诊断,预后和预测分子生物标志物在头部和部状细胞癌:一个全面的审查
Adam Michcik1,2, Barbara Wojciechowska1,2, Jakub Tarnawski1,2
1Department of Maxillofacial Surgery, Faculty of Medicine, Medical University of Gdansk, Mariana Smoluchowskiego 17, 80-214 Gdansk, Poland.
Journal of clinical medicine
|January 28, 2026
概括
识别头角状细胞癌 (HNSCC) 的新生物标志物至关重要. 本次审查强调了新兴的分子标记物和转向多原子方法的转变,以更好地诊断和治疗监测.
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.
- 生物标志物发现发现
背景情况:
- 头部和部状细胞癌 (HNSCC) 是一种普遍存在的癌症,存活率很低,需要改进的诊断和预后工具.
- 口腔状细胞癌 (OSCC) 是最常见的亚型,强调需要有效的监测策略.
- 个性化治疗需要强大的标志物用于诊断,预后和预测治疗反应.
研究的目的:
- 对HNSCC的诊断,预后和预测标记进行近期 (过去10年) 的文献综合审查.
- 识别既定和新兴的生物标志物,包括分子,基因组和代谢指标.
- 评估HNSCC管理的多组合方法的潜力.
主要方法:
- 系统的文献审查遵循PRISMA和PICO标准.
- 在PubMed/MEDLINE,Scopus和Web of Science数据库中进行的搜索.
- 用于研究选择的AI驱动工具 (Rayyan QCRI);通过NOS或QUIPS评估质量.
主要成果:
- 确定了34篇相关文章,包括元分析和原始试验.
- 已经确定的标志物,如p16阳性和PD-L1 (CPS) 仍然很重要.
- 新兴标记物包括lncRNA签名,TIGIT免疫检查点,IL-10促进分子多态,代谢调节器 (GLUT-1) 和MASPIN蛋白,提供预测价值.
结论:
- 该领域正在朝着一个多原子战略迈进,将DNA,RNA,蛋白质和HNSCC的代谢数据整合起来.
- 预计人工智能驱动的多标记面板和液体活检将用于实时监测.
- 未来的应用程序旨在实现治疗降级和个性化患者护理.
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