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微阵列分析鉴定肝硬化起源的肝细胞癌过程中涉及的特异性蛋白和功能模块。

Microarray analysis for the identification of specific proteins and functional modules involved in the process of hepatocellular carcinoma originating from cirrhotic liver.

机构信息

Section of Medical Affairs, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei 441000, P.R. China.

Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.

出版信息

Mol Med Rep. 2018 Apr;17(4):5619-5626. doi: 10.3892/mmr.2018.8555. Epub 2018 Feb 2.

DOI:10.3892/mmr.2018.8555
PMID:29436633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5866002/
Abstract

In order to identify the potential pathogenesis of hepatocellular carcinoma (HCC) developing from cirrhosis, a microarray‑based transcriptome profile was analyzed. The GSE63898 expression profile was downloaded from the Gene Expression Omnibus database, which included data from 228 HCC tissue samples and 168 cirrhotic tissue samples. The Robust Multi‑array Average in the Affy package of R was used for raw data processing and Student's t‑test was used to screen differentially expressed genes (DEGs). An enrichment analysis was then conducted using the Database for Annotation, Visualization and Integrated Discovery online tool, and the protein‑protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape. Furthermore, the MCODE plug‑in of Cytoscape was used to conduct a sub‑module analysis. A total of 634 DEGs were identified between HCC and cirrhosis, of which 165 were upregulated and 469 were downregulated. According to the cut‑off criteria, the PPI network was constructed and Jun proto‑oncogene, AP‑1 transcription factor subunit (degree, 39), Fos proto‑oncogene, AP‑1 transcription factor subunit (degree, 34) and v‑myc avian myelocytomatosis viral oncogene homolog (degree, 32) were identified as the hub nodes of the PPI network. Based on the sub‑module analysis, four specific modules were identified. In particular, module 1 was significantly enriched in the chemokine signaling pathway, and C‑X‑C motif chemokine ligand 12, C‑C motif chemokine receptor 7 (CCR7) and C‑C motif chemokine ligand 5 (CCL5) were three important proteins in this module. Module 4 was significantly enriched in chemical carcinogenesis, and cytochrome P450 family 2 subfamily E member 1, cytochrome P450 family 2 subfamily C member 9 (CYP2C9) and cytochrome P450 family 2 subfamily A member 6 (CYP2A6) were three important proteins in this module. In conclusion, the present study revealed that CCR7, CCL5, CYP2C9 and CYP2A6 are novel genes identified in the development of HCC; however, the actual functions of these genes require verification.

摘要

为了确定从肝硬化发展为肝细胞癌(HCC)的潜在发病机制,对基于微阵列的转录组谱进行了分析。从基因表达综合数据库中下载了 GSE63898 表达谱,其中包括 228 个 HCC 组织样本和 168 个肝硬化组织样本的数据。使用 R 中的 Affy 包中的 Robust Multi-array Average 对原始数据进行处理,使用 Student's t-检验筛选差异表达基因(DEGs)。然后使用在线数据库 for Annotation, Visualization and Integrated Discovery 进行富集分析,并使用 Search Tool for the Retrieval of Interacting Genes 和 Cytoscape 构建蛋白质-蛋白质相互作用(PPI)网络。此外,使用 Cytoscape 的 MCODE 插件进行子模块分析。在 HCC 和肝硬化之间鉴定出 634 个 DEGs,其中 165 个上调,469 个下调。根据截止标准构建 PPI 网络,鉴定出 Jun 原癌基因、AP-1 转录因子亚基(度,39)、Fos 原癌基因、AP-1 转录因子亚基(度,34)和 v-myc 禽髓细胞瘤病毒致癌基因同源物(度,32)为 PPI 网络的枢纽节点。基于子模块分析,鉴定出四个特定模块。特别是,模块 1 在趋化因子信号通路中显著富集,并且 C-X-C 基序趋化因子配体 12、C-C 基序趋化因子受体 7(CCR7)和 C-C 基序趋化因子配体 5(CCL5)是该模块中的三个重要蛋白质。模块 4 在化学致癌作用中显著富集,并且细胞色素 P450 家族 2 亚家族 E 成员 1、细胞色素 P450 家族 2 亚家族 C 成员 9(CYP2C9)和细胞色素 P450 家族 2 亚家族 A 成员 6(CYP2A6)是该模块中的三个重要蛋白质。总之,本研究表明,CCR7、CCL5、CYP2C9 和 CYP2A6 是在 HCC 发展过程中鉴定的新基因;然而,这些基因的实际功能需要验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/b1143065f50c/MMR-17-04-5619-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/c5e19a1420e6/MMR-17-04-5619-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/6112533546a9/MMR-17-04-5619-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/c3622744c65b/MMR-17-04-5619-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/b1143065f50c/MMR-17-04-5619-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/c5e19a1420e6/MMR-17-04-5619-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/6112533546a9/MMR-17-04-5619-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/c3622744c65b/MMR-17-04-5619-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977b/5866002/b1143065f50c/MMR-17-04-5619-g03.jpg

