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使用机器学习开发和验证一种病理学模型,以预测头癌中CXCL8表达和预后

Weihua Wang¹, Suyu Ruan¹, Yuhang Xie¹

¹Department of Otolaryngology-Head and Neck Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Clinical and experimental otorhinolaryngology

|January 21, 2024

概括

使用CXCL8mRNA表达的新病理学模型有效地预测了头部和部状细胞癌 (HNSCC) 患者的预后. 高CXCL8水平与生存率下降相关,提供潜在的治疗点.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
无线电学 (Radiomics) 是一种无线电学.

背景情况:

头部和部状细胞癌 (HNSCC) 需要针对个性化医学的新型预后生物标志物.
病理学,一个定量成像分析,正在成为一个关键的工具.
炎症性细胞因子CXCL8与患者的存活率有关.

研究的目的:

调查CXCL8mRNA表达和HNSCC.病理特征之间的关系.
开发一种病理学模型,用于预测HNSCC患者的预后.
探索CXCL8在HNSCC中的作用背后的生物机制.

主要方法:

利用癌症基因组图谱 (TCGA) -HNSCC数据集用于mRNA测序和临床数据.
使用卡普兰-梅尔曲线进行生存分析,以将CXCL8表达与整体生存 (OS) 相关联.
从H&E染色图像中提取病理特征,应用mRMR-RFE和后勤回归用于模型开发.

主要成果:

高CXCL8mRNA表达与HNSCC患者的OS降低显著相关.
一个逻辑回归病理学模型,使用16个放射学特征,展示了强大的预测性能.
该模型显示了预测和观察到的高基因表达概率之间的良好一致性,表明了临床适用性.

结论:

基于CXCL8mRNA表达的病理学模型是HNSCC预后和临床决策的可行工具.
升高的CXCL8可能与减少DNA损伤和促炎性瘤微环境有关.
对于HNSCC治疗,CXCL8是一个潜在的治疗点.

关键词:

在CXCL8中,CXCL8是CXCL8.头部和部新生体.病理学是一种病理学.

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