4.7 Article

Gastric Cancer-Specific Protein Profile Identified Using Endoscopic Biopsy Samples via MALDI Mass Spectrometry

Journal

JOURNAL OF PROTEOME RESEARCH
Volume 9, Issue 8, Pages 4123-4130

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/pr100302b

Keywords

direct tissue MALDI; gastric cancer; diagnosis

Funding

  1. Center for Cancer Research, National Cancer Institute
  2. Korean Ministry of Education, Science, and Technology [0931480]
  3. Korean National Cancer Center [0910570]
  4. National Cancer Institute, National Institutes of Health [HHSN261200800001E]
  5. Korea Health Promotion Institute [0910570] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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To date, proteomic analyses on gastrointestinal cancer tissue samples have been performed using surgical specimens only, which are obtained after a diagnosis is made. To determine if a proteomic signature obtained from endoscopic biopsy samples could be found to assist with diagnosis, frozen endoscopic biopsy samples collected from 63 gastric cancer patients and 43 healthy volunteers were analyzed using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. A statistical classification model was developed to distinguish tumor from normal tissues using half the samples and validated with the other half. A protein profile was discovered consisting of 73 signals that could classify 32 cancer and 22 normal samples in the validation set with high predictive values (positive and negative predictive values for cancer, 96.8% and 91.3%; sensitivity, 93.8%; specificity, 95.5%). Signals overexpressed in tumors were identified as alpha-defensin-1, alpha-defensin-2, calgranulin A, and calgranulin B. A protein profile was also found to distinguish pathologic stage la (pT1N0M0) samples In = 10) from more advanced stage (Ib or higher) tumors (n = 48). Thus, protein profiles obtained from endoscopic biopsy samples may be useful in assisting with the diagnosis of gastric cancer and, possibly, in identifying early stage disease.

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