基于生物信息学探究红细胞储存时间对子宫内膜癌的影响

doi:10.3969/j.issn.1671-2587.2023.06.013

临床输血与检验 ›› 2023, Vol. 25 ›› Issue (6): 789-797.DOI: 10.3969/j.issn.1671-2587.2023.06.013

基于生物信息学探究红细胞储存时间对子宫内膜癌的影响

郭彬瀚, 叶萍, 陈剑, 凤婧, 江咏梅

四川大学华西第二医院医学检验科 610041; 出生缺陷与相关妇儿疾病教育部重点实验室（四川大学） 610041

收稿日期:2023-11-07 出版日期:2023-12-20 发布日期:2024-01-15
通讯作者: 江咏梅,主要从事临床检验诊断学研究,（E-mail）yongmei_jiang@163.com。
作者简介:郭彬瀚,主要从事临床检验诊断学研究,（E-mail）2183983697@qq.com。

Exploring the Effect of Red Blood Cell Storage Time on Endometrial Cancer Based on Bioinformatics

GUO Binhan, YE Ping, CHEN Jian, et al

Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041

Received:2023-11-07 Online:2023-12-20 Published:2024-01-15

摘要/Abstract

摘要： 目的 miRNA主要通过基因沉默参与基因表达的转录后调控。本研究基于生物信息学分析推测,临床输血治疗中不同储存时间红细胞中含有的miRNA通过靶基因及其介导的分子信号通路在肿瘤进展和预后中发挥着潜在的影响。方法通过基因表达综合数据库（gene expression omnibus,GEO）以及癌症基因组图谱数据库（the cancer genome atlas, TCGA）筛选差异表达的miRNAs（DEmiRNAs）和mRNAs（DEmRNAs）。通过对miRNA靶基因进行通路富集分析,并与DEmRNAs进行整合后,筛选出候选基因,建立风险因子预测模型,通过生存分析及ROC曲线评估模型可靠性。结果相较于GSE114990数据集中储存第1天,第7天和第28天数据分别鉴定出27和22个DEmiRNAs。经过筛选、预测以及整合分析,选择miR-381及其候选18个靶基因构建风险因子预测模型,揭示了不同风险组之间生存率的显著差异,并鉴定出miR-381-靶基因（NR3C1、TSHZ3、LIPG和DLC1）-肿瘤的潜在分子信号通路。结论本研究结果表明,在接受不同储存时间红细胞的子宫内膜癌患者中,基于“miR-381-靶基因-肿瘤”信号轴的的潜在分子机制可能会影响疾病的进展和预后。

关键词: miRNA, mRNA, 输血, 肿瘤, 生物信息学

Abstract: Objective miRNA mainly participates in the post transcriptional regulation of gene expression through gene silencing. The present study speculates that miRNAs contained in red blood cell (RBC) at different storage times during clinical transfusion might play a potential role in tumor progression and prognosis through target genes and their mediated molecular signaling pathways based on bioinformatics analysis. Methods Differential expression miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) were screened out using the Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases. By conducting pathway enrichment analysis on miRNA target genes and integrating with DEmRNAs, candidate genes were selected out, and a risk factor prediction model was established. The reliability of the model was evaluated through survival analysis and ROC curve. Results Compared with the GSE114990 data set on day 1, totally 27 and 22 DemiRNAs were identified on day 7 and 28, respectively. After screening, prediction, and integration analysis, miR-381 and candidate 18 target genes were selected to construct risk factors prediction model, which revealing significant differences in survival rates among different risk groups, and speculating a potential molecular signaling pathways of miR-381-target genes (NR3C1, TSHZ3, LIPG, and DLC1)-tumors. Conclusion The results of our study indicate that the potential molecular mechanism based on the "miR-381 target gene-tumor" signal axis may affect disease progression and prognosis in endometrial cancer patients receiving RBC of different storage times.

Key words: miRNA, mRNA, Transfusion, Tumor, Bioinformatics

中图分类号:

R457

郭彬瀚, 叶萍, 陈剑, 凤婧, 江咏梅. 基于生物信息学探究红细胞储存时间对子宫内膜癌的影响[J]. 临床输血与检验, 2023, 25(6): 789-797.

GUO Binhan, YE Ping, CHEN Jian, et al. Exploring the Effect of Red Blood Cell Storage Time on Endometrial Cancer Based on Bioinformatics[J]. JOURNAL OF CLINICAL TRANSFUSION AND LABORATORY MEDICINE, 2023, 25(6): 789-797.

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基于生物信息学探究红细胞储存时间对子宫内膜癌的影响

Exploring the Effect of Red Blood Cell Storage Time on Endometrial Cancer Based on Bioinformatics

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