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本文引用的文献

1
Microenvironment characterization and multi-omics signatures related to prognosis and immunotherapy response of hepatocellular carcinoma.与肝细胞癌预后和免疫治疗反应相关的微环境特征及多组学特征
Exp Hematol Oncol. 2020 May 25;9:10. doi: 10.1186/s40164-020-00165-3. eCollection 2020.
2
Risk of Hepatocellular Carcinoma after HCV Clearance by Direct-Acting Antivirals Treatment Predictive Factors and Role of Epigenetics.直接抗病毒药物治疗清除丙型肝炎病毒后肝细胞癌的风险:预测因素及表观遗传学的作用
Cancers (Basel). 2020 May 26;12(6):1351. doi: 10.3390/cancers12061351.
3
Visualizing and interpreting cancer genomics data via the Xena platform.通过Xena平台可视化和解读癌症基因组学数据。
Nat Biotechnol. 2020 Jun;38(6):675-678. doi: 10.1038/s41587-020-0546-8.
4
Integrative analysis of DNA methylation and gene expression reveals distinct hepatocellular carcinoma subtypes with therapeutic implications.整合 DNA 甲基化和基因表达分析揭示具有治疗意义的不同肝细胞癌亚型。
Aging (Albany NY). 2020 Mar 22;12(6):4970-4995. doi: 10.18632/aging.102923.
5
CHG: A Systematically Integrated Database of Cancer Hallmark Genes.CHG:一个癌症标志基因的系统整合数据库。
Front Genet. 2020 Feb 5;11:29. doi: 10.3389/fgene.2020.00029. eCollection 2020.
6
Large-scale public data reuse to model immunotherapy response and resistance.大规模公共数据再利用以模拟免疫疗法反应和耐药性。
Genome Med. 2020 Feb 26;12(1):21. doi: 10.1186/s13073-020-0721-z.
7
Screening of potential biomarkers and their predictive value in early stage non-small cell lung cancer: a bioinformatics analysis.早期非小细胞肺癌潜在生物标志物的筛选及其预测价值:一项生物信息学分析
Transl Lung Cancer Res. 2019 Dec;8(6):797-807. doi: 10.21037/tlcr.2019.10.13.
8
Characterization of Hypoxia-associated Molecular Features to Aid Hypoxia-Targeted Therapy.鉴定与缺氧相关的分子特征以辅助缺氧靶向治疗。
Nat Metab. 2019 Apr;1(4):431-444. doi: 10.1038/s42255-019-0045-8. Epub 2019 Mar 18.
9
Top 10 Challenges in Cancer Immunotherapy.癌症免疫疗法的十大挑战。
Immunity. 2020 Jan 14;52(1):17-35. doi: 10.1016/j.immuni.2019.12.011.
10
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.机器学习工作流程,用于估计 DNA 甲基化微阵列数据精准癌症诊断的类别概率。
Nat Protoc. 2020 Feb;15(2):479-512. doi: 10.1038/s41596-019-0251-6. Epub 2020 Jan 13.

在肝硬化中重新形成并在肝细胞癌中保守存在的活跃增强子图谱。

Landscape of active enhancers developed de novo in cirrhosis and conserved in hepatocellular carcinoma.

作者信息

Yang Yao, Deng Xiaoyu, Chen Xinjian, Chen Shihan, Song Liang, Meng Meng, Han Qi, Imani Saber, Li Shuhui, Zhong Zhaoyang, Li Xiaohui, Deng Youcai

机构信息

Institute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University) Chongqing 400038, China.

Department of Cardiovascularology, Airforce Hospital of Southern Theater Command Guangzhou, Guangdong 510062, China.

出版信息

Am J Cancer Res. 2020 Oct 1;10(10):3157-3178. eCollection 2020.

PMID:33163263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7642653/
Abstract

Hepatocellular carcinoma (HCC) patients always have a background of cirrhosis. Aberrant epigenetic changes in cirrhosis provide a conductive environment for HCC tumorigenesis. Active enhancers (AEs) are essential for epigenetic regulation and play an important role in cell development and the progression of many diseases. However, the role of AEs in the progression from cirrhosis to HCC remains unclear. We systemically constructed a landscape of AEs that developed de novo in cirrhosis and were conserved in HCC, referred to as CL-HCC AEs. We observed significant upregulation of these CL-HCC AE-associated genes in cirrhosis and HCC, with no other epigenetic changes. Enrichment analysis of these CL-HCC AE-associated genes revealed enrichment in both hepatocyte-intrinsic tumorigenesis and tumor immune response, which might contribute to HCC tumorigenesis. Analysis of the diagnostic ability of these CL-HCC AE-associated genes provided a five-gene (THBS4, OLFML2B, CDKN3, GABRE, and HDAC11) diagnostic biomarker for HCC. Molecular subtype (MS) identification based on the CL-HCC AE-associated genes identified 3 MSs. Samples representing the 3 MSs showed differences in CL-HCC AE-associated gene expression levels, prognosis, copy number variation (CNV)/mutation frequencies, functional pathways, tumor microenvironment (TME) cell subtypes, immunotherapy responses and putative drug responses. We also found that the BET bromodomain inhibitor JQ1 downregulated the expression of CL-HCC AE-associated genes. Collectively, our results suggest that CL-HCC AEs and their associated genes contribute to HCC tumorigenesis and evolution, and could be used to distinguish the different landscapes of HCC and help explore the mechanism, classification, prediction, and precision therapy of HCC.

摘要

肝细胞癌(HCC)患者通常有肝硬化背景。肝硬化中异常的表观遗传变化为HCC肿瘤发生提供了有利环境。活性增强子(AE)对表观遗传调控至关重要,在细胞发育和许多疾病的进展中发挥重要作用。然而,AE在从肝硬化进展到HCC过程中的作用仍不清楚。我们系统地构建了在肝硬化中从头发育并在HCC中保守的AE图谱,称为CL-HCC AE。我们观察到这些CL-HCC AE相关基因在肝硬化和HCC中显著上调,且无其他表观遗传变化。对这些CL-HCC AE相关基因的富集分析显示,它们在肝细胞内在肿瘤发生和肿瘤免疫反应中均有富集,这可能有助于HCC肿瘤发生。对这些CL-HCC AE相关基因诊断能力的分析提供了一种用于HCC的五基因(THBS4、OLFML2B、CDKN3、GABRE和HDAC11)诊断生物标志物。基于CL-HCC AE相关基因的分子亚型(MS)鉴定确定了3种MS。代表这3种MS的样本在CL-HCC AE相关基因表达水平、预后、拷贝数变异(CNV)/突变频率、功能途径、肿瘤微环境(TME)细胞亚型、免疫治疗反应和推定药物反应方面存在差异。我们还发现,BET溴结构域抑制剂JQ1下调了CL-HCC AE相关基因의表达。总体而言,我们的结果表明,CL-HCC AE及其相关基因有助于HCC肿瘤发生和演变,可用于区分HCC的不同情况,并有助于探索HCC的机制、分类、预测和精准治疗。