1. Evaluation of a 4-protein serum biomarker panel-biglycan, annexin-A6, myeloperoxidase, and protein S100-A9 (B-AMP)-for the detection of esophageal adenocarcinoma
- Author
-
Blair A. Jobe, Jon M. Davison, Brian L. Hood, Shyam Visweswaran, Jacques J. Bergman, Jeya Balaji Balasubramanian, Ali H. Zaidi, Xuemei Zeng, Thomas P. Conrads, Usha Malhotra, Mai Sun, Vanathi Gopalakrishnan, Melanie S. Flint, Pashtoon Murtaza Kasi, and William L. Bigbee
- Subjects
Cancer Research ,Pathology ,medicine.medical_specialty ,business.industry ,Cancer ,medicine.disease ,Proteomics ,Oncology ,Tumor progression ,Dysplasia ,medicine ,Adenocarcinoma ,Biomarker (medicine) ,Cancer biomarkers ,Biomarker discovery ,business - Abstract
BACKGROUND Esophageal adenocarcinoma (EAC) is associated with a dismal prognosis. The identification of cancer biomarkers can advance the possibility for early detection and better monitoring of tumor progression and/or response to therapy. The authors present results from the development of a serum-based, 4-protein (biglycan, myeloperoxidase, annexin-A6, and protein S100-A9) biomarker panel for EAC. METHODS A vertically integrated, proteomics-based biomarker discovery approach was used to identify candidate serum biomarkers for the detection of EAC. Liquid chromatography-tandem mass spectrometry analysis was performed on formalin-fixed, paraffin-embedded tissue samples that were collected from across the Barrett esophagus (BE)-EAC disease spectrum. The mass spectrometry-based spectral count data were used to guide the selection of candidate serum biomarkers. Then, the serum enzyme-linked immunosorbent assay data were validated in an independent cohort and were used to develop a multiparametric risk-assessment model to predict the presence of disease. RESULTS With a minimum threshold of 10 spectral counts, 351 proteins were identified as differentially abundant along the spectrum of Barrett esophagus, high-grade dysplasia, and EAC (P
- Published
- 2014