
hsa-mir-497、hsa-mir-224、hsa-mir-210、hsa-mir-29c、hsa-mir-486-5p 和 hsa-mir-31 是 Co-DEmiRNA-Target 网络中的顶级 miRNA 节点。最显著的候选 miRNA 失调基因是 ZNF460、FBN1、CDK6、BTG2 和 CBX6，而最重要的失调 TF 包括 HIF1A、TP53、E2F1、MYCN 和 JUN。5-氟尿嘧啶、人参皂苷、Rh2 和甲醛是最相关的化合物。富集分析揭示了癌症相关的通路等。
结论
综合分析揭示了 OSCC 和 PD 之间相互作用的遗传和分子机制，将两者联系起来，为未来的基础和临床研究提供了基础。
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