Diagnostic performance of anti-MAGEA family protein autoantibodies in esophageal squamous cell carcinoma.

Int Immunopharmacol

Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou 450052, Henan Province, China. Electronic address:

Published: December 2023

AI Article Synopsis

  • * The study utilized protein chips and enzyme-linked immunosorbent assays (ELISA) to analyze anti-MAGEA autoantibody levels in serum samples from ESCC patients and control groups, identifying eight specific autoantibodies associated with higher levels in ESCC.
  • * A logistic regression model demonstrated moderate effectiveness in distinguishing ESCC from healthy controls and benign esophageal diseases, with additional diagnostic accuracy when combined with a cytokeratin fragment, highlighting the potential of anti-MAGEA autoantibodies for ESCC detection.

Article Abstract

MAGEA family proteins are immunogenic and can produce corresponding autoantibodies, and we aim to evaluate the diagnostic value of anti-MAGEA family protein autoantibodies in esophageal squamous cell carcinoma (ESCC). Protein chip was used to detect the expression level of anti-MAGEA autoantibodies (IgG and IgM) in 20 mixed serum samples. Enzyme linked immunosorbent assay was adopted to determine the expression level of autoantibodies in 1019 serum samples (423 ESCC, 423 healthy control (HC), 173 benign esophageal disease (BED)), and stepwise logistic regression analysis was used for developing a diagnostic model. Eight anti-MAGEA autoantibodies were screened out based on the protein chip. The levels of 7 autoantibodies (MAGEA1-IgG, MAGEA3-IgG, MAGEA3-IgM, MAGEA4-IgG, MAGEA6-IgG, MAGEA10-IgG, MAGEA12-IgG) in ESCC were significantly higher than that in HC, and the levels of anti-MAGEA1 IgG, anti-MAGEA3-IgG, anti-MAGEA4-IgG, anti-MAGEA10-IgG and anti-MAGEA12-IgG autoantibodies in ESCC group were significantly higher than those in BED group. The area under curve (AUC), sensitivity and specificity of the logistic regression model (MAGEA1-IgG, MAGEA4-IgG, MAGEA6-IgG, MAGEA12-IgG) in the training set and the validation set were 0.725 and 0.698, 55.2% and 51.8%, 80.4% and 84.5%, respectively, in distinguishing ESCC and HC. The model also could distinguish between ESCC and BED, with the AUC of 0.743, sensitivity of 55.4% and specificity of 89.0%. The positive rate of the model combined with cytokeratin 19 fragment to diagnose ESCC reached 78.0%. The study identified anti-MAGEA autoantibodies with potential diagnostic value for ESCC, which may provide new promising for the detection of the disease.

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http://dx.doi.org/10.1016/j.intimp.2023.111041DOI Listing

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Diagnostic performance of anti-MAGEA family protein autoantibodies in esophageal squamous cell carcinoma.

Int Immunopharmacol

December 2023

Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou 450052, Henan Province, China. Electronic address:

Article Synopsis
  • * The study utilized protein chips and enzyme-linked immunosorbent assays (ELISA) to analyze anti-MAGEA autoantibody levels in serum samples from ESCC patients and control groups, identifying eight specific autoantibodies associated with higher levels in ESCC.
  • * A logistic regression model demonstrated moderate effectiveness in distinguishing ESCC from healthy controls and benign esophageal diseases, with additional diagnostic accuracy when combined with a cytokeratin fragment, highlighting the potential of anti-MAGEA autoantibodies for ESCC detection.
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