ArticleJournal of immunology (Baltimore, Md. : 1950)2022
Immune Subtypes and Immune Landscape Analysis of Endometrial Carcinoma.
Article in Journal of immunology (Baltimore, Md. : 1950), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Current evidence and emerging approaches in immunotherapy for gynecological cancers.Discover oncology · 2026Review
- Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.Frontiers in immunology · 2025Review
- Revolutionizing cervical cancer treatment: single-cell sequencing ofFrontiers in immunology · 2025Article
- Single-cell and spatial atlas of glioblastoma heterogeneity: characterizing theFrontiers in immunology · 2025Article
- Identification of the prognostic immune subtype in copy-number high endometrial cancer.Journal of gynecologic oncology · 2024Article
- Tumor Immune Microenvironment in Gynecologic Cancers.Cancers · 2023Review
- Construction of a prognostic 6-gene signature for breast cancer based on multi-omics and single-cell data.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Some patients with endometrial cancer (EC) suffer from limited survival benefits after immunotherapy, suggesting that there may be a specific pattern associated with immunotherapy. Immune-related genes were extracted from The Cancer Genome Atlas databases. We analyzed the differences among immune subtypes (ISs) in the distribution of the tumor mutational burden, chemotherapy-induced immune response markers, immune checkpoint-related genes, immunotherapy, and chemotherapy. We applied dimensionality reduction and defined the immune landscape of EC. Then, we used the Weighted Gene Co-Expression Network Analysis package to identify the coexpression modules of these immune genes. Finally, hub genes were selected and detected by quantitative PCR and immunohistochemistry. We obtained three ISs. There were differences in the distribution of the tumor mutational burden, chemotherapy-induced immune response markers, and immune checkpoint-related genes among the ISs. Regarding immunotherapy and chemotherapy, the IS2 subtypes were more sensitive to programmed cell death protein 1 inhibitors. In addition, different positions in the immune landscape map exhibited different prognostic characteristics, providing further evidence of the ISs. The IS2 subtypes were significantly positively correlated with yellow module gene list, indicating a good prognosis with high score. SIRPG and SLAMF1 were identified as the final characteristic genes. The quantitative PCR and immunohistochemistry results showed that the expression levels of SIRPG and SLAMF1 were low in human EC tissue. In this study, we identified three reproducible ISs of EC. The immune landscape analysis further revealed the intraclass heterogeneity of the ISs. SIRPG and SLAMF1 were identified to be associated with progression, suggesting that they may be novel immune-related biomarkers of EC.
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Registered trials
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