CENPA 在肝癌发展中的致癌作用：来自生物信息学分析的证据。
The Oncogenic Role of CENPA in Hepatocellular Carcinoma Development: Evidence from Bioinformatic Analysis.
机构信息
Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Department of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100007, China.
出版信息
Biomed Res Int. 2020 Apr 8;2020:3040839. doi: 10.1155/2020/3040839. eCollection 2020.
OBJECTIVE
This study is aimed at investigating the predictive value of CENPA in hepatocellular carcinoma (HCC) development.
METHODS
Using integrated bioinformatic analysis, we evaluated the CENPA mRNA expression in tumor and adjacent tissues and correlated it with HCC survival and clinicopathological features. A Cox regression hazard model was also performed.
RESULTS
CENPA mRNA was significantly upregulated in tumor tissues compared with that in adjacent tissues, which were validated in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) series (all < 0.01). In the Kaplan-Meier plotter platform, the high level of CENPA mRNA was significantly correlated with overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), and progression-free survival (PFS) in HCC patients (all log rank < 0.01). For validation in GSE14520 and pan-TCGA dataset, HCC patients with CNEPA mRNA overexpression had poor OS compared with those with low CENPA mRNA (log rank = 0.025 and < 0.0001, respectively), and those with high CENPA had poor DFS in TCGA (log rank = 0.0001). Additionally, CENPA mRNA were upregulated in HCC patients with alpha-fetoprotein (AFP) elevation, advanced TNM stage, larger tumor size, advanced AJCC stage, advanced pathology grade, and vascular invasion (all < 0.05). A Cox regression model including CENPA, OIP5, and AURKB could predict OS in HCC patients effectively (AUC = 0.683).
CONCLUSION
Overexpressed in tumors, CENPA might be an oncogenic factor in the development of HCC patients.
目的
本研究旨在探讨着丝粒蛋白 A（CENPA）在肝细胞癌（HCC）发展中的预测价值。
方法
通过整合生物信息学分析，我们评估了肿瘤和相邻组织中 CENPA mRNA 的表达，并将其与 HCC 患者的生存和临床病理特征相关联。还进行了 Cox 回归风险模型分析。
结果
与相邻组织相比，肿瘤组织中 CENPA mRNA 显著上调，在 The Cancer Genome Atlas（TCGA）和 Gene Expression Omnibus（GEO）系列中均得到验证（均<0.01）。在 Kaplan-Meier 绘图器平台上，高 CENPA mRNA 水平与 HCC 患者的总生存期（OS）、无病生存期（DFS）、无复发生存期（RFS）和无进展生存期（PFS）显著相关（均 log rank <0.01）。在 GSE14520 和 pan-TCGA 数据集的验证中，CENPA mRNA 过表达的 HCC 患者的 OS 较差，与低 CENPA mRNA 相比（log rank 分别为 0.025 和<0.0001），在 TCGA 中，CENPA 高表达的患者 DFS 较差（log rank = 0.0001）。此外，在 AFP 升高、TNM 分期较晚、肿瘤较大、AJCC 分期较晚、病理分级较高和血管侵犯的 HCC 患者中，CENPA mRNA 上调（均<0.05）。包括 CENPA、OIP5 和 AURKB 的 Cox 回归模型可以有效地预测 HCC 患者的 OS（AUC = 0.683）。
结论
在肿瘤中过表达，CENPA 可能是 HCC 患者发展中的致癌因素。
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