机构:[1]Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[2]Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[3]Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[4]Department of Pathology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[5]Department of Radiology, Zhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan, China[6]Department of Cardiothoracic Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
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.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.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).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.2021 Annals of Translational Medicine. All rights reserved.
基金:
the National Key R&D Program of China (2018YFC091060), the National Natural Science Foundation of China (81871382) and Key Realm R&D Program of Guangdong Province (2018B030337001).
语种:
外文
PubmedID:
中科院(CAS)分区:
出版当年[2020]版:
大类|3 区医学
小类|3 区医学:研究与实验3 区肿瘤学
最新[2025]版:
无
第一作者:
第一作者机构:[1]Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[2]Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
通讯作者:
通讯机构:[2]Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[3]Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China[*1]Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, 52 E. Meihua Road, Zhuhai 519000, China
推荐引用方式(GB/T 7714):
Jiebing Gao,Xinglin Li,Dan Li,et al.Quantitative immunohistochemistry (IHC) analysis of biomarker combinations for human esophageal squamous cell carcinoma.[J].Annals of translational medicine.2021,9(13):1086.doi:10.21037/atm-21-2950.
APA:
Jiebing Gao,Xinglin Li,Dan Li,Ye Liu,Wanwei Cao...&Hong Shan.(2021).Quantitative immunohistochemistry (IHC) analysis of biomarker combinations for human esophageal squamous cell carcinoma..Annals of translational medicine,9,(13)
MLA:
Jiebing Gao,et al."Quantitative immunohistochemistry (IHC) analysis of biomarker combinations for human esophageal squamous cell carcinoma.".Annals of translational medicine 9..13(2021):1086