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Quantitative immunohistochemistry (IHC) analysis of biomarker combinations for human esophageal squamous cell carcinoma

增殖细胞核抗原 免疫组织化学 生物标志物 表皮生长因子受体 医学 血管内皮生长因子 食管鳞状细胞癌 接收机工作特性 病理 癌症研究 肿瘤科 癌症 内科学 血管内皮生长因子受体 生物 生物化学
作者
Jiebing Gao,Xinglin Li,Dan Li,Ye Liu,Wanwei Cao,Xiaoyun Chen,Zhijun Li,Xiaojing Wang,Qingdong Cao,Tukang Peng,Hongjun Jin,Hong Shan
出处
期刊:Annals of Translational Medicine [AME Publishing Company]
卷期号:9 (13): 1086-1086 被引量:3
标识
DOI:10.21037/atm-21-2950
摘要

Background: Esophageal squamous carcinoma (ESCC) is one of the most common cancers in developing countries. However, currently there are no specific biomarkers for ESCC. This study evaluated the expression of proliferating cell nuclear antigen (PCNA), tumor suppressor protein p53, epidermal growth factor receptor (EGFR), and vascular endothelial growth factor (VEGF) as biomarkers for ESCC.Methods: This study included 60 clinical cases (30 ESCC and 30 non-ESCC cases that were confirmed pathologically). The expression of PCNA, p53, EGFR, and VEGF were investigated using a quantitative computerized immunohistochemistry (IHC) method. The expression level of each protein was indicated by a H-score from the quantitative analysis. Receiver operating characteristic curve (ROC) and area under curve (AUC) analyses were performed. The sensitivity and specificity of each individual protein and combinations of the proteins were calculated.Results: The H-score analysis indicated that expressions of EGFR, PCNA, and VEGF were statistically significantly higher in ESCC than non-ESCC patients; however, p53 was not. The panels of combinations of these proteins were more sensitive than that of any single protein. In the triplicate combination, the AUC prediction probability increased to 0.86, while the single protein AUC prediction probabilities were 0.74 (EGFR), 0.80 (PCNA), and 0.70 (VEGF).Conclusions: The high expression of PCNA, EGFR, and VEGF suggests that they are potential biomarkers for ESCC. The combination of these biomarkers may provide targets for molecular therapy and molecular imaging.

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