Convergence of the proteomic pattern in cancer

MOTIVATION On the histological level the differentiation of normal epithelial tissues is well known. The phenomenon of dedifferentiation, which occurs as cells develop towards malignancy is also well described. To identify an epithelial tumor-specific proteomic profile as well as to measure the proximities between we used data from tumor tissue and adjacent normal tissue microdissected from head and neck and colon cancer samples which were analyzed using ProteinChip technology and performed a bioinformatic meta-analysis on the resulting four complex datasets. RESULTS All four groups could be identified based on their proteomic signatures and the tumor tissues were found to be more similar to one another than to the normal epithelial tissue from which they progressed. This study shows at the proteomic level that changes in the histological features of tumors as compared to the tissues from which they arise are reflected in the convergence of proteomic pattern during the development to cancer.

[1]  D. Morton,et al.  Detection of Differentially Expressed Proteins in Early‐Stage Melanoma Patients Using SELDI‐TOF Mass Spectrometry , 2004, Annals of the New York Academy of Sciences.

[2]  Uwe Claussen,et al.  Mass spectrometry meets chip technology: A new proteomic tool in cancer research? , 2001, Electrophoresis.

[3]  K. Lillemoe,et al.  Identification of hepatocarcinoma-intestine-pancreas/pancreatitis-associated protein I as a biomarker for pancreatic ductal adenocarcinoma by protein biochip technology. , 2002, Cancer research.

[4]  Günther Ernst,et al.  A Technical Triade for Proteomic Identification and Characterization of Cancer Biomarkers , 2004, Cancer Research.

[5]  T. Yip,et al.  New desorption strategies for the mass spectrometric analysis of macromolecules , 1993 .

[6]  L. Liotta,et al.  Proteomic Patterns of Nipple Aspirate Fluids Obtained by SELDI-TOF: Potential for New Biomarkers to Aid in the Diagnosis of Breast Cancer , 2002, Disease markers.

[7]  R. Bast,et al.  Three Biomarkers Identified from Serum Proteomic Analysis for the Detection of Early Stage Ovarian Cancer , 2004, Cancer Research.

[8]  G. Wright,et al.  Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine. , 2001, The American journal of pathology.

[9]  F. von Eggeling,et al.  Biomarker Discovery and Identification in Laser Microdissected Head and Neck Squamous Cell Carcinoma with ProteinChip® Technology, Two-dimensional Gel Electrophoresis, Tandem Mass Spectrometry, and Immunohistochemistry* , 2003, Molecular & Cellular Proteomics.

[10]  Günther Ernst,et al.  Proteohistography–Direct Analysis of Tissue with High Sensitivity and High Spatial Resolution Using ProteinChip Technology , 2006, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[11]  H. Davies,et al.  Tissue-specific microdissection coupled with ProteinChip array technologies: applications in cancer research. , 2000, BioTechniques.

[12]  D. Driesch,et al.  Proteomic profiling in microdissected hepatocellular carcinoma tissue using ProteinChip technology. , 2004, International journal of oncology.

[13]  U. Settmacher,et al.  Discovery and identification of alpha-defensins as low abundant, tumor-derived serum markers in colorectal cancer. , 2005, Gastroenterology.

[14]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .