Karthika Panneerselvam, K Rajkumar, Sathish Kumar, A Mathan Mohan, A Selva Arockiam, Masahiro Sugimoto
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引用次数: 0
摘要
简介：口腔鳞状细胞癌（OSCC口腔鳞状细胞癌（OSCC）是最常见的口腔癌。口腔黏膜的潜在恶性疾病表现出较高的恶性发展倾向。相当一部分病例是在晚期发现的，这对总体生存率有很大影响。本研究旨在确定唾液代谢物在早期检测 OSCC 中的潜在作用：方法：对 PubMed、EMBASE、Scopus、Ovid、Science Direct 和 Web of Science 等数据库进行了检索，以确定符合条件的文章。检索策略采用了精确的术语。使用 QUADAS 2 ROB 工具对纳入的研究进行了质量评估。结果已在 PROSPERO CRD42021278217 上登记：在剔除重复文章和不符合纳入标准的出版物后，本研究共纳入了 7 篇文章。定量合成所采用的随机效应最大似然（REML）模型发现，在本次荟萃分析所纳入的两项研究中，N-乙酰葡糖胺是唯一的代谢物。结论：本研究强调了N-乙酰葡糖胺是一种独特的代谢物，有可能成为OSCC的早期诊断标志物。尽管如此，仍需进一步研究以验证其临床实用性。
Salivary metabolomics in early detection of oral squamous cell carcinoma - a meta-analysis.
Introduction: Oral squamous cell carcinoma (OSCC) represents the most prevalent form of oral cancer. Potentially malignant disorders of oral mucosa exhibit an elevated propensity for malignant progression. A substantial proportion of cases are discerned during advanced stages, significantly impacting overall survival. This investigation aims to ascertain salivary metabolites with potential utility in the early detection of OSCC.
Methods: A search encompassing PubMed, EMBASE, Scopus, Ovid, Science Direct, and Web of Science databases was conducted to identify eligible articles. The search strategy employed precise terms. The quality assessment of the included studies was executed using the QUADAS 2 ROB tool. This was registered with PROSPERO CRD42021278217.
Results: Upon removing duplicate articles and publications that didn't satisfy the inclusion criteria, seven articles were included in the current study. The Random Effects Maximum Likelihood (REML) model adopted for quantitative synthesis identified Nacetyl glucosamine as the sole metabolite in two studies included in this metaanalysis. The pathways significantly influenced by these identified metabolites were delineated.
Conclusion: This study highlights Nacetyl glucosamine as a distinctive metabolite with the potential to serve as an early diagnostic marker for OSCC. Nevertheless, further research is warranted to validate its clinical utility.
期刊介绍：
Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease.
The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery.
The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections:
Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale
Article highlights - an executive summary cutting to the author''s most critical points.
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