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Serum autoantibodies in the early detection of esophageal cancer: a systematic review

Overview of attention for article published in Tumor Biology, November 2014
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Title
Serum autoantibodies in the early detection of esophageal cancer: a systematic review
Published in
Tumor Biology, November 2014
DOI 10.1007/s13277-014-2878-9
Pubmed ID
Authors

Hongfei Zhang, Junfen Xia, Kaijuan Wang, Jianying Zhang

Abstract

Antibodies against tumor-associated antigens (TAAs) have been found in serum of patients with various types of cancers and may serve as biomarkers for early detection of esophageal cancer as well. This systematic review aims to give an overview about known autoantibodies and their diagnostic value in esophageal cancer. We conducted a systematic literature search in two databases to identify studies which performed serological testing for autoantibodies in esophageal cancer patients and controls. Data on study characteristics and results were extracted independently by two reviewers. Overall, 45 articles reporting the detection of 35 different autoantibodies met the inclusion criteria of this review. The most common antibody detection method was enzyme-linked immunosorbent assay (ELISA), and the most frequently assessed autoantibody was anti-p53, which was tested in 17 studies and for 15 studies of which a meta-analysis was conducted to comprehensively evaluate the diagnostic value. Most antibodies were assessed in only one study, and only few authors have evaluated the diagnostic value of combinations of multiple autoantibodies. For single autoantibodies, specificity was generally very high (median 98.3 %), but sensitivity was mostly rather low (median 26.7 %). For some autoantibody combinations, substantially higher sensitivity at reasonably high levels of specificity could be achieved. Development of extended and optimized multimarker panels of autoantibodies might be a promising approach for esophageal cancer early detection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 4 19%
Other 3 14%
Lecturer 2 10%
Professor 1 5%
Other 3 14%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 8 38%
Agricultural and Biological Sciences 4 19%
Biochemistry, Genetics and Molecular Biology 2 10%
Immunology and Microbiology 1 5%
Arts and Humanities 1 5%
Other 2 10%
Unknown 3 14%