ArticleJournal of gastrointestinal oncology2022
The prognostic value of an immune-related gene signature and infiltrating tumor immune cells based on bioinformatics analysis in primary esophageal cancer.
Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Neutrophil-related signature characterizes immune landscape and predicts prognosis of esophageal squamous cell carcinoma.Open life sciences · 2025Article
- Development and validation of a prognostic model based on RNA binding proteins in patients with esophageal cancer.Journal of thoracic disease · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Background: Immunotherapy is a promising novel treatment for esophageal cancer (ESCA). However, previous studies provide limited direct information about the prognostic significance of immune-related genes (IRGs) in primary ESCA development. This study explored the prognostic value of IRGs and infiltrating tumor immune cells in primary ESCA. Methods: The ribonucleic acid (RNA)-sequencing data and clinical information of primary ESCA were downloaded from The Cancer Genome Atlas (TCGA) database. Which included the clinical factors and prognosis outcomes of the ESCA patients. The IRGs were downloaded from the ImmPORT database. Results: We established the robust IRG prognostic signature of 4 IRGs (i.e., heat shock protein family A member 6, Oncostatin M, androgen receptor, and nuclear receptor subfamily 2 group F member 2) in primary ESCA, and divided the ESCA patients into high- and low-risk groups based on overall survival (OS). The Kaplan-Meier curves showed the high predictive ability of the prognostic signature in the training, testing, and full data sets (P=2.407e-03, P=1.044e-02, and P=2.535e-04, respectively). Multivariate Cox regression analyses were performed with age, grade, tumor stage, tumor type and the risk score as covariables. The risk score supports the use of a prognostic signature as an independent prognostic factor [training data set: hazard ratio (HR) =1.185, 95% confidence interval (95% CI): 1.013-1.388, P=0.034; testing data set: HR =2.056, 95% CI: 1.015-4.166, P=0.045; full data set: HR =1.197, 95% CI: 1.059-1.354, P=0.004]. The area under the curve (AUC) of the receiver operating characteristic curve validated the high predictive accuracy of the IRG signature in the training, testing, and full data set (AUCs =0.808, 0.657, and 0.751, respectively). The infiltration level of the activated mast cells was significantly higher in the high-risk group than the low-risk group; thus, infiltrating mast cells are associated with worse OS in ESCA patients. Conclusions: Our IRG prognostic signature provides a new direction to predict the survival of primary ESCA patients and has the potential ability to establish, promote, and improve personalized treatment procedures based on each patient's risk.
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