High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2023-07-24 DOI:10.1049/syb2.12073
Fang-Cheng Jiang, Gao-Qiang Zhai, Jia-Lin Liu, Rui-Gong Wang, Yuan-Ping Yang, Harivignesh Murugesan, Xiao-Xiang Yu, Xiu-Fang Du, Juan He, Zhen-Bo Feng, Shang Ling Pan, Gang Chen, Sheng-Hua Li, Zhi-Guang Huang
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Abstract

The progression of prostate cancer (PCa) leads to poor prognosis. However, the molecular mechanism of PCa is still not completely clear. This study aimed to elucidate the important role of centromere protein A (CENPA) in PCa. Large numbers of bulk RNA sequencing (RNA-seq) data and in-house immunohistochemistry data were used in analysing the expression level of CENPA in PCa and metastatic PCa (MPCa). Single-cell RNA-seq data was used to explore the expression status of CENPA in different prostate subpopulations. Enrichment analysis was employed to detect the function of CENPA in PCa. Clinicopathological parameters analysis was utilised in analysing the clinical value of CENPA. The results showed that CENPA was upregulated in PCa (standardised mean difference [SMD] = 0.83, p = 0.001) and MPCa (SMD = 0.61, p = 0.029). CENPA was overexpressed in prostate cancer stem cells (CSCs) with androgen receptor (AR) negative compared to epithelial cells with AR positive. CENPA may influence the development of PCa through affecting cell cycle. Patients with nodal metastasis had higher expression level of CENPA. And patients with high CENPA expression had poor disease-free survival. Taken together, Overexpression of CENPA may influence the development of PCa by regulating cell cycle and promoting metastasis.

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着丝粒蛋白A在前列腺癌症中的高表达及其分子机制和临床意义:基于数据挖掘和免疫组织化学的研究。
癌症(PCa)的进展导致预后不良。然而,PCa的分子机制尚不完全清楚。本研究旨在阐明着丝粒蛋白A(CENPA)在前列腺癌中的重要作用。大量的体RNA测序(RNA-seq)数据和内部免疫组织化学数据用于分析CENPA在前列腺癌和转移性前列腺癌(MPCa)中的表达水平。单细胞RNA-seq数据用于探索CENPA在不同前列腺亚群中的表达状态。采用富集分析法检测CENPA在前列腺癌中的作用。临床病理参数分析用于分析CENPA的临床价值。结果显示,CENPA在PCa(标准化平均差[SMD]=0.83,p=0.001)和MPCa(SMD=0.61,p=0.029)中上调。与AR阳性的上皮细胞相比,CENPA在雄激素受体(AR)阴性的前列腺癌症干细胞(CSCs)中过表达。CENPA可能通过影响细胞周期来影响前列腺癌的发展。淋巴结转移患者CENPA的表达水平较高。CENPA高表达的患者无病生存率较差。总之,CENPA的过表达可能通过调节细胞周期和促进转移来影响前列腺癌的发展。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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