RESUMO
The aim of the present study was to investigate the association between tumor protein 53 (TP53) gene deletion and protein expression and clinical features in esophageal squamous cell carcinoma (ESCC), and to evaluate the predictive value of these two characteristics in the prognosis of ESCC. Immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) were performed to detect the expression of p53 protein and gene deletion in ESCC tissue samples from different ethnic groups in Xinjiang, in order to analyze their association with clinicopathological characteristics and patient prognosis, as well as the sensitivity and specificity of the two methods. In addition, the results were further validated by tissue microarray from a different region. The positive rate of p53 protein expression was 54.5% (201/369) in the multi-ethnic group, and was significantly different between sex (P=0.026) and between tumor differentiation groups (P=0.032). FISH demonstrated that the TP53 gene deletion rate was 31.8% (68/214), which was significantly different between different tumor differentiation (P=0.002), lymph node metastasis (P=0.005) and vascular invasion (P<0.001) groups. The survival rate of patients with TP53 gene deletion was significantly lower than those without TP53 gene deletion (P<0.05). The positive rate of p53 protein expression in the tissue microarray was 58.1% (68/117), which was significantly different between the depth of invasion groups (P=0.011). The TP53 gene deletion rate was 47.9% (56/117), which significantly differed according to lymph node metastasis (P=0.003) and TNM stage (P=0.01). In addition, the total concordance rates of the two methods were 60.3 and 64.1%, respectively. There were also significant differences in the positive rate of TP53 gene deletion and protein expression in different stages of ESCC (P<0.05), which increased gradually with the progression of ESCC. The deletion of the TP53 gene in esophageal cancer was associated with poor prognosis and may be an important biomarker for evaluating the prognosis of patients with ESCC. The combination of FISH and IHC methods could significantly improve the detection rate of TP53 gene abnormalities and the accuracy of prognostic assessment of ESCC.
