Clinical Research
Identification of prognostic genes in esophageal squamous cell carcinoma immune microenvironment based on the cancer genome atlas data analysis
Li Rongbin, Liu Huiyong, Chen Feng, Xu Jie, Chen Zhiyao
Published 2023-12-08
Cite as Chin J Exp Surg, 2023, 40(12): 2614-2617. DOI: 10.3760/cma.j.cn421213-20230513-01150
Abstract
ObjectiveTo identify the prognostic genes in the esophageal squamous cell carcinoma (ESCC) immune microenvironment based on the cancer genome atlas (TCGA) data analysis.
MethodsThe expression profile and clinicopathological information of patients with ESCC were downloaded from TCGA database. The immune score and stromal score of patients were calculated using the ESTIMATE algorithm. The relationship between immune/stromal scores based on the different clinicopathological characteristics and the survival prognosis of patients was analyzed. Differentially expressed genes (DEGs) were identified according to the score, followed by gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analysis. The prognostic genes in ESCC were identified. Protein-protein interaction (PPI) network analysis was performed on these DEGs. Finally, DEGs was verified by comparison of clinical samples.Kaplan-Meier Survival Analysis was used to calculate the relationship between DEGs and the Survival time. A two-tailed t-test was used to compare the data of immune/stromal scores .
ResultsThe prognosis of patients with ESCC was related to immune and stromal scores based on lymph node metastasis. The survival rate of the high immune score group was lower than that of the low score group (P>0.05); the survival rate of the high stromal score group was significantly lower than that of the low score group (P<0.01). 223 DEGs were screened according to immune/stromal scores using the ESTIMATE algorithm. The selected DEGs were mainly related to the plasma membrane, immune response and inflammatory response using GO and KEGG analysis. And prognostic 68 genes were identified. The core genes included CD86, LCP2, TLR7, CSF1R, C1QA, IRF8, CTLA4, and so on were verified using PPI network analysis. Comparison of clinical samples suggested that the expression of 10 identified genes in normal tissues and esophageal squamous cell carcinoma tissues was statistically significant (P<0.05).
ConclusionThe tumor microenvironment-related genes that have prognostic value could be used as therapeutic targets genes for patients with ESCC.
Key words:
The cancer genome atlas; Tumor microenvironment; Esophageal squamous cell carcinoma
Contributor Information
Li Rongbin
Department of Thoracic Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
Liu Huiyong
Department of Gastrointestinal and Esophageal Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
Chen Feng
Department of Gastrointestinal and Esophageal Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
Xu Jie
Department of Gastrointestinal and Esophageal Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
Chen Zhiyao
Department of Gastrointestinal and Esophageal Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
