Laboratório Nacional de Biociências - LNBio, Centro Nacional de Pesquisa em Energia e Materiais - CNPEM, Campinas, SP, Brazil.
Laboratório de Biologia de Sistemas Regulatórios, Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brazil.
Mol Cell Proteomics. 2021;20:100118. doi: 10.1016/j.mcpro.2021.100118. Epub 2021 Jun 27.
Oral squamous cell carcinoma (OSCC) has high mortality rates that are largely associated with lymph node metastasis. However, the molecular mechanisms that drive OSCC metastasis are unknown. Extracellular vesicles (EVs) are membrane-bound particles that play a role in intercellular communication and impact cancer development and progression. Thus, profiling EVs would be of great significance to decipher their role in OSCC metastasis. For that purpose, we used a reductionist approach to map the proteomic, miRNA, metabolomic, and lipidomic profiles of EVs derived from human primary tumor (SCC-9) cells and matched lymph node metastatic (LN1) cells. Distinct omics profiles were associated with the metastatic phenotype, including 670 proteins, 217 miRNAs, 26 metabolites, and 63 lipids differentially abundant between LN1 cell- and SCC-9 cell-derived EVs. A multi-omics integration identified 11 'hub proteins' significantly decreased at the metastatic site compared with primary tumor-derived EVs. We confirmed the validity of these findings with analysis of data from multiple public databases and found that low abundance of seven 'hub proteins' in EVs from metastatic lymph nodes (ALDH7A1, CAD, CANT1, GOT1, MTHFD1, PYGB, and SARS) is correlated with reduced survival and tumor aggressiveness in patients with cancer. In summary, this multi-omics approach identified proteins transported by EVs that are associated with metastasis and which may potentially serve as prognostic markers in OSCC.
口腔鳞状细胞癌(OSCC)死亡率高,主要与淋巴结转移有关。然而,驱动 OSCC 转移的分子机制尚不清楚。细胞外囊泡(EVs)是一种膜结合颗粒,在细胞间通讯中发挥作用,并影响癌症的发生和发展。因此,对 EVs 进行分析将对破译其在 OSCC 转移中的作用具有重要意义。为此,我们采用简化方法对源自人原发性肿瘤(SCC-9)细胞和匹配的淋巴结转移性(LN1)细胞的 EVs 的蛋白质组学、miRNA、代谢组学和脂质组学图谱进行了分析。不同的组学图谱与转移表型相关,包括 LN1 细胞衍生的 EVs 和 SCC-9 细胞衍生的 EVs 之间差异丰富的 670 种蛋白质、217 种 miRNA、26 种代谢物和 63 种脂质。多组学整合确定了 11 个在转移性部位与原发性肿瘤衍生的 EVs 相比显著减少的“枢纽蛋白”。我们通过分析来自多个公共数据库的数据验证了这些发现的有效性,发现转移性淋巴结中 EVs 中七种“枢纽蛋白”(ALDH7A1、CAD、CANT1、GOT1、MTHFD1、PYGB 和 SARS)的低丰度与癌症患者的生存和肿瘤侵袭性降低相关。总之,这种多组学方法鉴定了与转移相关的由 EV 转运的蛋白质,这些蛋白质可能作为 OSCC 的预后标志物。