Author:
Zhang Zhi,Chen Cheng,Fang Ying,Li Sheng,Wang Xiaohua,Sun Lei,Zhou Guoren,Ye Jinjun
Abstract
Abstract
Background
Function of the immune system is correlated with the prognosis of the tumor. The effect of immune microenvironment on esophageal cancer (EC) development has not been fully investigated.
Methods
This study aimed to explore a prognostic model based on immune-related genes (IRGs) for EC. We obtained the RNA-seq dataset and clinical information of EC from the Cancer Genome Atlas (TCGA).
Results
We identified 247 upregulated IRGs and 56 downregulated IRGs. Pathway analysis revealed that the most differentially expressed IRGs were enriched in Cytokine-cytokine receptor interaction. We further screened 13 survival-related IRGs and constructed regulatory networks involving related transcription factors (TFs). Finally, a prognostic model was constructed with 9 IRGs (HSPA6, S100A12, CACYBP, NOS2, DKK1, OSM, STC2, NGPTL3 and NR2F2) by multivariate Cox regression analysis. The patients were classified into two subgroups with different outcomes. When adjusted with clinical factors, this model was verified as an independent predictor, which performed accurately in prognostic prediction. Next, M0 and M2 macrophages and activated mast cells were significantly enriched in high-risk group, while CD8 T cells and regulatory T cells (Tregs) were significantly enriched in low-risk group.
Conclusions
Prognosis related IRGs were identified and a prognostic signature for esophageal cancer based on nine IRGs was developed.
Funder
Six Talent Peaks Project in Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Genetics,Oncology
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