Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis
Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis
复制标题
基于生物信息学分析的肾上腺皮质癌关键生物标志物筛选与鉴定
DOI：
10.3892/ol.2019.10817
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发表时间：
2019-09
期刊：
影响因子：
--
通讯作者：
Xinghuan Liang
中科院分区：
文献类型：
--
作者：
Zengmiao Xing;Zuojie Luo;Haiyan Yang;Zhenxing Huang;Xinghuan Liang
肾上腺皮质癌（ACC）是一种罕见的恶性肿瘤，预后较差。目前对 ACC 发病机制的了解并不完整，并且 ACC 患者的治疗选择有限。为了准确、及时地诊断疾病，需要基因标记识别。为了鉴定与 ACC 发生和进展相关的新候选基因，从 Gene Expression Omnibus 获得了微阵列数据集 GSE12368 和 GSE19750。鉴定差异表达基因（DEG），并进行功能富集分析。构建了蛋白质-蛋白质相互作用网络（PPI）来识别显着改变的模块，并使用用于检索相互作用基因的搜索工具和 Cytoscape 进行模块分析。共筛选出228个DEG，其中29个上调基因和199个下调基因。 DEG丰富的功能和通路主要包括“细胞分裂”、“有丝分裂细胞周期G1/S转变涉及的转录调控”、“有丝分裂细胞周期G1/S转变”、“p53信号通路”和“卵母细胞减数分裂”。总共鉴定出14个枢纽基因，生物过程分析表明这些基因在细胞分裂和有丝分裂细胞周期中显着富集。此外，生存分析显示AURKA、TYMS、GINS1、RACGAP1、RRM2、EZH2、ZWINT、CDK1、CCNB1、NCAPG和TPX2可能参与ACC的肿瘤发生、进展或预后。总之，本研究中鉴定的14个中心基因可能有助于研究人员阐明与ACC肿瘤发生和进展相关的分子机制，并可能成为ACC诊断和治疗的强大且有前途的候选生物标志物。
Adrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. The presently available understanding of the pathogenesis of ACC is incomplete and the treatment options for patients with ACC are limited. Gene marker identification is required for accurate and timely diagnosis of the disease. In order to identify novel candidate genes associated with the occurrence and progression of ACC, the microarray datasets, GSE12368 and GSE19750, were obtained from Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction network (PPI) was constructed to identify significantly altered modules, and module analysis was performed using Search Tool for the Retrieval of Interacting Genes and Cytoscape. A total of 228 DEGs were screened, consisting of 29 up and 199 downregulated genes. The enriched functions and pathways of the DEGs primarily included ‘cell division’, ‘regulation of transcription involved in G1/S transition of mitotic cell cycle’, ‘G1/S transition of mitotic cell cycle’, ‘p53 signaling pathway’ and ‘oocyte meiosis’. A total of 14 hub genes were identified, and biological process analysis revealed that these genes were significantly enriched in cell division and mitotic cell cycle. Furthermore, survival analysis revealed that AURKA, TYMS, GINS1, RACGAP1, RRM2, EZH2, ZWINT, CDK1, CCNB1, NCAPG and TPX2 may be involved in the tumorigenesis, progression or prognosis of ACC. In conclusion, the 14 hub genes identified in the present study may aid researchers in elucidating the molecular mechanisms associated with the tumorigenesis and progression of ACC, and may be powerful and promising candidate biomarkers for the diagnosis and treatment of ACC.
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影响因子：
7.3
作者：
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者：
Schultz N
DOI：
--
发表时间：
2003-04
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Y. Mizutani;H. Wada;O. Yoshida;M. Fukushima;M. Nonomura;M. Nakao;T. Miki
通讯作者：
Y. Mizutani;H. Wada;O. Yoshida;M. Fukushima;M. Nonomura;M. Nakao;T. Miki
影响因子：
2.1
作者：
Dworakowska, Dorota;Drabarek, Agata;Sworczak, Krzysztof
通讯作者：
Sworczak, Krzysztof
影响因子：
--
作者：
Zhang, Jingyao;Wu, Qifei;Liu, Chang
通讯作者：
Liu, Chang
影响因子：
4.6
作者：
Woo Seo D;Yeop You S;Chung WJ;Cho DH;Kim JS;Su Oh J
通讯作者：
Su Oh J