Characterization of pepsinogen C as a potential biomarker for gastric cancer using a histo-proteomic approach.
We analyzed 74 cryostat sections of central gastric tumor, tumor margin, and normal gastric epithelium using ProteinChip Arrays and SELDI-TOF MS. One peak was significantly down-regulated in tumor tissue (P = 1.43 x 10(-6)) and identified as pepsinogen C using MS/MS analysis and immunodepletion. This signal was further characterized by immunohistochemistry. This work demonstrates that differentially expressed signals can be identified and assessed using a proteomic approach comprising tissue-microdissection, protein profiling, and immunohistochemistry.
Melle
Christian
C
Core Unit Chip Application (CUCA), Institute of Human Genetics and Anthropology, Friedrich Schiller University, 07740 Jena, Germany.
Ernst
Günther
G
Schimmel
Bettina
B
Bleul
Annett
A
Kaufmann
Roland
R
Hommann
Merten
M
Richter
Konrad K
KK
Daffner
Wolfgang
W
Settmacher
Utz
U
Claussen
Uwe
U
von Eggeling
Ferdinand
F
D015415:Biomarkers / Q000737:chemistry*; D014408:Biomarkers, Tumor; D045744:Cell Line, Tumor; D015180:Electrophoresis, Gel, Two-Dimensional; D004848:Epithelium / Q000378:metabolism; D005753:Gastric Mucosa / Q000378:metabolism; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D007150:Immunohistochemistry; D007834:Lasers; D013058:Mass Spectrometry; D020115:Pepsinogen C / Q000737:chemistry*; D010449:Peptide Mapping; D040081:Protein Array Analysis; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013274:Stomach Neoplasms / Q000378:metabolism*
D015415:Biomarkers; D014408:Biomarkers, Tumor; D020543:Proteome; D020115:Pepsinogen C