[1]覃念群,刘 楷,米镜霖,等.基于生物信息学分析筛选与宫颈癌预后相关的关键基因[J].医学信息,2022,35(10):8-13.[doi:10.3969/j.issn.1006-1959.2022.10.002]
　QIN Nian-qun,LIU Kai,MI Jing-lin,et al.Screening Key Genes Related to the Prognosis of Cervical Cancer Based on Bioinformatics Analysis[J].Medical Information,2022,35(10):8-13.[doi:10.3969/j.issn.1006-1959.2022.10.002]
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基于生物信息学分析筛选与宫颈癌预后相关的关键基因()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年10期
页码:
8-13
栏目:
生物信息学
出版日期:
2022-05-15

文章信息/Info

Title:
Screening Key Genes Related to the Prognosis of Cervical Cancer Based on Bioinformatics Analysis
文章编号:
1006-1959（2022）10-0008-06
作者:
覃念群; 刘 楷; 米镜霖; 等
（1.广西医科大学第一附属医院放疗科，广西 南宁 530021；2.广西区域性高发肿瘤早期防治研究重点实验室，广西 南宁 530021）
Author(s):
QIN Nian-qun; LIU Kai; MI Jing-lin; et al.
(1.Department of Radiation Oncology,the First Affiliated Hospital of Guangxi Medical University,Nanning 530021,Guangxi,China; 2.Guangxi Key Laboratory of High-Incidence-Tumor Prevention&Treatment,Guangxi Medical University,Nanning 530021,Guangxi,China)
关键词:
宫颈癌; 差异基因; 生物标记物; 细胞周期
Keywords:
Cervical cancer; Differential genes; Biomarkers; Cell cycle
分类号:
R737.33
DOI:
10.3969/j.issn.1006-1959.2022.10.002
文献标志码:
A
摘要:
目的 基于生物信息学筛选与宫颈癌预后相关的关键基因，寻找新的宫颈癌预后的生物标志物。方法 对癌症基因组图谱（TCGA）数据库中的CESC数据集和基因表达总表（GEO）数据库中的GSE39001数据集进行加权基因共表达网络分析（WGCNA），通过构建PPI网络，筛选出与宫颈癌预后相关的关键基因，分析关键基因在宫颈癌中的表达情况、预后和功能作用，并进行验证。结果 共筛选出69个宫颈癌差异基因，这些基因主要参与细胞有丝分裂和细胞周期调控；PPI筛选出10个与宫颈癌相关的关键基因，均表达上调，其中KIF22的高表达与宫颈癌的预后良好相关（P＜0.05）；构建KIF22生存预测模型，5年生存率的ROC曲线的AUC值为0.612；Western Blot检测宫颈癌组中KIF22的表达，结果显示，与癌旁正常宫颈组织相比，KIF22在宫颈癌组织中表达上调（P＜0.05）；功能富集结果显示，KIF22高表达与p53通路显著富集。结论 KIF22在宫颈癌组织中高表达，其可能是宫颈癌患者预后良好的关键基因，有可能成为一种潜在的治疗靶点和预后生物标志物。
Abstract:
Objective To screen the key genes related to the prognosis of cervical cancer based on bioinformatics and find new biomarkers for the prognosis of cervical cancer.Methods Weighted gene co-expression network analysis (WGCNA) was performed on CESC dataset in Cancer Genome Atlas (TCGA) database and GSE39001 dataset in Gene Expression Profile (GEO) database.By constructing PPI network, key genes related to the prognosis of cervical cancer were screened, and the expression, prognosis and function of key genes in cervical cancer were analyzed and verified.Results A total of 69 cervical cancer differential genes were screened, which were mainly involved in cell mitosis and cell cycle regulation. PPI screened 10 key genes related to cervical cancer, and all of them were up-regulated. The high expression of KIF22 was correlated with the prognosis of cervical cancer (P<0.05). The AUC value of ROC curve of 5 - year survival rate was 0.612 ; the expression of KIF22 in cervical cancer tissues was detected by Western Blot. The results showed that the expression of KIF22 in cervical cancer tissues was higher than that in adjacent normal cervical tissues (P<0.05). Functional enrichment results showed that KIF22 was highly expressed and p53 pathway was significantly enriched.Conclusion KIF22 is highly expressed in cervical cancer, which may be a key gene with good prognosis in patients with cervical cancer, and may become a potential therapeutic target and prognostic biomarker.

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更新日期/Last Update: 1900-01-01