Comprehensive analysis reveals a four-gene signature in colorectal cancer.
Comprehensive analysis reveals a four-gene signature in colorectal cancer.
复制标题
通过文本挖掘和数据分析确定心血管疾病的药物发现
DOI：
10.21037/tcr.2020.01.18
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发表时间：
2020-03
影响因子：
0.9
通讯作者：
Zhao Y
中科院分区：
文献类型：
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作者：
Zhao B;Wan Z;Zhang X;Zhao Y
结直肠癌（Colorectal cancer，CRC）是世界范围内主要的胃肠道恶性肿瘤之一。然而，目前的治疗方案并不总是有效的。本研究旨在鉴定和描述CRC中潜在的分子生物标志物和相关信号通路。从Gene Expression Omnibus网站上获得GSE 21510的基因表达谱，筛选出44个GSE 21510样本，以鉴定大肠癌组织和非癌组织中的差异表达基因（DEG）。随后进行功能和信号途径富集分析，构建DEG蛋白质-蛋白质相互作用（PPI）网络，并利用Cytoscape软件中的MCODE筛选枢纽基因。最后，我们在TCGA/GTEx数据库中建立的相关数据集，如结肠腺癌（COAD）和直肠腺癌（READ）中验证了这些枢纽基因的基因表达和总生存率分析。结果显示，共鉴定出166个上调基因和260个下调基因，符合以下标准：|log 2倍数变化|≥2且调整后的P值<0.01。在这里，我们确定了AURKA，BUB 1，DLGAP 5和HMMR，这与有丝分裂周期的相位转换和卵母细胞减数分裂途径的调节。这四个基因的研究结果可能有助于阐明这四个基因作为结直肠癌患者药物敏感治疗靶点的机制。
Colorectal cancer (CRC) is one of the major malignant diseases of the gastrointestinal system around the world. However, the current therapeutic regimens were not always effective. This study was designed to identify and depict potential molecular biomarkers and correlated signal pathways in CRC. The gene expression profiles of GSE21510 were obtained on the Gene Expression Omnibus website, we filtered out 44 samples from the GSE21510 to identify different expression genes (DEGs) between CRC tissues and noncancerous tissues. Subsequently, the function and signal pathways enrichment analyses were implemented, the protein-protein interaction (PPI) networks of DEGs were to be carried out, and the hub genes were screened by MCODE built in Cytoscape software. Lastly, we have validated gene expressions and overall survival analyses of these hub genes in related datasets, such as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ), built in TCGA/GTEx database. Results showed that a totally of 166 up-regulated genes and 260 down-regulated genes were identified and met the following criteria: |log2 fold change| ≥2 & adjusted P value <0.01. Here, we identified AURKA, BUB1, DLGAP5 and HMMR, which were associated with the regulation of mitotic cycle phase transition and oocyte meiosis pathways. The findings of these four genes in this study may shed light on the mechanisms of these four genes as drug-sensitive therapeutic targets for the patients of CRC.
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影响因子：
8.8
作者：
Goos, J. A. C. M.;Coupe, V. M. H.;Diosdado, B.;Diemen, P. M. Delis-Van;Karga, C.;Belien, J. A. M.;Carvalho, B.;van den Tol, M. P.;Verheul, H. M. W.;Geldof, A. A.;Meijer, G. A.;Hoekstra, O. S.;Fijneman, R. J. A.
通讯作者：
Fijneman, R. J. A.
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Rudnev D;Evangelista C;Kim IF;Soboleva A;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Edgar R
通讯作者：
Edgar R
DOI：
10.1093/bioinformatics/btq675
发表时间：
2011-02-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Smoot ME;Ono K;Ruscheinski J;Wang PL;Ideker T
通讯作者：
Ideker T
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ
影响因子：
168.9
作者：
通讯作者：
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