Highly expressed centromere protein L indicates adverse survival and associates with immune infiltration in hepatocellular carcinoma

Zhili Zeng,Xiao Jiang, Zhibin Pan,Ruisheng Zhou, Zhuangteng Lin, Ying Tang,Ying Cui,Enxin Zhang,Zebiao Cao

AGING-US(2021)

引用 5|浏览14
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摘要
Background: Hepatocellular carcinoma (HCC) is characterized by rapid progression, high recurrence rate and poor prognosis. Early prediction for the prognosis and immunotherapy efficacy is of great significance to improve the survival of HCC patients. However, there is still no reliable predictor at present. This study is aimed to explore the role of centromere protein L (CENPL) in predicting prognosis and its association with immune infiltration in HCC. Methods: The expression of CENPL was identified through analyzing the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data. The association between CENPL expression and clinicopathological features was investigated by the Wilcoxon signed-rank test or Kruskal Wallis test and logistic regression. The role of CENPL in prognosis was examined via Kaplan-Meier method and Log-rank test as well as univariate and multivariate Cox regression analysis. Besides, in TIMER and GEPIA database, we investigated the correlation between CENPL level and immunocyte and immunocyte markers, and the prognostic-related methylation sites in CENPL were identified by MethSurv. Results: CENPL had a high expression in HCC samples. Increased CENPL was prominently associated with unfavorable survival, and maybe an independent prognostic factor of worse overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), progression-free interval (PFI). Additionally, CENPL expression was significantly correlated with immune cell infiltration and some markers. CENPL also contained a methylation site that was notably related to poor prognosis. Conclusions: Elevated CENPL may be a promising prognostic marker and associate with immune infiltration in HCC.
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关键词
centromere protein L, hepatocellular carcinoma, tumor immunity, prognosis, biomarker
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