Li Wen, Zhang Qian, Wang Xiaobin, Wang Hanlin, Zuo Wenxin, Xie Hongliang, Tang Jianming, Wang Mengmeng, Zeng Zhipeng, Cai Wanxia, Tang Donge, Dai Yong
Carson International Cancer Centre, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Centre, Shenzhen University, 1098 Xueyuan Road, Shenzhen, Guangdong 518000, China.
Key Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
ACS Omega. 2021 Jul 16;6(29):18623-18634. doi: 10.1021/acsomega.1c01270. eCollection 2021 Jul 27.
Adenoid cystic carcinoma (ACC) belongs to salivary gland malignancies commonly occurring in an oral cavity with a poor long-term prognosis. The potential biomarkers and cellular functions acting on local recurrences and distant metastases remain to be illustrated. Proteomics is the core content of precision medicine research, which provides accurate information for early detection of cancer, benign and malignant diagnosis, classification and personalized medication, efficacy monitoring, and prognosis judgment. To obtain a comprehensive regulation network and supply clues for the treatment of oral ACC (OACC), we utilized mass spectrometry-based quantitative proteomics to analyze the protein expression profile in paired tumor and adjacent normal tissues. We identified a total of 40,547 specific peptides and 4454 differentially expressed proteins (DEPs), in which HAPLN1 was the most upregulated protein and BPIFB1 was the most downregulated. Then, we annotated the functions and characteristics of DEPs in detail from the aspects of gene ontology, subcellular structural localization, KEGG, and protein domain to thoroughly understand the identified and quantified proteins. Glycosphingolipid biosynthesis and glycosaminoglycan degradation pathways showed the biggest difference according to KEGG analysis. Moreover, we confirmed 20 proteins from the ECM-receptor signaling pathway by a parallel reaction monitoring quantitative detection and 19 proteins were quantified. This study provides useful insights to analyze DEPs in OACC and guide in-depth thinking of the pathogenesis from a proteomics view for anticancer mechanisms and potential biomarkers.
腺样囊性癌（ACC）属于唾液腺恶性肿瘤，常见于口腔，长期预后较差。作用于局部复发和远处转移的潜在生物标志物及细胞功能仍有待阐明。蛋白质组学是精准医学研究的核心内容，可为癌症的早期检测、良恶性诊断、分类及个性化用药、疗效监测和预后判断提供准确信息。为获得全面的调控网络并为口腔腺样囊性癌（OACC）的治疗提供线索，我们利用基于质谱的定量蛋白质组学分析配对肿瘤组织和癌旁正常组织中的蛋白质表达谱。我们共鉴定出40547条特异性肽段和4454个差异表达蛋白（DEP），其中HAPLN1是上调最明显的蛋白，BPIFB1是下调最明显的蛋白。然后，我们从基因本体论、亚细胞结构定位、KEGG和蛋白质结构域等方面详细注释了DEP的功能和特征，以全面了解已鉴定和定量的蛋白质。根据KEGG分析，糖鞘脂生物合成和糖胺聚糖降解途径差异最大。此外，我们通过平行反应监测定量检测对细胞外基质受体信号通路中的20种蛋白质进行了确认，其中19种蛋白质得到了定量。本研究为分析OACC中的DEP提供了有用的见解，并从蛋白质组学角度为抗癌机制和潜在生物标志物的发病机制深入思考提供了指导。
