Mohri Yasuhiko, Toiyama Yuji, Kusunoki Masato
a Department of Gastrointestinal and Pediatric Surgery , Mie University Graduate School of Medicine , Mie , Japan.
Expert Rev Proteomics. 2016 Dec;13(12):1131-1139. doi: 10.1080/14789450.2016.1249469. Epub 2016 Oct 31.
Patient outcomes from gastric cancer vary due to the complexity of stomach carcinogenesis. Recent research using proteomic technologies has targeted components of all of these systems in order to develop biomarkers to aid the early diagnosis of gastric cancer and to assist in prognostic stratification. Areas covered: This review is comprised of evidence obtained from literature searches from PubMed. It covers the evidence of diagnostic, prognostic, and predictive biomarkers for gastric cancer using proteomic technologies, and provides up-to-date references. Expert commentary: The proteomic technologies have not only enabled the screening of a large number of samples, but also enabled the identification of diagnostic, prognostic and predictive biomarkers for gastric cancer. While major challenges still remain, to date, proteomic studies in gastric cancer have provided a wealth of information in revealing proteome alterations associated with the disease.
由于胃癌发生机制的复杂性,胃癌患者的预后各不相同。近期利用蛋白质组学技术开展的研究针对所有这些系统的组成部分,以开发有助于胃癌早期诊断和辅助预后分层的生物标志物。涵盖领域:本综述包含从PubMed文献检索中获得的证据。它涵盖了利用蛋白质组学技术鉴定胃癌诊断、预后和预测生物标志物的证据,并提供了最新参考文献。专家评论:蛋白质组学技术不仅能够筛查大量样本,还能够鉴定胃癌的诊断、预后和预测生物标志物。尽管仍然存在重大挑战,但迄今为止,胃癌蛋白质组学研究在揭示与该疾病相关的蛋白质组改变方面提供了丰富信息。