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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. [ABSTRACT FROM AUTHOR]

MicroRNA (miR) signatures may aid the diagnosis and prediction of cancer; therefore, miRs associated with the prognosis of esophageal squamous cell carcinoma (ESCC) were screened. miR‑sequencing (seq) and mRNA‑seq data from early‑stage ESCC samples were downloaded from The Cancer Genome Atlas (TCGA) database, and samples from subjects with a >6‑month survival time were assessed with Cox regression analysis for prognosis‑associated miRs. A further two miR expression datasets of ESCC samples, GSE43732 and GSE13937, were downloaded from the Gene Expression Omnibus database. Common miRs between prognosis‑associated miRs, and miRs in the GSE43732 and GSE13937, datasets were used for risk score calculations for each sample, and median risk scores were applied for the stratification of low‑ and high‑risk samples. A prognostic scoring system of signature miRs was subsequently constructed and used for survival analysis for low‑ and high‑risk samples. Differentially‑expressed genes (DEGs) corresponding to all miRs were screened and functional annotation was performed. A total of 34 prognostic miRs were screened and a scoring system was created using 10 signature miRs (hsa‑miR‑140, ‑33b, ‑34b, ‑144, ‑486, ‑214, ‑129‑2, ‑374a and ‑412). Using this system, low‑risk samples were identified to be associated with longer survival compared with high‑risk samples in the TCGA and GSE43732 datasets. Age, alcohol and tobacco use, and radiotherapy were prognostic factors for samples with different risk scores and the same clinical features. There were 168 DEGs, and the top 20 risk scores positively‑correlated and the top 20 risk scores negatively‑correlated DEGs were significantly enriched for six and 10 functional terms, respectively. ‘Tight junction’ and ‘melanogenesis’ were two significantly enriched pathways of DEGs. miR‑214, miR‑129‑2, miR‑37a and miR‑486 may predict ESCC patient survival, although further studies to validate this hypothesis are required. [ABSTRACT FROM AUTHOR]

The present study aimed to understand the expression characteristics of epidermal growth factor receptor (EGFR) and vascular endothelial growth factor receptor-2 (VEGFR-2) in individuals of Uygur, Han and Kazak ethnicity with esophageal carcinoma in Xinjiang (China) and their interrelation analysis, and to investigate the expression differences in these genes between esophageal carcinoma and pericarcinoma tissue samples, and between the three ethnic groups. The expression levels of EGFR and VEGFR-2 from 119 pairs of esophageal carcinoma tissue and corresponding pericarcinoma tissue from Uygur, Han and Kazak patients with esophageal carcinoma were detected by immunohistochemistry following surgical resection, and an additional five carcinoma in situ specimens were also tested. The relative expression was analyzed among the ethnic groups and clinicopathological parameters. The positive rate of EGFR in esophageal carcinoma tissue from patients of Uygur, Han and Kazak heritage was 70.73, 68.42 and 67.5%, respectively. For VEGFR-2 the positive rate was 73.17, 68.42 and 67.5%, respectively. No significant difference was detected in their expression between the three ethnic groups (P>0.05); however, EGFR and VEGFR-2 overexpression were correlated with lymph node metastasis (P<0.05). VEGF expression was also correlated with the expression of VEGFR-2 in esophageal carcinoma tissues. EGFR was positive in carcinoma in situ samples, while VEGFR-2 was negative. The overexpression of EGFR is therefore an early event and may have a significant role in the progression of esophageal carcinoma pathogenesis. EGFR overexpression may correlate with the expression of VEGFR-2 in esophageal cancer. These results may aid the early diagnosis of esophageal cancer, and the development of individual target treatment in the future. [ABSTRACT FROM AUTHOR]