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Updated: Jul 18, 2025

Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma

Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma

Published on: July 25, 2011

在OSCC中预测宫淋巴结转移,基于计算机断层扫描成像基因组学.

Nenghao Jin^1,2, Bo Qiao^1,2, Min Zhao^3,4

¹Medical School of Chinese PLA, Beijing, China.

Cancer medicine

|August 28, 2023

概括

计算机断层扫描 (CT) 放射学和基因表达揭示了对口腔状细胞癌 (OSCC) 转移的洞察力. 特定的CT特征与基因表达相关,有助于理解OSCC患者的宫淋巴结转移 (LNM).

关键词:

计算机断层扫描成像 (CT成像) 3 基因组学4 基因组学淋巴结转移 (LNM) 2 淋巴结转移口腔状细胞癌 (OSCC) 1 口腔状细胞癌核糖核酸测序 (RNA-seq) 5 核糖核酸测序 (RNA-seq) 5 核糖核酸测序 (RNA-seq) 5 核糖核酸测序 (RNA-seq) 5 核糖核酸测序 (RNA-seq) 5 核糖核酸测序 (RNA-seq) 6 核糖核酸测序 (RNA-seq) 7 核糖核酸测序 (RNA-seq) 8 核糖核酸测序 (RNA-seq) 9

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Last Updated: Jul 18, 2025

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科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
基因组学就是基因组学.

背景情况:

口腔状细胞癌 (OSCC) 是由于宫淋巴结转移 (LNM) 造成的重大挑战.
了解LNM的分子驱动因素对于改善患者的治疗结果至关重要.
计算机断层扫描 (CT) 放射学提供了一种非侵入性方法来评估瘤特征.

研究的目的:

探索CT衍生的放射性特征和与OSCC中LNM相关的关键基因之间的关系.
为了确定潜在的成像生物标志物来预测LNM风险.
为了将放射性特征与OSCC中的基因表达特征相关联.

主要方法:

从140名OSCC患者的增强CT图像中提取了放射性特征.
在20名患者的病理样本上进行了RNA测序,以确定差异表达的基因.
使用了权重基因共同表达网络分析和通路丰富分析 (KEGG,GO).
皮尔森相关性被用来将放射性特征与关键基因和LNM状态联系起来.

主要成果:

在OSCC中,有7种放射性特征与宫LNM显著相关 (p < 0.01).
RNA测序确定了3527种差异表达的RNA.
放射性特征"原始_glrlm_RunVariance"显示与大多数长无编码RNA具有显著的正相关性.

结论:

在OSCC中,宫LNM与唾液毛突起信号通路和特定的生物过程有关.
放射性特征"原始_glrlm_RunVariance"与LNM和许多长非编码RNAs的表达有关.