Network-Based Differential Analysis to Identify Molecular Features of Tumorigenesis for Esophageal Squamous Carcinoma.
Network-Based Differential Analysis to Identify Molecular Features of Tumorigenesis for Esophageal Squamous Carcinoma.
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基于网络的差异分析识别食管鳞癌肿瘤发生的分子特征
DOI：
10.3390/molecules23010088
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发表时间：
2018-01-01
期刊：
影响因子：
--
通讯作者：
Pan L
中科院分区：
文献类型：
--
作者：
Jiang S;Zhang Q;Su Y;Pan L
食道癌在世界范围内预后差，死亡率高。由于人们对食道癌发病机制的认识有限，阻碍了食道癌的诊断和治疗。食道癌有两种主要亚型，鳞癌和腺癌。在这项工作中，我们提出了一种基于食管鳞癌基因-基因相互作用网络与正常细胞之间的拓扑差异分析来选择食管鳞癌候选生物标记物的方法。根据基因间的相关性，建立了食管鳞癌与正常对照的基因-基因相互作用网络。对于每个基因，我们首先计算并比较了反映网络拓扑性质的五个中心性度量。根据5个中心性度量，将两个网络差异较大的基因作为食管鳞癌的候选生物标记物。共有21个候选生物标记物被确定为食管鳞癌的候选生物标记物，其中7个已被先前的研究证实为食管鳞癌的生物标记物。此外，6个基因(RBPMS2、PDK4、IGK、SBSN、IFIT3和HSPB6)可能是食管鳞癌发生的生物标志物，因为它们参与的生物学过程与食管鳞癌的发生密切相关。统计分析表明，所检测的食管鳞癌生物标志物的有效性。该方法可以推广到其他复杂疾病，以检测致病的分子特征和靶向治疗。
Esophageal cancer has a poor prognosis and high mortality rate across the world. The diagnosis and treatment of esophageal cancer are hindered by the limited knowledge about the pathogenesis mechanisms of esophageal cancer. Esophageal cancer has two major subtypes, squamous and adenocarcinoma. In this work, we proposed a method to select candidate biomarkers of esophageal squamous carcinoma based on the topological differential analysis between the gene–gene interaction networks for esophageal squamous carcinoma and normal cells. We established the gene–gene interaction networks for esophageal squamous carcinoma and normal based on the correlation of genes. For each gene, we firstly calculated and compared five centrality measures, which could reflect the topological property of a network. According to five centrality measures, the genes with large differences between the two networks were regarded as candidate biomarkers for esophageal squamous carcinoma. A total of 21 candidate biomarkers were identified for esophageal squamous carcinoma, and seven of them have been confirmed to be biomarkers of esophageal-12 squamous carcinoma by previous research. In addition, six genes (RBPMS2, PDK4, IGK, SBSN, IFIT3 and HSPB6) were likely to be the biomarkers of tumorigenesis for esophageal squamous carcinoma due to the fact that the biological processes in which they participate are closely related with the development of esophageal squamous carcinoma. Statistical analysis indicates that effectiveness of the detected biomarkers of esophageal squamous carcinoma. The proposed method could be extended to other complex diseases for detecting the molecular features of pathopoiesis and targets for targeted therapy.
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DOI：
10.12659/msm.897663
发表时间：
2016-10-23
期刊：
Medical science monitor : international medical journal of experimental and clinical research
影响因子：
--
作者：
Han Q;Zhang HY;Zhong BL;Wang XJ;Zhang B;Chen H
通讯作者：
Chen H
影响因子：
14.9
作者：
Kim MY;Koh DI;Choi WI;Jeon BN;Jeong DY;Kim KS;Kim K;Kim SH;Hur MW
通讯作者：
Hur MW
影响因子：
4.7
作者：
Li, Z;Szabolcs, M;Efstratiadis, A
通讯作者：
Efstratiadis, A
影响因子：
28.2
作者：
Esteller M;Pandolfi PP
通讯作者：
Pandolfi PP
DOI：
10.1158/1055-9965.epi-13-1329
发表时间：
2014-08
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Li WQ;Hu N;Burton VH;Yang HH;Su H;Conway CM;Wang L;Wang C;Ding T;Xu Y;Giffen C;Abnet CC;Goldstein AM;Hewitt SM;Taylor PR
通讯作者：
Taylor PR