Identification of 14 Differentially-Expressed Metabolism-Related Genes as Potential Targets of Gastric Cancer by Integrated Proteomics and Transcriptomics.
Identification of 14 Differentially-Expressed Metabolism-Related Genes as Potential Targets of Gastric Cancer by Integrated Proteomics and Transcriptomics.
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综合蛋白质组学和转录组学鉴定 14 个差异表达的代谢相关基因作为胃癌的潜在靶点
DOI：
10.3389/fcell.2022.816249
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发表时间：
2022
影响因子：
5.5
通讯作者：
Song W
中科院分区：
文献类型：
--
作者：
Zhang Y;Liu W;Feng W;Wang X;Lei T;Chen Z;Song W
虽然对胃癌代谢相关的研究逐渐引起人们的兴趣，但对胃癌代谢相关基因的研究却很少。了解GC中代谢相关基因在转录和蛋白水平上的特征变化将有助于我们发现新的生物标志物和新的治疗靶点。我们从GC患者中收集了6对样本，并使用基于质谱的蛋白质组学评估了差异表达蛋白。同时进行RNA测序，检测相应mrna的表达，并通过生物信息学分析揭示显著差异表达基因的相关性。在蛋白质组学和转录组学中，共有57个基因被观察到失调。生物信息学分析表明，这些差异表达基因与调节代谢活性显著相关。此外，14个代谢基因被确定为GC患者的潜在靶点，并与免疫细胞浸润有关。此外，我们发现支链氨基酸转氨酶2 （BCAT2）的失调与GC患者的总生存时间有关，BCAT2是14个差异表达的代谢相关基因之一。我们相信这项研究为更好地理解胃癌转移的机制提供了全面的信息，并探索了胃癌潜在的治疗和预后代谢相关靶点。
Although research on the metabolism related to gastric cancer (GC) is gradually gaining increasing interest, there are few studies regarding metabolism-related genes in GC. Understanding the characteristic changes of metabolism-related genes at the transcriptional and protein levels in GC will help us to identify new biomarkers and novel therapeutic targets. We harvested six pairs of samples from GC patients and evaluated the differentially expressed proteins using mass spectrometry-based proteomics. RNA sequencing was conducted simultaneously to detect the corresponding expression of mRNAs, and bioinformatics analysis was used to reveal the correlation of significant differentially expressed genes. A total of 57 genes were observed to be dysregulated both in proteomics and transcriptomics. Bioinformatics analysis showed that these differentially expressed genes were significantly associated with regulating metabolic activity. Further, 14 metabolic genes were identified as potential targets for GC patients and were related to immune cell infiltration. Moreover, we found that dysregulation of branched-chain amino acid transaminase 2 (BCAT2), one of the 14 differentially expressed metabolism-related genes, was associated with the overall survival time in GC patients. We believe that this study provides comprehensive information to better understand the mechanism underlying the progression of GC metastasis and explores the potential therapeutic and prognostic metabolism-related targets for GC.
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影响因子：
3.8
作者：
Cao Y;Feng Y;Zhang Y;Zhu X;Jin F
通讯作者：
Jin F
影响因子：
3.7
作者：
Gannon PO;Godin-Ethier J;Hassler M;Delvoye N;Aversa M;Poisson AO;Péant B;Alam Fahmy M;Saad F;Lapointe R;Mes-Masson AM
通讯作者：
Mes-Masson AM
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13.8
作者：
Liberti MV;Locasale JW
通讯作者：
Locasale JW
影响因子：
9.9
作者：
Gaglio, Daniela;Metallo, Christian M.;Chiaradonna, Ferdinando
通讯作者：
Chiaradonna, Ferdinando
影响因子：
64.5
作者：
Ho PC;Bihuniak JD;Macintyre AN;Staron M;Liu X;Amezquita R;Tsui YC;Cui G;Micevic G;Perales JC;Kleinstein SH;Abel ED;Insogna KL;Feske S;Locasale JW;Bosenberg MW;Rathmell JC;Kaech SM
通讯作者：
Kaech SM