肝癌靶点的筛选与验证
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江南大学理学院,无锡 214122

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国家自然科学基金(11371174)资助项目。


Screening and Verification of Liver Cancer Targets
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School of Science, Jiangnan University, Wuxi 214122, China

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    摘要:

    肝癌是临床上具有高致死率的常见恶性肿瘤之一,发现新靶点、开发新药对于疾病的治疗至关重要。本文从生物功能和网络的角度分析了与肝癌发生、发展相关的差异表达基因,旨在筛选出肝癌早期诊断的分子标志物和免疫治疗靶点。首先对两组肝癌相关基因表达数据进行差异表达筛选;然后通过GO(Gene ontology)功能和KEGG(The kyoto encyclopedia of genes and genomes)通路分析,得到同时在主要功能和信号通路上显著富集的128个目标基因;最后通过基因调控网络探讨目标基因的相互作用规律,找出10个关键基因并进行生存分析验证。结果表明,得到的CYP3A4、CYP3A5、CYP2C9和CYP2C8这4个基因适合作为肝癌标志物或靶向治疗靶点。本文为肝癌发生、发展的机制研究,肿瘤标志物的筛选及药物靶点选择提供了参考,为进一步开展相关的功能研究提供了基础。

    Abstract:

    Liver cancer is one of the common malignant tumors with high clinical mortality. Discovering new targets and developing new drugs are essential for the treatment of the disease. This study analyzes the differentially expressed genes related to the occurrence and development of liver cancer from the perspective of biological function and network, aiming to screen out molecular markers and immunotherapy targets for early diagnosis of liver cancer. First, two sets of liver cancer-related gene expression data are screened for differential expression. Then through GO (Gene ontology) function and KEGG (The kyoto encyclopedia of genes and genomes) pathway analysis, 128 target genes that are significantly enriched in the main functions and signal pathways are obtained. Finally, through the gene regulation network to explore the interaction law of target genes, ten key genes are identified and survival analysis is performed to verify that four genes of CYP3A4, CYP3A5, CYP2C9 and CYP2C8 are suitable as liver cancer markers or targeted therapeutic targets. This study provids a reference for the mechanism study of the occurrence and development of liver cancer, the screening of tumor markers and the selection of drug targets, and provide a basis for further related functional research.

    表 3 10个关键基因的两种生存分析结果Table 3 Two survival analysis results of ten key genes
    表 4 Table 4 Ablation experiment results
    表 5 Table 5 FPS of two object detection methods
    图1 实验方法流程图Fig.1 Flow chart of the experimental method
    图2 差异基因的火山图Fig.2 Volcano map of differential genes
    图3 肝癌相关差异基因的GO功能分析结果可视化Fig.3 Visualization of GO function analysis results of different genes related to liver cancer
    图4 肝癌相关差异基因的KEGG通路分析结果可视化Fig.4 Visualization of KEGG pathway analysis results of different genes related to liver cancer
    图5 肝癌相关差异基因的基因调控网络Fig.5 Gene regulatory network of different genes related to liver cancer
    图6 基因调控网络Fig.6 Gene regulatory network
    图7 CYP3A4,CYP3A5,CYP2C8,CYP2C9基因的Oncolnc在线生存分析结果Fig.7 Oncolnc online survival analysis results of CYP3A4, CYP3A5, CYP2C8, CYP2C9 genes
    图1 Luggage vehicles in the apronFig.1
    图2 Servicing diagram of flight ground support vehiclesFig.2
    图3 An actual example of Faster R-CNN in the apronFig.3
    图4 Classification of attention mechanisms in CVFig.4
    图5 Architecture of the proposed SA-FRCNNFig.5
    图6 Definition of spatial relationship categoriesFig.6
    图7 Structure diagram of the attention moduleFig.7
    图8 Distribution of the amount of labeled boxes for each categoryFig.8
    图9 Comparison of AP value of each category in ablation experimentsFig.9
    图10 Visualization results in the apron at daytimeFig.10
    图11 Visualization results in the apron at nighttimeFig.11
    表 2 肝癌相关差异基因的KEGG通路分析结果Table 2 KEGG pathway analysis results of different genes related to liver cancer
    表 1 肝癌相关差异基因的GO功能分析结果Table 1 GO function analysis results of different genes related to liver cancer
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引用本文

王丽萍,田振波,唐旭清.肝癌靶点的筛选与验证[J].数据采集与处理,2021,36(4):664-674

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  • 收稿日期:2020-08-11
  • 最后修改日期:2020-10-28
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  • 在线发布日期: 2021-09-23