Identification of immunogenic cell death‐associated subtypes and characterization of the tumor microenvironment in endometrial cancer

Author:

Pan Fang1,Luo Yonghua2,Wang Lanyu3,Cheng Yulan4,Bu Wenxia4,Zhao Xinyuan4,Xu Yiwen5,Chen Lin6,Wang Hongxing1

Affiliation:

1. Nantong Maternal and Child Health Hospital Affiliated to Nantong University Nantong China

2. Nantong Fourth People's Hospital Nantong China

3. Department of Urology Wuxi People's Hospital Affiliated to Nanjing Medical University Wuxi China

4. Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health Nantong University Nantong China

5. Department of Endocrinology the First Affiliated Hospital of Nanjing Medical University Nanjing China

6. Nantong Institute of Liver Diseases Nantong Third People's Hospital Affiliated Nantong Hospital of Nantong University Nantong China

Abstract

AbstractImmunogenic cell death (ICD) is one of the mechanisms regulating cell death, which activates adaptive immunity in immunocompetent hosts and is associated with tumor progression, prognosis and therapeutic response. Endometrial cancer (EC) is one of the most common malignancies of the female genital tract, and the potential role of immunogenic cell death‐related genes (IRGs) in the tumor microenvironment (TME) remains unclear. We describe the variation of IRGs and assess the expression patterns in EC samples from The Cancer Genome Atlas and Gene Expression Omnibus cohorts. Based on the expression of 34 IRGs, we identified two different ICD‐related clusters and subsequently differentially expressed genes between the two ICD‐related clusters were used for the identification of two ICD gene clusters. We identified the clusters and found that alterations in the multilayer IRG were associated with patient prognosis and TME cell infiltration characteristics. On this basis, ICD score risk scores were calculated, and ICD signatures were constructed and validated for their predictive power in EC patients. To help clinicians better apply the ICD signature, an accurate nomogram was constructed. The low ICD risk group was characterized by high microsatellite instability, high tumor mutational load, high IPS score and stronger immune activation. Our comprehensive analysis of IRGs in EC patients suggested a potential role in the tumor immune interstitial microenvironment, clinicopathological features and prognosis. These findings may improve our understanding of the role of ICDs, and provide a new basis for assessing prognosis and developing more effective immunotherapeutic strategies in EC.

Publisher

Wiley

Subject

Genetics (clinical),Drug Discovery,Genetics,Molecular Biology,Molecular Medicine

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