Diagnosis of Esophageal Adenocarcinoma by Serum Proteomic Pattern

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Presentation transcript:

Diagnosis of Esophageal Adenocarcinoma by Serum Proteomic Pattern Zane T. Hammoud, MD, Lacey Dobrolecki, BS, Kenneth A. Kesler, MD, Emad Rahmani, MD, Karen Rieger, MD, Linda H. Malkas, PhD, Robert J. Hickey, PhD The Annals of Thoracic Surgery Volume 84, Issue 2, Pages 384-392 (August 2007) DOI: 10.1016/j.athoracsur.2007.03.088 Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 1 Raw spectral data identifies 3 peaks using the H50 ProteinChip (Bio-Rad Laboratories, Hercules, CA). The top 2 specimens in each row are cancer, and the bottom 2 are normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 2 Cluster plots generated using H50 ProteinChip (Bio-Rad Laboratories, Hercules, CA) for the 3 peaks of interest. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 3 Decision tree analysis for H50 Protein Chip (Bio-Rad Laboratories, Hercules, CA) using the 3317, 4393, and 8632 peaks to identify cancer and normal specimens. The analysis correctly identified 42 of 43 cancers and 10 of 11 normals. The number after the peaks (eg, 2.827 for 8632) represents the intensity of the peak. Class 0 = cancer; Class 1 = normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 4 Raw spectral data generated with IMAC30 ProteinChip (Bio-Rad Laboratories, Hercules, CA), showing 4 peaks (2743, 2861, 3217, 3421) that distinguish cancer from normal. The top 2 spectra in each graph are cancer, and the bottom 2 are normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 5 Cluster plots of the IMAC30 ProteinChip (Bio-Rad Laboratories, Hercules, CA) at the 4 peaks identified. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 6 Decision tree analysis for IMAC 30 Protein Chip (Bio-Rad Laboratories, Hercules, CA) at peaks 3217 and 3421. The analysis correctly identified 50 of 50 cancers and 10 of 10 normals. Class 0 = cancer; Class 1 = normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 7 Decision tree analysis using the IMAC30 ProteinChip (Bio-Rad Laboratories, Hercules, CA) and the peaks at 3217 and 2743. This analysis correctly identified 50 of 50 cancers and 9 of 10 normals. Class 0 = cancer; Class 1 = normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 8 Decision tree analysis using the IMAC30 ProteinChip (Bio-Rad Laboratories, Hercules, CA) and the peak at 2861. This analysis correctly identified 47 of 50 cancers and 9 of 10 normals. Class 0 = cancer; Class 1 = normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions

Fig 9 Decision tree analysis using IMAC 30 Protein Chip (Bio-Rad Laboratories, Hercules, CA) for 12 early stage tumors (T1 N0 and T2 N0) at peaks 2861 and 6434. This analysis correctly identified 11 of 12 cancers and 10 of 10 normals. Class 0 = cancer; Class 1 = normal. The Annals of Thoracic Surgery 2007 84, 384-392DOI: (10.1016/j.athoracsur.2007.03.088) Copyright © 2007 The Society of Thoracic Surgeons Terms and Conditions