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Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration

BACKGROUND: Endometriosis (EMS) occurs when normal uterine tissue grows outside the uterus and causes chronic pelvic pain and infertility. Endometriosis-associated infertility is thought to be caused by unknown mechanisms. In this study, using necroptosis-related genes, we developed and validated mu...

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Autores principales: Wang, Xuezhen, Zheng, Qin, Sun, Man, Liu, Luotong, Zhang, Huan, Ying, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566087/
https://www.ncbi.nlm.nih.gov/pubmed/37817158
http://dx.doi.org/10.1186/s12905-023-02668-7
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author Wang, Xuezhen
Zheng, Qin
Sun, Man
Liu, Luotong
Zhang, Huan
Ying, Weiwei
author_facet Wang, Xuezhen
Zheng, Qin
Sun, Man
Liu, Luotong
Zhang, Huan
Ying, Weiwei
author_sort Wang, Xuezhen
collection PubMed
description BACKGROUND: Endometriosis (EMS) occurs when normal uterine tissue grows outside the uterus and causes chronic pelvic pain and infertility. Endometriosis-associated infertility is thought to be caused by unknown mechanisms. In this study, using necroptosis-related genes, we developed and validated multigene joint signatures to diagnose EMS and explored their biological roles. METHODS: We downloaded two databases (GSE7305 and GSE1169) from the Gene Expression Omnibus (GEO) database and 630 necroptosis-related genes from the GeneCards and GSEA databases. The limma package in Rsoftware was used to identify differentially expressed genes (DEGs). We interleaved common differentially expressed genes (co-DEGs) and necroptosis-related genes (NRDEGs) in the endometriosis dataset. The DEGs functions were reflected by gene ontology analysis (GO), pathway enrichment analysis, and gene set enrichment analysis (GSEA). We used CIBERSORT to analyze the immune microenvironment differences between EMS patients and controls. Furthermore, a correlation was found between necroptosis-related differentially expressed genes and infiltrating immune cells to better understand the molecular immune mechanism. RESULTS: Compared with the control group, this study revealed that 10 NRDEGs were identified in EMS. There were two types of immune cell infiltration abundance (activated NK cells and M2 macrophages) in these two datasets, and the correlation between different groups of samples was statistically significant (P < 0.05). MYO6 consistently correlated with activated NK cells in the two datasets. HOOK1 consistently demonstrated a high correlation with M2 Macrophages in two datasets. The immunohistochemical result indicated that the protein levels of MYO6 and HOOK1 were increased in patients with endometriosis, further suggesting that MYO6 and HOOK1 can be used as potential biomarkers for endometriosis. CONCLUSIONS: We identified ten necroptosis-related genes in EMS and assessed their relationship with the immune microenvironment. MYO6 and HOOK1 may serve as novel biomarkers and treatment targets in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02668-7.
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spelling pubmed-105660872023-10-12 Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration Wang, Xuezhen Zheng, Qin Sun, Man Liu, Luotong Zhang, Huan Ying, Weiwei BMC Womens Health Research BACKGROUND: Endometriosis (EMS) occurs when normal uterine tissue grows outside the uterus and causes chronic pelvic pain and infertility. Endometriosis-associated infertility is thought to be caused by unknown mechanisms. In this study, using necroptosis-related genes, we developed and validated multigene joint signatures to diagnose EMS and explored their biological roles. METHODS: We downloaded two databases (GSE7305 and GSE1169) from the Gene Expression Omnibus (GEO) database and 630 necroptosis-related genes from the GeneCards and GSEA databases. The limma package in Rsoftware was used to identify differentially expressed genes (DEGs). We interleaved common differentially expressed genes (co-DEGs) and necroptosis-related genes (NRDEGs) in the endometriosis dataset. The DEGs functions were reflected by gene ontology analysis (GO), pathway enrichment analysis, and gene set enrichment analysis (GSEA). We used CIBERSORT to analyze the immune microenvironment differences between EMS patients and controls. Furthermore, a correlation was found between necroptosis-related differentially expressed genes and infiltrating immune cells to better understand the molecular immune mechanism. RESULTS: Compared with the control group, this study revealed that 10 NRDEGs were identified in EMS. There were two types of immune cell infiltration abundance (activated NK cells and M2 macrophages) in these two datasets, and the correlation between different groups of samples was statistically significant (P < 0.05). MYO6 consistently correlated with activated NK cells in the two datasets. HOOK1 consistently demonstrated a high correlation with M2 Macrophages in two datasets. The immunohistochemical result indicated that the protein levels of MYO6 and HOOK1 were increased in patients with endometriosis, further suggesting that MYO6 and HOOK1 can be used as potential biomarkers for endometriosis. CONCLUSIONS: We identified ten necroptosis-related genes in EMS and assessed their relationship with the immune microenvironment. MYO6 and HOOK1 may serve as novel biomarkers and treatment targets in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02668-7. BioMed Central 2023-10-11 /pmc/articles/PMC10566087/ /pubmed/37817158 http://dx.doi.org/10.1186/s12905-023-02668-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Xuezhen
Zheng, Qin
Sun, Man
Liu, Luotong
Zhang, Huan
Ying, Weiwei
Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title_full Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title_fullStr Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title_full_unstemmed Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title_short Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
title_sort signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566087/
https://www.ncbi.nlm.nih.gov/pubmed/37817158
http://dx.doi.org/10.1186/s12905-023-02668-7
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