Dataset Information

Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis.

ABSTRACT:

Introduction

Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls, as well as to investigate potential prognostic markers in RIF.

Methods

GSE103465, and GSE111974 datasets from the Gene Expression Omnibus database were obtained to screen DEGs between RIF and control groups. Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes Pathway analysis, Gene Set Enrichment Analysis, and Protein-protein interactions analysis were performed to investigate potential biological functions and signaling pathways. CIBERSORT was used to describe the level of immune infiltration in RIF, and flow cytometry was used to confirm the top two most abundant immune cells detected.

Results

122 downregulated and 66 upregulated DEGs were obtained between RIF and control groups. Six immune-related hub genes were discovered, which were involved in Wnt/-catenin signaling and Notch signaling as a result of our research. The ROC curves revealed that three of the six identified genes (AKT1, PSMB8, and PSMD10) had potential diagnostic values for RIF. Finally, we used cMap analysis to identify potential therapeutic or induced compounds for RIF, among which fulvestrant (estrogen receptor antagonist), bisindolylmaleimide-ix (CDK and PKC inhibitor), and JNK-9L (JNK inhibitor) were thought to influence the pathogenic process of RIF. Furthermore, our findings revealed the level of immune infiltration in RIF by highlighting three signaling pathways (Wnt/-catenin signaling, Notch signaling, and immune response) and three potential diagnostic DEGs (AKT1, PSMB8, and PSMD10).

Conclusion

Importantly, our findings may contribute to the scientific basis for several potential therapeutic agents to improve endometrial receptivity.

SUBMITTER: Lai ZZ

PROVIDER: S-EPMC9909740 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis.

Lai Zhen-Zhen ZZ Zhang Jie J Zhou Wen-Jie WJ Shi Jia-Wei JW Yang Hui-Li HL Yang Shao-Liang SL Wu Jiang-Nan JN Xie Feng F Zhang Tao T Li Ming-Qing MQ

Frontiers in immunology 20230126

<h4>Introduction</h4>Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls, as well as to investigate potential prognostic markers in RIF.<h4>Methods</h4>GSE103465, and GSE111974 datasets from the Gene Expression Omnibus database were obtained to screen DEGs between RI ...[more]

PMID: 36776897

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Dataset Information

Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis.

Introduction

Methods

Results

Conclusion

Publications

Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis.

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