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利用最短路径算法和蛋白质-蛋白质相互作用网络鉴定胃癌相关基因。

Identifying gastric cancer related genes using the shortest path algorithm and protein-protein interaction network.

机构信息

Colorectal Surgery Department, China-Japan Union Hospital of Jilin University, Changchun 130033, China.

State Key Laboratory of Medical Genomics, Institute of Health Sciences, Chinese Academy of Sciences, Shanghai Jiao Tong University School of Medicine and Shanghai Institutes for Biological Sciences, Shanghai 200025, China.

出版信息

Biomed Res Int. 2014;2014:371397. doi: 10.1155/2014/371397. Epub 2014 Mar 5.

DOI:10.1155/2014/371397
PMID:24729971
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3963223/
Abstract

Gastric cancer, as one of the leading causes of cancer related deaths worldwide, causes about 800,000 deaths per year. Up to now, the mechanism underlying this disease is still not totally uncovered. Identification of related genes of this disease is an important step which can help to understand the mechanism underlying this disease, thereby designing effective treatments. In this study, some novel gastric cancer related genes were discovered based on the knowledge of known gastric cancer related ones. These genes were searched by applying the shortest path algorithm in protein-protein interaction network. The analysis results suggest that some of them are indeed involved in the biological process of gastric cancer, which indicates that they are the actual gastric cancer related genes with high probability. It is hopeful that the findings in this study may help promote the study of this disease and the methods can provide new insights to study various diseases.

摘要

胃癌是全球导致癌症死亡的主要原因之一,每年导致约 80 万人死亡。到目前为止,这种疾病的发病机制尚未完全揭示。鉴定与该疾病相关的基因是一个重要的步骤,有助于了解该疾病的发病机制,从而设计有效的治疗方法。在这项研究中,基于已知的胃癌相关基因的知识,发现了一些新的胃癌相关基因。这些基因是通过在蛋白质-蛋白质相互作用网络中应用最短路径算法搜索到的。分析结果表明,其中一些基因确实参与了胃癌的生物学过程,这表明它们是实际的胃癌相关基因,具有很高的可能性。希望本研究的发现可以帮助促进对该疾病的研究,并且该方法可以为研究各种疾病提供新的见解。

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