Osório Hugo, Silva Cátia, Ferreira Marta, Gullo Irene, Máximo Valdemar, Barros Rita, Mendonça Fernando, Oliveira Carla, Carneiro Fátima
i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.
Ipatimup-Institute of Molecular Pathology and Immunology of the University of Porto, University of Porto, 4200-135 Porto, Portugal.
J Clin Med. 2021 Jan 21;10(3):407. doi: 10.3390/jcm10030407.
Proteomics is a powerful approach to study the molecular mechanisms of cancer. In this study, we aim to characterize the proteomic profile of gastric cancer (GC) in patients with diabetes mellitus (DM) type 2. Forty GC tissue samples including 19 cases from diabetic patients and 21 cases from individuals without diabetes (control group) were selected for the proteomics analysis. Gastric tissues were processed following the single-pot, solid-phase-enhanced sample preparation approach-SP3 and enzymatic digestion with trypsin. The resulting peptides were analyzed by LC-MS Liquid Chromatography-Mass Spectrometry (LC-MS). The comparison of protein expression levels between GC samples from diabetic and non-diabetic patients was performed by label-free quantification (LFQ). A total of 6599 protein groups were identified in the 40 samples. Thirty-seven proteins were differentially expressed among the two groups, with 16 upregulated and 21 downregulated in the diabetic cohort. Statistical overrepresentation tests were considered for different annotation sets including the Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Disease functional databases. Upregulated proteins in the GC samples from diabetic patients were particularly enriched in respiratory electron transport and alcohol metabolic biological processes, while downregulated proteins were associated with epithelial cancers, intestinal diseases, and cell-cell junction cellular components. Taken together, these results support the data already obtained by previous studies that associate diabetes with metabolic disorders and diabetes-associated diseases, such as Alzheimer's and Parkinson's, and also provide valuable insights into seven GC-associated protein targets, claudin-3, polymeric immunoglobulin receptor protein, cadherin-17, villin-1, transglutaminase-2, desmoglein-2, and mucin-13, which warrant further investigation.
蛋白质组学是研究癌症分子机制的一种强大方法。在本研究中,我们旨在描绘2型糖尿病(DM)患者胃癌(GC)的蛋白质组学特征。选取了40份GC组织样本,其中包括19例糖尿病患者的样本和21例非糖尿病个体(对照组)的样本,用于蛋白质组学分析。胃组织按照单罐、固相增强样品制备方法-SP3进行处理,并用胰蛋白酶进行酶解。所得肽段通过液相色谱-质谱联用(LC-MS)进行分析。通过无标记定量(LFQ)对糖尿病和非糖尿病患者的GC样本之间的蛋白质表达水平进行比较。在40个样本中共鉴定出6599个蛋白质组。两组之间有37种蛋白质差异表达,糖尿病队列中有16种上调,21种下调。对包括基因本体论(GO)、京都基因与基因组百科全书(KEGG)、Reactome和疾病功能数据库在内的不同注释集进行了统计过度表达测试。糖尿病患者GC样本中上调的蛋白质特别富集于呼吸电子传递和酒精代谢生物学过程,而下调的蛋白质与上皮癌、肠道疾病和细胞间连接细胞成分相关。综上所述,这些结果支持了先前研究已经获得的数据,这些数据将糖尿病与代谢紊乱以及糖尿病相关疾病(如阿尔茨海默病和帕金森病)联系起来,并且还为七个与GC相关的蛋白质靶点(紧密连接蛋白-3、多聚免疫球蛋白受体蛋白、钙黏蛋白-17、绒毛蛋白-1、转谷氨酰胺酶-2、桥粒芯糖蛋白-2和黏蛋白-13)提供了有价值的见解,这些靶点值得进一步研究。