Integrated Bioinformatics Analysis for Identification of the Hub Genes Linked with Prognosis of Ovarian Cancer Patients.

Integrated Bioinformatics Analysis for Identification of the Hub Genes Linked with Prognosis of Ovarian Cancer Patients.
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DOI:
10.1155/2022/5113447
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发表时间:
2022
影响因子:
--
通讯作者:
Ji L
Ji L
中科院分区:
工程技术4区
文献类型:
--
作者:
Li X;Wang Q;Wu Z;Zheng J;Ji L

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卵巢癌是妇科最常见的肿瘤状态之一,也是全球妇科肿瘤相关死亡率的主要原因。与卵巢癌相关的风险因素有很多,比如过去与乳腺癌或卵巢癌相关的病例背景,或体重过重的问题,吸烟史,以及月经或更年期过早。由于表达不清,超过70%的卵巢癌患者病例在早期就被确诊。材料和方法。GSE38666、GSE40595和GSE66957是三个微阵列数据集,使用GEO2R分析以筛选差异表达基因。中心基因分析采用GO、京都基因百科全书和蛋白表达研究。然后,对所有中心基因进行生存分析。从数据集中,共鉴定出199个差异表达基因(DEGs)。通过KEGG通路研究发现,deg主要与AGE-RAGE信号通路、中枢碳代谢和人乳头瘤病毒感染有关。生存分析显示,4个高表达的枢纽基因COL4A1、SDC1、CDKN2A、TOP2A与卵巢癌患者的总生存相关。此外,通过GEPIA数据库和Human Protein Atlas对4个枢纽基因的表达进行了验证。结果表明,4个hub基因在卵巢癌组织中均表达上调,预示着卵巢癌患者预后不良。
One of the most usual gynecological state of tumor is ovarian cancer and is a major reason of gynecological tumor-related global mortality rate. There have been multiple risk elements related to ovarian cancer like the background of past cases associated with breast cancer or ovarian cancer, or excessive body weight issues, case history of smoking, and untimely menstruation or menopause. Because of unclear expressions, more than 70% of the ovarian cancer patient cases are determined during the early stage. Material and Methods. GSE38666, GSE40595, and GSE66957 were the three microarray datasets which were analyzed using GEO2R for screening the differentially expressed genes. GO, Kyoto Encyclopedia of Genes, and protein expression studies were performed for analysis of hub genes. Then, survival analysis was performed for all the hub genes. From the dataset, a total of 199 differentially expressed genes (DEGs) were identified. Through the KEGG pathway study, it was noted that the DEGs are mainly linked with the AGE-RAGE signaling pathway, central carbon metabolism, and human papillomavirus infection. The survival analysis showed 4 highly expressed hub genes COL4A1, SDC1, CDKN2A, and TOP2A which correlated with overall survival in ovarian cancer patients. Moreover, the expression of the 4 hub genes was validated by the GEPIA database and the Human Protein Atlas. The results have shown that all 4 hub genes were found to be upregulated in ovarian cancer tissues which predict poor prognosis in patients with ovarian cancer.
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