Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes

• Main Authors: Kong, M. (Author), Ma, J. (Author), Wei, Y. (Author), Yang, L. (Author), Zhang, X. (Author)
• Format: Article
• Language: English
• Published: BioMed Central Ltd 2021
• Subjects: adenocarcinoma; Adenocarcinoma; ADRM1 protein, human; Analytical tool; Biomarkers, Tumor; Cox regression analysis; Database systems; Diagnosis; esophagus; Esophagus; Esophagus adenocarcinoma; Esophagus adenocarcinoma (EAC); Forecasting; gene expression regulation; Gene Expression Regulation, Neoplastic; genetics; human; Humans; Immune-related gene; Immune-related genes (IRGs); Intracellular Signaling Peptides and Proteins; Multivariant analysis; prognosis; Prognosis; Prognostic signature; Regression analysis; Regulatory network; Risk assessment; Risk groups; Risk score; signal peptide; Survival rate; TCGA database; Transcription; tumor marker
• Online Access: View Fulltext in Publisher

 Background: Esophageal adenocarcinoma (EAC) is an aggressive malignancy with a poor prognosis. The immune-related genes (IRGs) are crucial to immunocytes tumor infiltration. This study aimed to construct a IRG-related prediction signature in EAC. Methods: The related data of EAC patients and IRGs were obtained from the TCGA and ImmPort database, respectively. The cox regression analysis constructed the prediction signature and explored the transcription factors regulatory network through the Cistrome database. TIMER database and CIBERSORT analytical tool were utilized to explore the immunocytes infiltration analysis. Results: The prediction signature with 12 IRGs (ADRM1, CXCL1, SEMG1, CCL26, CCL24, AREG, IL23A, UCN2, FGFR4, IL17RB, TNFRSF11A, and TNFRSF21) was constructed. Overall survival (OS) curves indicate that the survival rate of the high-risk group is significantly shorter than the low-risk group (P = 7.26e−07), and the AUC of 1-, 3- and 5- year survival prediction rates is 0.871, 0.924, and 0.961, respectively. Compared with traditional features, the ROC curve of the risk score in the EAC patients (0.967) is significant than T (0.57), N (0.738), M (0.568), and Stage (0.768). Moreover, multivariate Cox analysis and Nomogram of risk score are indicated that the 1-year and 3-year survival rates of patients are accurate by the combined analysis of the risk score, Sex, M stage, and Stage (The AUC of 1- and 3-years are 0.911, and 0.853). Conclusion: The 12 prognosis-related IRGs might be promising therapeutic targets for EAC. © 2021, The Author(s).