李慧月, 王沐榛, 喻叶, 田雪梅. 加权基因共表达网络分析筛选胰腺癌肿瘤免疫相关基因[J]. 华南师范大学学报(自然科学版), 2021, 53(6): 61-67. doi: 10.6054/j.jscnun.2021093
引用本文: 李慧月, 王沐榛, 喻叶, 田雪梅. 加权基因共表达网络分析筛选胰腺癌肿瘤免疫相关基因[J]. 华南师范大学学报(自然科学版), 2021, 53(6): 61-67. doi: 10.6054/j.jscnun.2021093
LI Huiyue, WANG Muzhen, YU Ye, TIAN Xuemei. Screening Genes Related with Tumor Immunity in Pancreatic Cancer with the WGCN Analysis[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 61-67. doi: 10.6054/j.jscnun.2021093
Citation: LI Huiyue, WANG Muzhen, YU Ye, TIAN Xuemei. Screening Genes Related with Tumor Immunity in Pancreatic Cancer with the WGCN Analysis[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 61-67. doi: 10.6054/j.jscnun.2021093

加权基因共表达网络分析筛选胰腺癌肿瘤免疫相关基因

Screening Genes Related with Tumor Immunity in Pancreatic Cancer with the WGCN Analysis

  • 摘要: 分析胰腺癌免疫浸润,以期寻找胰腺癌免疫治疗的潜在靶点. 利用加权基因共同表达网络分析方法和CIBERSORT算法分析TCGA数据库中胰腺癌的基因表达数据,识别与B细胞免疫浸润水平相关的基因模块. 通过共表达网络和PPI交互网络分析,确定了9个枢纽基因CD79BMYCBANK1TIMELESSCD19ATF3ITGALIKZF3RRAGB. 通过TIMER、Kaplan-Meier和差异表达基因等分析, 结果显示ITGAL在B细胞中高表达,在胰腺癌组织中显著上调,且该基因在胰腺癌中高表达与预后良好显著相关.

     

    Abstract: The immune infiltrating cells of pancreatic cancer are analyzed to find immunotherapy targets for pancreatic cancer. The weighted gene co-expression network (WGCN) analysis and the CIBERSORT algorithm were used to analyze the gene expression data of pancreatic cancer in the TCGA database to identify the gene modules related to the level of B cell immune infiltration. Nine hub genes (CD79B, MYC, BANK1, TIMELESS, CD19, ATF3, ITGAL, IKZF3 and RRAGB) were identified with the co-expression network and the PPI interaction network analysis. The Timer, Kaplan-Meier and differentially expressed gene analyses showed that ITGAL was highly expressed in B cells and significantly upregulated in pancreatic cancer tissues, and the high expression of ITGAL in pancreatic cancer was significantly correlated with good prognosis.

     

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