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

doi:10.3969/j.issn.1671-2587.2023.06.013

JOURNAL OF CLINICAL TRANSFUSION AND LABORATORY MEDICINE ›› 2023, Vol. 25 ›› Issue (6): 789-797.DOI: 10.3969/j.issn.1671-2587.2023.06.013

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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

Abstract

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

CLC Number:

R457

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

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