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副本数量的变化预测了口腔白血病的OSCC的发展

X Cai^1,2, J Zhang^1,2, L Li³

¹Department of Oral Pathology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.

Journal of dental research

|January 13, 2024

概括

基因组副本数的改变 (CNAs) 可以预测口腔白血病 (OLK) 恶性转变的风险. 一个新的CNA评分模型准确预测预后,优于传统评分,以更好地管理OLK.

科学领域:

基因组学就是基因组学.
在瘤学瘤学.
口腔病理学口腔病理学

背景情况:

口腔白血病 (OLK) 是一种潜在的恶性疾病,具有不可预测的恶性转变风险.
目前的生物标志物在评估OLK向口腔状细胞癌 (OSCC) 的进展方面缺乏有效性.
基因组拷贝数 (CNA) 的改变与各种癌症有关,并且可以作为预测标记.

研究的目的:

使用副本数分析开发OLK恶性转变风险的预测模型.
评估CNA得分在预测预后和指导OLK管理方面的有效性.
为了比较CNA得分的预测性能与传统的病原学分级.

主要方法:

分析了431个OLK样本中的CNA,并提供了长期随访数据.
基于多变量考克斯回归分析的CNA评分模型的开发.
使用来自两个独立中心的外部数据集验证CNA评分模型.

主要成果:

与OLK发育不良症的严重程度相关的CNA事件.
在OLK样本中较高的CNA得分表明恶性转变的风险增加 (P < 0.001).
该CNA得分模型显示出高预测准确度 (AUC = 0.879) 并表现优于基因病学等级.

结论:

CNA评分是预测OLK恶性转变的强有力的生物标志物.
根据CNA得分分类OLK可以提高患者管理和OSCC风险预测.
这种基因组方法为评估OLK预后提供了更精确的工具.

关键词:

生物标志物生物标志物发育不良症发育不良症基因组的改变是基因组的改变.过度增生症过度增生症恶性转变的恶性转变口腔状细胞癌的癌症.

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