胰腺癌肝转移核心基因的筛选与验证
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四川省绵阳市中医医院 普通外科,四川 绵阳 621000

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黄坤,四川省绵阳市中医医院主治医师,主要从事普外科基础与临床方面的研究。

基金项目:

四川省绵阳市应用技术研究与开发基金资助项目(2019YFZJ004)。


Screening and identification of hub gene involved in hepatic metastasis of carcinoma of pancreas
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Department of General Surgery, Mianyang Hospital of Traditional Chinese Medicine, Mianyang, Sichuan 621000, China

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    摘要:

    背景与目的 胰腺癌是预后极差的恶性肿瘤,其5年生存率约为11.5%,有将近半数的患者在初诊时已出现远处转移,而肝转移则占到其中的37.0%~41.9%。探索新的胰腺癌肝转移的生物标志物可能有助于提高患者治疗的效果。因此,本研究通过生物信息学方法寻找在胰腺癌肝转移过程起关键作用的基因并验证。方法 下载GEO数据库中的胰腺导管腺癌(PDAC)高通量测序数据集GSE151580(该数据集中包含胰腺癌肝转移病灶组织样本和原发病灶组织样本),使用R语言“limma”包筛选出肝转移病灶组织样本和原发病灶组织样本间的差异表达基因。对差异表达基因进行GO和KEGG功能富集。利用STRING数据库构建蛋白质间的相关作用关系,使用Cytoscape对蛋白质相互作用网络进行可视化展示并利用CytoHubba插件根据MCC拓扑分析方法,挑选MCC分数最高的前10位基因,确定为候选的核心基因。利用TCGA、GEPIA、UALCAN和HPA数据库的验证对候选的核心基因加以验证。结果 总共纳入分析基因数为46 512个,符合筛选条件的差异表达基因数为491个,其中上调162个,下调329个。挑选MCC分数最高的前10位基因后,通过候选基因经验证显示,APOB基因在肿瘤组织中高表达(P<0.05),其表达产物主要定位于细胞质和细胞膜,免疫组化中等强度阳性。APOB基因的突变与患者的M分期有关,表现为该基因突变组中,M1患者构成比更大(P=0.022 1);而该基因的表达与患者的总生存(OS)率和无病生存(DFS)率均无明显关系(均P>0.05)。此外,APOA4基因表达产物也主要定位于细胞质和细胞膜,免疫组化染色呈中等强度阳性。APOA4基因的突变与患者的TNM分期有关,表现为突变组中,TNM分期更早(P=0.018 3)。该基因低表达患者的DFS更高(HR=1.75,P=0.025),但与患者的OS无关(P>0.05)。结论 APOB基因可能与胰腺癌的肝转移相关,有望作为胰腺癌肝转移早期筛查的分子标志物。APOA4基因与胰腺癌患者的DFS相关,有望成为新的分子标志物用于评价患者预后,监测肿瘤复发,或作为潜在的基因治疗靶点。

    Abstract:

    Background and Aims Pancreatic cancer is a highly malignant tumor with a very poor prognosis, with a 5-year survival rate of about 11.5%. Nearly half of the patients have distant metastasis at the time of initial diagnosis, and liver metastasis accounts for 37% to 41.9% of them. Exploring new biomarkers for pancreatic cancer liver metastasis may help improve the treatment efficacy in patients. Therefore, this study was conducted to identify and validate key genes that play a critical role in the process of pancreatic cancer liver metastasis using bioinformatics approaches.Methods The high-throughput sequencing dataset GSE151580 for pancreatic ductal adenocarcinoma (PDAC) was downloaded from the GEO database, which included tissue samples from pancreatic cancer liver metastases and primary lesions. The differentially expressed genes between liver metastasis tissue samples and primary lesion tissue samples were screened using the R language limma package. The GO and KEGG functional enrichment analyses were performed on the differentially expressed genes. The protein-protein interaction networks were constructed using the STRING database, which were then visualized using Cytoscape. The top 10 genes were selected using the CytoHubba plugin based on the MCC topology analysis method, which were considered as the candidate core genes. Finally, the candidate core genes were validated using TCGA, GEPIA, UALCAN, and HPA databases.Results A total of 46 512 genes were included in the analysis, with 491 differentially expressed genes meeting the screening criteria, of which 162 were up-regulated and 329 were down-regulated. After selecting the top 10 genes with the highest MCC scores, validation of the candidate genes showed that the APOB gene was highly expressed in tumor tissues (P<0.05), with its expression product mainly located in the cytoplasm and cell membrane, and showing moderate positive staining in immunohistochemistry. APOB gene mutations were related to patients' M stage, with a higher proportion of M1 patients in the mutation group (P=0.022 1). However, the expression of this gene was not significantly associated with overall survival (OS) or disease-free survival (DFS) of the patients (both P>0.05). In addition, the expression product of the APOA4 gene was also mainly located in the cytoplasm and cell membrane, showing moderate positive staining in immunohistochemistry. APOA4 gene mutations were related to patients' TNM stage, with an earlier TNM stage in the mutation group (P=0.018 3). Patients with low expression of this gene had higher DFS (HR=1.75, P=0.025), but its expression was not related to OS (P>0.05).Conclusion The APOB gene may be associated with liver metastasis of pancreatic cancer and has the potential to serve as a molecular biomarker for early screening of pancreatic cancer liver metastasis. The APOA4 gene is associated with the DFS of pancreatic cancer patients and may become a new molecular biomarker for evaluating patient prognosis, monitoring tumor recurrence, or as a potential target for gene therapy.

    图1 两组数据标准化后的直方图Fig.1 Histogram of two standardized datasets
    图2 符合筛选条件的差异表达基因鉴定 A:差异基因表达谱的火山图;B:前50个差异基因表达谱的热图Fig.2 Identification of differentially expressed genes that meet selection criteria A: Volcano plot of differential gene expression profiles; B: Heatmap of top 50 differentially expressed genes
    图3 差异表达基因的功能富集分析(左侧的Y轴显示功能富集分析结果;下方的X轴表示参与BP、CC、MF和KEGG的基因所占的百分比;气泡大小表示参与BP、CC、MF和KEGG的基因数目,气泡越大表示参与的基因越多;气泡颜色代表P值的大小,颜色由红至蓝代表P值越大) A-D:分别显示了这些差异表达基因可能参与的前10个BP、CC、MF和KEGG结果Fig.3 Functional enrichment analysis of differentially expressed genes (the Y-axis showing the results of functional enrichment analysis; the X-axis representing the percentage of genes involved in BP, CC, MF, and KEGG; the size of the bubble representing the number of genes involved in BP, CC, MF, and KEGG, with larger bubbles indicating more genes involved; the color of the bubble representing the significance of the P-value, with red to blue indicating increase of the P-value) A-D: The results of BP, CC, MF and KEGG of the top 10 differentially expressed genes, respectively
    图4 差异表达基因的相互作用网络图(图中的节点代表每个差异表达基因,红或黄色节点代表核心基因,节点的颜色越红,代表MCC评分越高)Fig.4 Interaction network diagram of differentially expressed genes (the node in the graph representing each differentially expressed gene, with red or yellow nodes representing core genes, and the color of the node becoming increasingly red as the MCC score increases)
    图5 APOB基因的验证 A:基于TCGA数据库验证APOB基因突变组与非突变组间M分期的柱形图;B-C:基于GEPIA数据库验证APOB表达与OS和DFS的关系;D-E:基于UALCAN数据库验证肿瘤组织和正常组织中APOB的表达量;F:基于HPA数据库验证胰腺癌组织和正常组织中APOB的表达情况和细胞定位Fig.5 Verification of APOB gene A: Bar graph of M stage comparison between APOB gene mutation and non-mutation groups based on TCGA database validation; B-C: Validation of the relationship between APOB expression and OS and DFS based on GEPIA database; D-E: Validation of APOB expression levels in tumor tissue and normal tissue based on UALCAN database; F: Validation of APOB expression and cellular localization in pancreatic cancer tissue and normal tissue based on HPA database
    图6 APOA4基因的验证 A:基于TCGA数据库验证APOA4基因突变组与非突变组间TNM分期的柱形图;B-C:基于GEPIA数据库验证APOA4表达与OS和DFS的关系;D-E:基于UALCAN数据库验证肿瘤组织和正常组织中APOA4的表达量;F:基于HPA数据库验证胰腺癌组织和正常组织中APOA4的表达情况和细胞定位Fig.6 Verification of APOA4 gene A: Bar graph of TNM stage comparison between APOB4 gene mutation and non-mutation groups based on TCGA database validation; B-C: Validation of the relationship between APOB4 expression and OS and DFS based on GEPIA database; D-E: Validation of APOB4 expression levels in tumor tissue and normal tissue based on UALCAN database; F: Validation of APOB4 expression and cellular localization in pancreatic cancer tissue and normal tissue based on HPA database
    表 1 肝转移组织和原发病灶组织基因(前20个)差异表达的分析Table 1 Analysis of differential gene expression (top 20) between liver metastatic tissue and primary lesion tissue
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黄坤,何运胜,李建波,赵攀,肖春波,赵平武.胰腺癌肝转移核心基因的筛选与验证[J].中国普通外科杂志,2023,32(3):390-399.
DOI:10.7659/j. issn.1005-6947.2023.03.008

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  • 收稿日期:2022-01-04
  • 最后修改日期:2022-06-22
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  • 在线发布日期: 2023-03-30