The prognostic value of an immune-related gene signature and infiltrating tumor immune cells based on bioinformatics analysis in primary esophageal cancer |
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Authors: | Hailei Du Shuai Pang Yong Li Lianggang Zhu Junbiao Hang Ling Chen |
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Affiliation: | 1.Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;2.Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Abstract: | BackgroundImmunotherapy 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.MethodsThe 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.ResultsWe 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.ConclusionsOur 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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Keywords: | Immune-related genes (IRGs) esophageal cancer (ESCA) The Cancer Genome Atlas (TCGA) prognostic signature |
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