OBJECTIVE: To analyze the correlation of methylation status of dachshund homolog 1 (DACH1) gene in tumor tissues with clinicopathological characteristics and prognosis of patients of esophageal cancer. METHODS: Tumor tissue, paracancerous tissue and normal esophageal mucosal specimens of 104 patients with esophageal cancer were collected. Methylation-specific PCR was used to determine the methylation status of the DACH1 gene. Univariate analysis and multivariate Logistic regression model were used to analyze the correlation between DACH1 methylation status and clinical pathological characteristics of the patients. Kaplan-Meier survival curve was used to analyze the relationship between DACH1 methylation status and prognostic survival of patients. RESULTS: The methylation rate of the DACH1 gene in esophageal cancer tumor tissue was 30.77% (32/104), which was higher than those in adjacent tissues (1.92%) and normal esophageal mucosa (0%) (P< 0.05). The methylation status of the DACH1gene in tumor tissues of patients did not correlate with the patient's age, gender, and pathological type (P> 0.05) but tumor differentiation, TNM staging, and lymph node metastasis(P< 0.05). The degree of tumor differentiation, TNM stage, and lymph node metastasis of patients are independent risk factors for the methylation status of the DACH1 gene. By March 2020, 89 of the 104 patients had died. Among them, the median survival foresophageal cancer patients with DACH1 gene methylation was 22 months, which was lower than 34 months of those without DACH1 methylation (P< 0.05). CONCLUSION Methylation of the DACH1 gene may be involved in the occurrence and progress of esophageal cancer. The degree of tumor differentiation, TNM stage, and lymph node metastasis of patients are independent risk factors for the methylation status of the DACH1 gene. Patients with esophageal cancer but unmethylated DACH1 gene have a longer prognostic survival.
Esophageal Neoplasms/pathology* ; Eye Proteins/genetics* ; Humans ; Lymphatic Metastasis ; Methylation ; Neoplasm Staging ; Prognosis ; Transcription Factors