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.
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http://dx.doi.org/10.1186/s12905-023-02668-7 | DOI Listing |
J Adv Res
January 2025
Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan 250012 China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan 250012 China. Electronic address:
Introduction: Pancreatic cancer (PC) cannot currently be completely cured and has a poor prognosis. Necroptosis is a distinct form of regulated cell death that differs from both necrosis and apoptosis. Understanding the role of necroptosis during PC progression would open new avenues for targeted therapy.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377 Munich, Germany.
This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC.
View Article and Find Full Text PDFBMC Cancer
January 2025
The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Children's Hospital, Wuxi, 214023, China.
Background: Acute myeloid leukemia (AML) is an aggressive hematological neoplasm. Little improvement in survival rates has been achieved over the past few decades. Necroptosis has relationship with certain types of malignancies outcomes.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Center of Innovative Drug Research and Evaluation, Hebei Medical University, Shijiazhuang, People's Republic of China.
Background: Recent studies have shown necroptosis may play a role in the development of inflammation-associated pain. However, research on the correlation between necroptosis-related genes and neuropathic pain in the dorsal root ganglia (DRG) is limited. This study aims to identify a gene signature related to necroptosis in DRG that can predict neuropathic pain.
View Article and Find Full Text PDFClin Breast Cancer
December 2024
Department of Experimental Medicine & Biotechnology, PGIMER, Chandigarh, India. Electronic address:
Breast cancer (BC) now holds the top position as the primary reason of cancer-related fatalities worldwide, overtaking lung cancer. BC is classified into diverse categories depending on histopathological type, hormone receptor status, and gene expression profile, with ongoing evolution in their classifications. Cancer initiates and advances when there is a disruption in cell death pathways.
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