Department of General Surgery, Peking University Third Hospital, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing 100191, China.
Medical and Health Analytical Center, Peking University Health Science Center, Beijing 100191, China.
Mol Omics. 2021 Apr 19;17(2):230-240. doi: 10.1039/d0mo00125b.
Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis largely owing to its inefficient diagnosis, rapid progress, and tenacious drug resistance. Here, we aimed to analyze the expressive patterns of proteins and phosphorylation in PDAC tissue samples and compare them to normal pancreatic tissue to investigate the underlying mechanisms and to reveal potential protein targets for diagnosis and drug development. Liquid chromatography coupled to mass spectrometry (LC-MS) based proteomics and phosphoproteomics analyses were performed using 20 pairs of patient-derived PDAC tissue and normal pancreatic tissue samples. Protein identification and quantification were conducted using MaxQuant software. Bioinformatics analysis was used to retrieve PDAC-relevant pathways and gene ontology (GO) terms. 4985 proteins and 3643 phosphoproteins were identified with high confidence; of these, 322 proteins and 235 phosphoproteins were dysregulated in PDAC. Several pathways, including several extracellular matrix-related pathways, were found to be strongly associated with PDAC. Further, the expression levels of filamin A (FLNA), integrin alpha-V (ITGAV), thymidine phosphorylase (TYMP), medium-chain specific acyl-CoA dehydrogenase, mitochondrial (ACADM), short-chain specific acyl-CoA dehydrogenase, mitochondrial (ACADS), and acetyl-CoA acetyltransferase, mitochondrial (ACAT1) were examined through western blot and immunohistochemistry analysis, and the results confirmed the validity of the proteomics analysis results. These findings provide comprehensive insight into the dysregulated regulative networks in PDAC tissue samples at the protein and phosphorylation levels, and they provide clues for further pathological studies and drug-target development.
胰腺导管腺癌(PDAC)预后极差,主要归因于其诊断效率低下、进展迅速和耐药性强。在这里,我们旨在分析 PDAC 组织样本中的蛋白质和磷酸化表达模式,并将其与正常胰腺组织进行比较,以研究潜在的机制并揭示潜在的蛋白质诊断和药物开发靶点。使用 20 对患者来源的 PDAC 组织和正常胰腺组织样本进行基于液相色谱与质谱联用(LC-MS)的蛋白质组学和磷酸化蛋白质组学分析。使用 MaxQuant 软件进行蛋白质鉴定和定量。生物信息学分析用于检索与 PDAC 相关的途径和基因本体(GO)术语。高可信度地鉴定了 4985 种蛋白质和 3643 种磷酸化蛋白质;其中,322 种蛋白质和 235 种磷酸化蛋白质在 PDAC 中失调。发现包括几个细胞外基质相关途径在内的几个途径与 PDAC 密切相关。此外,通过 Western blot 和免疫组织化学分析检查了细丝蛋白 A(FLNA)、整合素 alpha-V(ITGAV)、胸苷磷酸化酶(TYMP)、中链特异性酰基辅酶 A 脱氢酶、线粒体(ACADM)、短链特异性酰基辅酶 A 脱氢酶、线粒体(ACADS)和乙酰辅酶 A 乙酰转移酶,线粒体(ACAT1)的表达水平,结果证实了蛋白质组学分析结果的有效性。这些发现提供了对 PDAC 组织样本中蛋白质和磷酸化水平上失调调控网络的全面了解,并为进一步的病理研究和药物靶点开发提供了线索。