Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies

唾液生物标志物在口腔癌诊断中的应用:推进传统治疗策略

阅读:3

Abstract

Oral squamous cell carcinoma (OSCC) is a major global health challenge, with most cases being diagnosed at advanced stages. Traditional diagnostic methods are often invasive and costly, and can delay diagnosis. Saliva has emerged as a promising non-invasive source of biomarkers for OSCC detection. This highlights the need for accessible, non-invasive, and sensitive biomarkers for OSCC detection. This review critically evaluates the current status and future potential of salivary biomarkers in OSCC, with an emphasis on their diagnostic efficacy, sensitivity, specificity, clinical validation, and advantages over traditional serum- and plasma-based markers. Saliva is a promising liquid for biopsy due to its non-invasive collection and molecular richness. We summarize evidence on diverse salivary biomarkers, including microRNAs (miRNAs), proteins, metabolites, circulating tumor cells (CTCs), and circulating tumor DNA (ctDNA), highlighting their dysregulation in OSCC and diagnostic utility. Particular emphasis is placed on CTCs, ctDNA, and miRNAs, which demonstrate stability in saliva and potential for early detection. We further discuss advances in next-generation sequencing, mass spectrometry, and artificial intelligence/machine learning that enable the development of biomarker panels with improved diagnostic accuracy over single markers. Despite challenges such as sample heterogeneity and the lack of standardized protocols, salivary biomarkers hold strong potential to transform OSCC care by enabling earlier detection, guiding personalized therapies, and supporting non-invasive disease monitoring. However, achieving methodological standardization, validating biomarkers across diverse cohorts, and integrating them into clinical workflows are imperative before their routine application in practice.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。