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Right arrow Esophagus - cancer

Ann Thorac Surg 2007;84:384-392
© 2007 The Society of Thoracic Surgeons

Original Articles: General Thoracic

Diagnosis of Esophageal Adenocarcinoma by Serum Proteomic Pattern

Zane T. Hammoud, MDa,*, Lacey Dobrolecki, BSb, Kenneth A. Kesler, MDa, Emad Rahmani, MDb, Karen Rieger, MDa, Linda H. Malkas, PhDb, Robert J. Hickey, PhDb

a Department of Surgery, Cardiothoracic Surgery Division, Indiana University School of Medicine, Indianapolis, Indiana
b Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana

Accepted for publication March 26, 2007.

* Address correspondence to Dr Hammoud, Cardiothoracic Surgery, Indiana University School of Medicine, 545 Barnhill Dr, EH 215, Indianapolis, IN 46202 (Email: zhammoud{at}iupui.edu).

Presented at the Forty-third Annual Meeting of The Society of Thoracic Surgeon, San Diego, CA, Jan 29–31, 2007.

Background: Currently, endoscopic biopsy is the only method used to diagnose esophageal adenocarcinoma. Using surface-enhanced laser desorption/ionization (SELDI) ProteinChip technology, we sought to identify a potentially diagnostic serum protein pattern that can serve as a reliable blood test for the diagnosis of esophageal adenocarcinoma. In addition, we sought to identify potential biomarkers for esophageal adenocarcinoma.

Methods: Whole serum was collected using standard techniques from subjects with a known diagnosis of esophageal adenocarcinoma as well as from subjects without any known esophageal disease. The samples were spotted onto a hydrophobic (H50) and immobilized metal affinity (IMAC30) chip surface and allowed to incubate. All samples were run in duplicate. After several washes, matrix was added and a mass range of 1500 to 30000 daltons was analyzed by SELDI–Time-of-Flight mass spectroscopy. Statistical analysis was performed using Biomarker Pattern Software (Bio-Rad Laboratories, Hercules, CA).

Results: For the H50 analysis, 3 peaks were identified that correctly diagnosed 42 of 43 cancers and 10 of 11 normals. For the IMAC30, 4 peaks were identified that correctly diagnosed 50 of 50 cancers and 10 of 10 normals.

Conclusions: Serum proteomic pattern shows great promise in the diagnosis of esophageal adenocarcinoma. This technology may lead to the development of a noninvasive screening test as well as to the identification of potential novel biomarkers for esophageal adenocarcinoma.






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