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蛋白质组学方法辅助口腔癌的诊断和预后。

Proteomic approaches to assist in diagnosis and prognosis of oral cancer.

机构信息

Laboratório Nacional De Biociências (Lnbio), Centro Nacional De Pesquisa Em Energia E Materiais (CNPEM), Campinas, Brazil.

Departamento De Diagnóstico Oral, Faculdade De Odontologia De Piracicaba, Universidade Estadual De Campinas (UNICAMP), Piracicaba, Brazil.

出版信息

Expert Rev Proteomics. 2021 Apr;18(4):261-284. doi: 10.1080/14789450.2021.1924685. Epub 2021 May 18.

Abstract

Oral squamous cell carcinoma (OSCC) ranks among the top 10 leading causes of cancer worldwide, with 5-year survival rate of about 50%, high lymph node metastasis, and relapse rates. The OSCC diagnosis, prognosis, and treatment are mostly based on the clinical TNM classification. There is an urgent need for the discovery of biomarkers and therapeutic targets to assist in the clinical decision-making process. We summarize proteomic studies of the OSCC tumor, immune microenvironment, potential liquid biopsy sites, and post-translational modifications trying to retrieve information in the discovery and verification or (pre)validation phases. The search strategy was based on the combination of MeSH terms and expert refinement. Untargeted combined with targeted proteomics are strategies that provide reliable and reproducible quantitation of proteins and are the methods of choice of many groups worldwide. Undoubtedly, proteomics has been contributing to the understanding of OSCC progression and uncovers potential candidates as biomarker or therapeutic targets. Nevertheless, none of these targets are available in the clinical practice yet. The scientific community needs to overcome the limitations by investing in robust experimental designs to strengthen the value of the findings, leveraging the translation of knowledge, and further supporting clinical decisions.

摘要

口腔鳞状细胞癌 (OSCC) 是全球排名前十的癌症主要病因之一,其 5 年生存率约为 50%,淋巴结转移率和复发率较高。OSCC 的诊断、预后和治疗主要基于临床 TNM 分类。因此,急需发现生物标志物和治疗靶点,以辅助临床决策过程。我们总结了 OSCC 肿瘤、免疫微环境、潜在液体活检部位和翻译后修饰的蛋白质组学研究,试图在发现和验证或(预)验证阶段检索信息。检索策略基于 MeSH 术语和专家细化的组合。非靶向联合靶向蛋白质组学是提供可靠和可重复的蛋白质定量的策略,是全球许多研究小组的首选方法。毫无疑问,蛋白质组学一直在为理解 OSCC 进展做出贡献,并揭示了作为生物标志物或治疗靶点的潜在候选者。然而,目前这些靶点都还没有应用于临床实践。科学界需要通过投资稳健的实验设计来克服这些局限性,以增强研究结果的价值,利用知识的转化,并进一步支持临床决策。

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