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本文引用的文献

1
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Cancer Genomics Proteomics. 2004 Jan-Feb;1(1):53-58. Epub 2004 Jan 1.
2
Functional role of CCL5/RANTES for HCC progression during chronic liver disease.CCL5/RANTES 在慢性肝病期间促进 HCC 进展的功能作用。
J Hepatol. 2017 Apr;66(4):743-753. doi: 10.1016/j.jhep.2016.12.011. Epub 2016 Dec 21.
3
Cancer statistics, 2016.癌症统计数据,2016 年。
转录组分析为管理复发性肝细胞癌开创了精准医学的新时代。
World J Gastroenterol. 2023 Feb 7;29(5):780-799. doi: 10.3748/wjg.v29.i5.780.
4
Integrated Analysis of the miRNA-mRNA Regulatory Network Involved in HIV-Associated Neurocognitive Disorder.与HIV相关神经认知障碍相关的miRNA-mRNA调控网络的综合分析
Pathogens. 2022 Mar 27;11(4):407. doi: 10.3390/pathogens11040407.
5
Identification of immune-infiltrating cell-related biomarkers in hepatocellular carcinoma based on gene co-expression network analysis.基于基因共表达网络分析鉴定肝细胞癌中的免疫浸润细胞相关生物标志物。
Diagn Pathol. 2021 Jul 4;16(1):57. doi: 10.1186/s13000-021-01118-y.
6
Identification of differentially expressed genes and biological pathways in para-carcinoma tissues of HCC with different metastatic potentials.不同转移潜能的肝癌癌旁组织中差异表达基因及生物学通路的鉴定
Oncol Lett. 2020 Jun;19(6):3799-3814. doi: 10.3892/ol.2020.11493. Epub 2020 Mar 29.
7
Dissecting the expression landscape of cytochromes P450 in hepatocellular carcinoma: towards novel molecular biomarkers.剖析细胞色素P450在肝细胞癌中的表达图谱:寻找新型分子生物标志物。
Genes Cancer. 2019 May;10(3-4):97-108. doi: 10.18632/genesandcancer.190.
CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7.
4
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PLoS One. 2015 Nov 11;10(11):e0142337. doi: 10.1371/journal.pone.0142337. eCollection 2015.
5
Serum levels of chemokines CCL4 and CCL5 in cirrhotic patients indicate the presence of hepatocellular carcinoma.肝硬化患者血清趋化因子CCL4和CCL5水平表明存在肝细胞癌。
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6
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Cancer Lett. 2016 Sep 1;379(2):173-83. doi: 10.1016/j.canlet.2015.06.017. Epub 2015 Jun 26.
7
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World J Hepatol. 2015 Jun 8;7(10):1390-402. doi: 10.4254/wjh.v7.i10.1390.
8
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Chem Res Toxicol. 2015 Jul 20;28(7):1359-90. doi: 10.1021/acs.chemrestox.5b00121. Epub 2015 Jun 17.
9
Suppression of CYP2C9 by microRNA hsa-miR-128-3p in human liver cells and association with hepatocellular carcinoma.微小RNA hsa-miR-128-3p在人肝细胞中对CYP2C9的抑制作用及其与肝细胞癌的关联
Sci Rep. 2015 Feb 23;5:8534. doi: 10.1038/srep08534.
10
DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma.基于 DNA 甲基化的肝细胞癌预后和表皮驱动因素。
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