基于蛋白质相互作用网络的肺癌骨转移基因识别方法  

Method for Identifying Genes Involved in Lung Cancer Bone Metastasis Based on Protein-Protein Interaction Network

作　　者：杨天濠 王新赠 YANG Tianhao;WANG Xinzeng(College of Computer Science and Technology,China University of Petroleum,Qingdao 266580;College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao 266580)

机构地区：[1]中国石油大学(华东)计算机科学与技术学院,青岛266580 [2]山东科技大学数学与系统科学学院,青岛266580

出　　处：《计算机与数字工程》2023年第5期1108-1112,共5页Computer & Digital Engineering

摘　　要：肿瘤转移通常发生在癌症晚期,是一个复杂且致命的过程,发现与肿瘤转移相关的基因对肿瘤的治疗和预后有着至关重要的作用。通过计算方法发现肿瘤转移基因,相对于昂贵且耗时的生物学方更加高效。基于蛋白质-蛋白质相互作用网络(PPIN),论文提出了一种结合随机游动重启(RWR)算法的模型来识别肺癌骨转移相关基因。此外,通过置换检验规则、交互得分规则和富集分析三种方法对基因进一步筛选,最终获得了12个与肺癌骨转移有关的关键基因。文献挖掘的结果证明大部分基因直接或间接参与了肺癌骨转移过程,验证了该计算方法的有效性。这一项工作有望为肿瘤转移的临床试验提供靶标基因。Tumor metastasis usually occurs in the late stage of cancer,which is a complicated and lethal process.The identification of the genes associated with tumor metastasis plays a crucial role in the therapy and prognosis of cancer.Compared with the expensive and time-consuming biological methods,it is more effective to find tumor metastasis-related genes through computational methods.Based on the protein-protein interaction network(PPIN),an integrated model using random walk with restart(RWR)algorithm is proposed to identify genes involved in lung cancer bone metastasis.In addition,those genes are further screened by three methods,which are permutation test,interaction test and enrichment test.Finally,12 potential key genes for lung cancer bone metastasis are obtained.The results of literature review indicate that most of the inferred genes are directly or indirectly contribute to the process of lung cancer bone metastasis,thereby suggesting the effectiveness of our method.This work is expected to provide target genes for clinical trials of tumor metastasis.

关 键 词：肿瘤细胞转移 肺癌骨转移 蛋白质相互作用网络 随机游走重启算法 

分 类 号：R319[医药卫生—基础医学]