Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients

被引:2
|
作者
Wang, Shuwei [1 ]
Cheng, Liang [1 ]
Jing, Fa [1 ]
Li, Gan [1 ]
机构
[1] Nanjing Univ Chinese Med, Dept Gen Surg, Wuxi Affiliated Hosp, Wuxi 214000, Jiangsu, Peoples R China
关键词
Colorectal cancer; Immune-related gene; Prognostic value; Immunotherapy; R PACKAGE; EXPRESSION;
D O I
10.1186/s12920-022-01329-2
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background Increasing evidence indicates that the immune microenvironment plays a key role in the genesis and progression of colorectal cancer (CRC). This study aimed to establish an immune-related gene (IRG) signature and determine its clinical prognostic value in patients with CRC. Methods The RNA sequencing and associated clinical data of CRC were downloaded from The Cancer Genome Atlas (TCGA) database. We then screened for differentially expressed IRGs by intersecting with IRGs obtained from the Immunology Database and Analysis Portal. Functional enrichment analyses were carried out to determine the potential biological functions and pathways of the IRGs. We also explored the specific molecular mechanisms of the IRGs by constructing regulatory networks. Prognostic IRGs were obtained by LASSO regression analysis, and subsequently, gene models were constructed in the TCGA dataset to confirm the predictive capacity of these IRGs. Finally, we used the TIMER tool to assess the immune properties of prognostic IRGs and correlate them with immune cells. Results We identified 409 differentially expressed IRGs in patients with CRC. Kyoto Encyclopaedia of Genes and Genomes and Gene Ontology enrichment analyses suggested that these differentially expressed IRGs were significantly related to 102 cancer signalling pathways and various biological functions. Based on the prediction and interaction results, we obtained 59 TF-IRG, 48 miRNA-IRG, and 214 drug-IRG interaction networks for CRC. Four prognostic genes (POMC, TNFRSF19, FGF2, and SCG2) were developed by integrating 47 survival-related IRGs and 42 characteristic CRC genes. The results of gene model showed that patients in the low risk group had better survival outcomes compared to those in the high risk group. The expression of POMC, TNFRSF19, FGF2, and SCG2 was significantly correlated with immune cells. Conclusion This study identified some valid IRGs, and these findings can provide strong evidence for precision immunotherapy in patients with CRC.
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页数:14
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