ArticleJournal of gynecologic oncology2021
Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer.
Article in Journal of gynecologic oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Advances in S100 protein family for gynecological malignancies.Discover oncology · 2025Review
- Establishment and verification of a prognostic signature associated with fatty acid metabolism in endometrial cancer.Molecular medicine reports · 2025Article
- Article
- Presence of regulatory T-cells in endometrial cancer predicts poorer overall survival and promotes progression of tumor cells.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- Diagnostic and prognostic role of basic leucine zipper transcription factor in kidney renal clear cell carcinoma.Translational andrology and urology · 2022Article
- Evidence of Omics, Immune Infiltration, and Pharmacogenomics for BATF in a Pan-Cancer Cohort.Frontiers in molecular biosciences · 2022Article
- Identification of the prognostic value of a 2-gene signature of the WNT gene family in UCEC using bioinformatics and real-world data.Cancer cell international · 2021Article
- Injection rate of contrast medium affects diagnostic ability of dynamic contrast-enhanced magnetic resonance imaging for endometrial carcinoma: a prospective cohort study.Gland surgery · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAimed to construct an immune-related risk signature and nomogram predicting endometrial cancer (EC) prognosis.
methodsAn immune-related risk signature in EC was constructed using the least absolute shrinkage and selection operator regression analysis based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A nomogram integrating the immune-related genes and the clinicopathological characteristics was established and validated using the Kaplan-Meier survival curve and receiver operating characteristic (ROC) curve to predict the overall survival (OS) of EC patients. The Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) R tool was used to explore the immune and stromal scores.
resultsCCL17, CTLA4, GPI, HDGF, HFE2, ICOS, IFNG, IL21R, KAL1, NR3C1, S100A2, and S100A9 were used in developing an immune-related risk signature evaluation model. The Kaplan-Meier curve indicated that patients in the low-risk group had better OS (p<0.001). The area under the ROC curve (AUC) values of this model were 0.737, 0.764, and 0.782 for the 3-, 5-, and 7-year OS, respectively. A nomogram integrating the immune-related risk model and clinical features could accurately predict the OS (AUC=0.772, 0.786, and 0.817 at 3-, 5-, and 7-year OS, respectively). The 4 immune cell scores were lower in the high-risk group. Forkhead box P3 (FOXP3) and basic leucine zipper ATF-like transcription factor (BATF) showed a potential significant role in the immune-related risk signature.
conclusionTwelve immune-related genes signature and nomogram for assessing the OS of patients with EC had a good practical value.
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