[1]黄志杰,马月龙,陈雅娟.CCL2高表达与低级别胶质瘤患者不良预后的相关性[J].医学信息,2022,35(15):7-13.[doi:10.3969/j.issn.1006-1959.2022.15.002]
 HUANG Zhi-jie,MA Yue-long,CHEN Ya-juan.Correlation Between High Expression of CCL2 and Poor Prognosis in Patients with Low Grade Glioma[J].Journal of Medical Information,2022,35(15):7-13.[doi:10.3969/j.issn.1006-1959.2022.15.002]
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CCL2高表达与低级别胶质瘤患者不良预后的相关性()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年15期
页码:
7-13
栏目:
生物信息学
出版日期:
2022-08-01

文章信息/Info

Title:
Correlation Between High Expression of CCL2 and Poor Prognosis in Patients with Low Grade Glioma
文章编号:
1006-1959(2022)15-0007-07
作者:
黄志杰马月龙陈雅娟
(福建师范大学生命科学学院/细胞逆境响应与代谢调控福建省高校重点实验室,福建 福州 350108)
Author(s):
HUANG Zhi-jieMA Yue-longCHEN Ya-juan
(College of Life Science,Fujian Normal University/the Provincial University Key Laboratory of Cellular Stress Response andMetabolic Regulation,Fuzhou 350108,Fujian,China)
关键词:
低级别胶质瘤CCL2WGCNA免疫预后
Keywords:
Low grade gliomaCCL2WGCNAImmunePrognosis
分类号:
R739.4
DOI:
10.3969/j.issn.1006-1959.2022.15.002
文献标志码:
A
摘要:
目的 分析趋化因子配体2 (CCL2)与低级别胶质瘤(LGG)不良预后的相关性,构建用于评估LGG患者的CCL2相关基因预后模型。方法 通过GEPIA数据库与TCGA数据库中分别获得TCGA癌症数据以及LGG样本信息。鉴定LGG组织中与CCL2存在共表达关系的基因,并且对这些基因进行KEGG通路与GO功能富集分析、Cox单因素生存分析、蛋白质相互作用网络构建、对潜在预后模型的相关基因筛选并构建风险评分预后模型、对评分模型的预后区分能力评估。结果 总共鉴定了1333个CCL2共表达基因,分析CCL2在LGG中的表达及预后,发现CCL2在LGG中表达显著增强。富集分析结果显示CCL2共表达基因主要集中在免疫相关信号通路。构建了包含31个CCL2相关基因的预后模型,生存分析结果表明,高风险评分与LGG患者的不良预后相关,ROC曲线表明该模型具有良好的准确性。风险评分相关的nomogram的1、3和5年生存率的AUC值分别为 0.93、0.91和0.888,显示该模型具有较好的预后区分能力。结论 CCL2高表达与LGG预后不良密切相关,是评估LGG预后的有效指标,本研究成功构建了用于评估LGG患者预后的CCL2相关基因预后模型。
Abstract:
Objective To analyze the correlation between chemokine ligand 2 (CCL2) and poor prognosis of low grade glioma (LGG), and to construct a CCL2-related gene prognosis model for LGG patients.Methods TCGA cancer data and LGG sample information were obtained by GEPIA database and TCGA database respectively. The genes co-expressed with CCL2 in LGG tissue were identified, and the KEGG pathway and GO function enrichment analysis, Cox single factor survival analysis, protein interaction network construction, gene screening for potential prognostic model, risk score prognostic model construction, and prognostic discrimination ability evaluation of the scoring model were performed on these genes.Results A total of 1333 CCL2 co-expression genes were identified, and the expression and prognosis of CCL2 in LGG were analyzed. It was found that the expression of CCL2 in LGG was significantly enhanced. The enrichment analysis showed that CCL2 co-expression genes were mainly concentrated in immune-related signaling pathways. A prognostic model containing 31 CCL2-related genes was constructed. Survival analysis showed that high risk score was associated with poor prognosis of LGG patients. ROC curve showed that the model had good accuracy. The AUC values of 1-, 3- and 5-year survival rates of nomogram related to risk score were 0.93, 0.91 and 0.888, respectively, indicating that the model had good prognosis discrimination ability.Conclusion The high expression of CCL2 is closely related to the poor prognosis of LGG, which is an effective indicator to evaluate the prognosis of LGG. This study successfully constructed a CCL2-related gene prognosis model for evaluating the prognosis of LGG patients.

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更新日期/Last Update: 1900-01-01