A panel of autoantibodies against multiple tumor-associated antigens in the immunodiagnosis of esophageal squamous cell cancer

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作者
Hong-Fei Zhang
Jie-Jie Qin
Peng-Fei Ren
Jian-Xiang Shi
Jun-Fen Xia
Hua Ye
Peng Wang
Chun-Hua Song
Kai-Juan Wang
Jian-Ying Zhang
机构
[1] Zhengzhou University,Department of Epidemiology and Health Statistics, College of Public Health
[2] Zhengzhou University,Henan Key Laboratory of Tumor Epidemiology, College of Public Health
[3] Zhengzhou University,Henan Academy of Medical and Pharmaceutical Sciences
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关键词
Esophageal squamous cell carcinoma; Autoantibody; Tumor-associated antigen; Early diagnosis; Logistic regression model;
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摘要
Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers in China with very low 5-year survival rate mostly due to the paucity of effective early diagnostic methods. Serum autoantibodies against 9 tumor-associated antigens (TAAs) from ESCC patients and healthy controls were detected by enzyme-linked immunosorbent assay to evaluate their performances in the immunodiagnosis of ESCC. Logistic regression models were generated to predict the probability of individuals being diagnosed with ESCC in training cohort (648 participants) and further validated in another independent cohort (372 participants). Finally, a panel of four TAAs showed high diagnostic accuracy with areas under the receiver operating characteristic curve of 0.838 in training cohort and 0.872 in validation cohort, respectively. The percentages of individuals correctly classified were 77.01 % in training cohort and 78.49 % in validation cohort, respectively. This model could discriminate early-stage (AJCC stage 0, I and II) ESCC patients from normal controls, with true-positive rate (TPR) of 67.57 % in training cohort and TPR of 63.33 % in validation cohort, and the overall TPR for early-stage ESCC was 66.85 % when the two cohorts were combined. The diagnostic performance of this model showed no significant difference between early-stage and late-stage (AJCC stage III and IV) ESCC patients. In summary, the optimized model with 4 TAAs has a high diagnostic performance for ESCC detection, especially for early-stage ESCC.
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页码:1233 / 1242
页数:9
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