ArticleBMC medical genomics2023
Identification of the role of endoplasmic reticulum stress genes in endometrial cancer and their association with tumor immunity.
Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 11 citations in OpenAlex.
- Regulatory Mechanisms of XBP1 in Tumorigenesis and Cancer Progression: Challenges and Therapeutic Strategies.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Article
- Recent advances in characterizing the immune microenvironment and biomarkers of endometrial carcinoma.Frontiers in immunology · 2026Review
- A Novel Prognostic Signature Composed of Autophagy and Liver Metastasis in Colorectal Cancer: Comprehensive Analysis of Bulk and Single-Cell Transcriptomic Data.ImmunoTargets and therapy · 2026Article
- Identification of endoplasmic reticulum stress-related genes as prognostic markers in colon cancer.Cancer biology & therapy · 2025Article
- The Role of Endoplasmic Reticulum Stress and Unfolded Protein Response in Gynecological Cancers: A Narrative Review.Cureus · 2025Review
- SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025Review
- Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.Frontiers in genetics · 2025Article
- Remodeling the tumor microenvironment: regulatory effects of β-sitosterol and luteolin on the immunosuppressive milieu in endometrial carcinoma and implications for combinatorial immunotherapy.Frontiers in immunology · 2025Review
- Molecular subtype identification and prognosis stratification based on golgi apparatus-related genes in head and neck squamous cell carcinoma.BMC medical genomics · 2024Article
- Independent organelle and organelle-organelle interactions: essential mechanisms for malignant gynecological cancer cell survival.Frontiers in immunology · 2024Review
- Construction and verification of an endoplasmic reticulum stress-related prognostic model for endometrial cancer based on WGCNA and machine learning algorithms.Frontiers in oncology · 2024Article
- Unfolded protein response complexity in gynecological tumor dynamics: therapeutic challenges and future perspectives.Cell cycle (Georgetown, Tex.)Review
- Immunohistochemical Expression of Endoplasmic Reticulum Stress Markers and their Association With Clinicopathological Characteristics and Survival Outcomes in Endometrial Cancer.Cancer diagnosis & prognosisArticle
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometrial cancer (EC) is one of the worldwide gynecological malignancies. Endoplasmic reticulum (ER) stress is the cellular homeostasis disturbance that participates in cancer progression. However, the mechanisms of ER Stress on EC have not been fully elucidated.
methodThe ER Stress-related genes were obtained from Gene Set Enrichment Analysis (GSEA) and GeneCards, and the RNA-seq and clinical data were downloaded from The Cancer Genome Atlas (TCGA). The risk signature was constructed by the Cox regression and the least absolute shrinkage and selection operator (LASSO) analysis. The significance of the risk signature and clinical factors were tested by time-dependent receiver operating characteristic (ROC) curves, and the selected were to build a nomogram. The immunity correlation was particularly analyzed, including the related immune cells, pathways, and immune checkpoints. Functional enrichment, potential chemotherapies, and in vitro validation were also conducted.
resultAn ER Stress-based risk signature, consisting of TRIB3, CREB3L3, XBP1, and PPP1R15A was established. Patients were randomly divided into training and testing groups with 1:1 ratio for subsequent calculation and validation. Based on risk scores, high- and low-risk subgroups were classified, and low-risk subgroup demonstrated better prognosis. The Area Under Curve (AUC) demonstrated a reliable predictive capability of the risk signature. The majority of significantly different immune cells and pathways were enriched more in low-risk subgroup. Similarly, several typical immune checkpoints, expressed higher in low-risk subgroup. Patients of the two subgroups responded differently to chemotherapies.
conclusionWe established an ER Stress-based risk signature that could effectively predict EC patients' prognosis and their immune correlation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.