Liu Wenhu, Wang Qiang, Chang Jinxia
School of Basic Medical Sciences, North Sichuan Medical College Nanchong 637100 China
School of Pharmacy, North Sichuan Medical College Nanchong 637100 China.
RSC Adv. 2019 Dec 13;9(70):41192-41208. doi: 10.1039/c9ra06607a. eCollection 2019 Dec 9.
Resistance mechanism exploration has become an urgent need owing to the widespread trastuzumab resistance in gastric cancer. In this study, UHPLC-Q exactive MS/MS was carried out to characterize the metabolic profiles of human gastric cancer cell lines NCI N87, MKN45 (trastuzumab-sensitive) and NCI N87/R, MKN45/R (trastuzumab-resistant), respectively. Metabolic signatures and different metabolites were identified using multivariate in combination with univariate analysis. Integrated pathway enrichment analysis was executed using MetaboAnalyst and KEGG metabolic libraries to analyze the altered metabolic pathways in trastuzumab resistant cells. A total of 79 and 75 different metabolites were positively identified by utilizing authentic standards in NCI N87/R and MKN45/R cells, respectively. Furthermore, enrichment analysis demonstrated that seven metabolic pathways in NCI N87/R cells and five in MKN45/R cells were significantly changed. These pathways are involved in amino acid, nucleotide, carbohydrate, cofactor and vitamin metabolism, of which alanine, aspartate and glutamate metabolism displayed the highest pathway impact and lower value both in NCI N87/R and MKN45/R cells. Moreover, we constructed a metabolomics-proteomics network between substantially altered metabolites and target genes which revealed citrate being regulated by citrate synthase and ACLY, while proline regulation was due to EPRS, PYCRL and PYCR1/2, respectively. Overall, our findings disclose prominent alterations of metabolic signatures in NCI N87/R and MKN45/R cells when compared with the parent cells which are crucial for understanding of underlying mechanisms of resistance and for developing strategies to overcome trastuzumab resistance.
由于胃癌中曲妥珠单抗耐药的广泛存在,耐药机制探索已成为迫切需求。在本研究中,分别采用超高效液相色谱-高分辨质谱联用技术(UHPLC-Q exactive MS/MS)对人胃癌细胞系NCI N87、MKN45(曲妥珠单抗敏感)以及NCI N87/R、MKN45/R(曲妥珠单抗耐药)的代谢谱进行表征。使用多变量分析结合单变量分析来鉴定代谢特征和不同的代谢物。利用MetaboAnalyst和KEGG代谢库进行综合通路富集分析,以分析曲妥珠单抗耐药细胞中改变的代谢通路。在NCI N87/R和MKN45/R细胞中,分别利用标准品成功鉴定出79种和75种不同的代谢物。此外,富集分析表明,NCI N87/R细胞中的7条代谢通路和MKN45/R细胞中的5条代谢通路发生了显著变化。这些通路涉及氨基酸、核苷酸、碳水化合物、辅因子和维生素代谢,其中丙氨酸、天冬氨酸和谷氨酸代谢在NCI N87/R和MKN45/R细胞中均显示出最高的通路影响和较低的P值。此外,我们构建了一个代谢组学-蛋白质组学网络,该网络揭示了柠檬酸受柠檬酸合酶和ACLY调节,而脯氨酸的调节分别归因于EPRS、PYCRL和PYCR1/2。总体而言,我们的研究结果揭示了NCI N87/R和MKN45/R细胞与亲本细胞相比代谢特征的显著改变,这对于理解耐药的潜在机制以及制定克服曲妥珠单抗耐药的策略至关重要。