在口腔状细胞癌中减少hsa_circ_0112879的表达及其临床病理影响

在口腔状细胞癌中减少hsa_circ_0112879的表达及其临床病理影响

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Updated: Jul 11, 2025

Development of Compendium for Esophageal Squamous Cell Carcinoma

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Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

439

Yufan Wang¹, Shuai Sun², Yuling Chen¹

¹Department of Oral and Maxillofacial Surgery, Peking University Shenzhen Hospital, Shenzhen, China.

Translational cancer research

|November 16, 2023

概括

口腔状细胞癌 (OSCC) 显示hsa_circ_0112879表达减少,与瘤分化相关. 使用hsa_circ_0112879相关的微RNA的新型预后模型有助于预测OSCC结果.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
基因组学就是基因组学.

背景情况:

口腔状细胞癌 (OSCC) 是一种普遍存在的恶性瘤.
循环RNAs (circRNAs) 越来越多地被认为是癌症中的角色.
识别特定的circRNA及其调节网络对于理解OSCC病原体至关重要.

研究的目的:

与正常组织相比,在OSCC中识别差异表达的circRNA.
为OSCC建立基于hsa_circ_0112879相关的微RNA (miRNA) 的预后模型.
评估hsa_circ_0112879作为早期OSCC诊断和预后的潜在生物标志物.

主要方法:

定量实时聚合酶链反应 (qRT-PCR) 用于测量OSCC细胞系和组织中的hsa_circ_0112879表达.
接收器操作特征 (ROC) 曲线分析以评估诊断和预后意义.
使用考克斯和拉索回归分析,对miRNA-mRNA相互作用的生物信息预测和基于miRNA的风险模型的构建.

主要成果:

Hsa_circ_0112879在OSCC组织和细胞系中显著下调,表达与瘤病理差异化相关.
鉴定了与hsa_circ_0112879相关的141种不同表达的miRNA,其中70种在OSCC上调和71种在OSCC下调.
构建的风险模型证明了OSCC预后的预测准确性,ROC曲线分析给出了0.591 (1年),0.689 (3年) 和0.618 (5年) 的AUC.
丰富分析揭示了高风险组的关键信号通路 (例如,通关类受体,JAK-STAT).

结论:

开发的预后模型和名图可以有效地区分OSCC患者的预后.
Hsa_circ_0112879显示了作为口腔状细胞癌的诊断和预后的新生物标志物的潜力.

关键词:

癌症癌症癌症癌症生物标志物生物标志物循环RNAs (循环RNAs) 是一种循环RNA.

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