Diagnostic application of serum proteomic patterns in gastric cancer patients by ProteinChip surface-enhanced laser desorption/ionization time-of-flight mass spectrometry

2007 ◽  
Vol 22 (4) ◽  
pp. 281-286 ◽  
Author(s):  
J.Y. Lim ◽  
J.Y. Cho ◽  
Y.H. Paik ◽  
Y.S. Chang ◽  
H.G. Kim
Keyword(s):  
Mass Spectrometry ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Laser Desorption ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Surface Enhanced ◽  
Gastric Cancer Patients

Discovery of a tumor-specific biomarker for gastric cancer using proteomic analysis in tissue and serum

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e15582-e15582
Author(s):  
T. Mohri ◽  
Y. Mohri ◽  
D. G. Ward ◽  
W. Wei ◽  
Y. Qi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gastric Cancer ◽  
Time Of Flight ◽  
Laser Desorption ◽  
Cancer Tissue ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Surface Enhanced

e15582 Background: Gastric cancer is curable at an early stage. However, most cases are diagnosed at an advanced stage because of the lack of screening programs. Therefore, for early detection, there is a need for serum biomarkers to be identified. Methods: We explored surface-enhanced laser desorption/ionization time-of-flight mass spectrometry to elucidate potential protein biomarkers of gastric cancer. Twenty-one resected gastric cancer samples were compared with matched adjacent normal mucosa samples. Serum from patients with gastric cancer (n=51) was compared with patients with benign gastric diseases (n=29). Samples were analyzed on Cu2+-loaded IMAC protein chips via surface-enhanced laser desorption /ionization time-of-flight mass spectrometry. Results: Comparisons of surface-enhanced laser desorption /ionization time-of-flight mass spectrometry spectra of 21 gastric cancer tissue extracts with paired adjacent normal mucosa showed a total of 56 differentially expressed protein peaks (p<0.05; Wilcoxon test). Twenty-two were up-regulated in gastric cancer tissue, whereas 34 were down-regulated. The surface- enhanced laser desorption /ionization time-of-flight mass spectrometry spectra of serum contained 130 peaks, of which 67 were significantly associated with gastric cancer (p<0.05; Wilcoxon test). We found five proteomic features (mass charge values of 2273, 3143, 3372, 3444, 3485) that were significantly up-regulated in both gastric cancer tissue and serum from gastric cancer patients. The peak intensities of tumor-specific proteomic features were used to develop a linear regression model for calculating a diagnostic index. The area under the receiver operating characteristic curve of the corresponding diagnostic index was 0.87. Conclusions: Serum biomarker panels associated with tumor tissue are capable of distinguishing gastric cancer patients from non-cancer ones. No significant financial relationships to disclose.

Diagnostic Application of Serum Proteomic Patterns in Gastric Cancer Patients by ProteinChip Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

2007 ◽  
Vol 22 (4) ◽  
pp. 281-286 ◽  
Author(s):  
J.Y. Lim ◽  
J.Y. Cho ◽  
Y.H. Paik ◽  
Y.S. Chang ◽  
H.G. Kim
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Laser Desorption ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Flight Mass Spectrometry ◽  
Biomarker Pattern ◽  
Surface Enhanced ◽  
Gastric Cancer Patients ◽  
Tof Ms

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is one of the currently used techniques to identify biomarkers for cancers. This study was planned to establish a system to accurately distinguish gastric cancer patients by using SELDI-TOF-MS. A total of 100 serum samples obtained from 60 individuals with gastric cancer and 40 healthy individuals were screened. Protein expression profiles were expressed on CM10 ProteinChip arrays and analyzed. Peak intensities were analyzed with the Biomarker Wizard software to identify peaks showing significantly different intensities between normal and cancer groups. Classification analysis and construction of decision trees were done with the Biomarker Pattern software 5.0. Seventeen protein peaks showed significant differences between the two groups. The decision tree which gave the highest discrimination included four peaks at mass 5,919, 8,583, 10,286, and 13,758 as splitters. The sensitivity and specificity for classification of the decision tree were 96.7% (58/60) and 97.5% (39/40), respectively. When the protein biomarker pattern was tested on a blinded test set, it yielded a sensitivity of 93.3% (28/30) and a specificity of 90% (18/20). These results suggest that serum protein profiling by the SELDI system may distinguish gastric cancer patients from healthy controls with relatively high sensitivity and specificity.

Investigation of Tissue Inhibitor of Metalloproteinases 1 in Plasma from Colorectal Cancer Patients and Blood Donors by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

2007 ◽  
Vol 22 (2) ◽  
pp. 89-94 ◽  
Author(s):  
M.B. Caspersen ◽  
N.M. Sørensen ◽  
A.S. Schrohl ◽  
P. Iversen ◽  
H.J. Nielsen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Mass Spectrometry ◽  
Laser Desorption ◽  
Tissue Inhibitor Of Metalloproteinases ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Surface Enhanced ◽  
Tof Ms

Early detection of colorectal cancer (CRC) improves patient survival. Plasma tissue inhibitor of metalloproteinases 1 (TIMP-1) measurements by enzyme-linked immunosorbent assay (ELISA) have been suggested as a new method for the early detection of CRC. To further investigate the nature of TIMP-1 in plasma, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI TOF MS) was used. TIMP-1 measurements of plasma from 16 healthy donors and 14 CRC patients were performed using TIMP-1 monoclonal antibody in SELDI TOF MS and ELISA. SELDI TOF MS applying an antibody to TIMP-1 revealed that human plasma TIMP-1 has a mass of 25.1 kDa and exhibits several isoforms. Both methods showed increased plasma TIMP-1 values for cancer patients as compared to healthy individuals. The p values for the separation of the groups were 0.0019 for ELISA and <0.0001 for SELDI TOF MS. CRC did not fundamentally affect the appearance of TIMP-1 as evaluated by SELDI TOF MS.

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