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Quantitative tissue proteomics of esophageal squamous cell carcinoma for novel biomarker discovery

Authors :
Bipin G. Nair
Rekha V. Kumar
Nandini A. Sahasrabuddhe
Santosh Renuse
Sudha Rajagopalan
Manoj Kumar Kashyap
M. Vijayakumar
Jagadeesha Maharudraiah
Kumaran Kandasamy
Praveen Kumar
H. C. Harsha
Jyoti Sharma
Chennagiri Shrinivasamurthy Premalatha
Kariyanakatte Veeraiah Veerendra Kumar
T. Prasad
Raghothama Chaerkady
Akhilesh Pandey
Harsh Pawar
Arivusudar Marimuthu
Publication Year :
2011
Publisher :
Landes Bioscience, 2011.

Abstract

Esophageal squamous cell carcinoma (ESCC) is among the top ten most frequent malignancies worldwide. In this study, our objective was to identify potential biomarkers for ESCC through a quantitative proteomic approach using the isobaric tags for relative and absolute quantitation (iTRAQ) approach. We compared the protein expression profiles of ESCC tumor tissues with the corresponding adjacent normal tissue from ten patients. LC-MS/MS analysis of strong cation exchange chromatography fractions was carried out on an Accurate Mass QTOF mass spectrometer, which led to the identification of 687 proteins. In all, 257 proteins were identified as differentially expressed in ESCC as compared to normal. We found several previously known protein biomarkers to be upregulated in ESCC including thrombospondin 1 (THBS1), periostin 1 (POSTN) and heat shock 70 kDa protein 9 (HSPA9) confirming the validity of our approach. In addition, several novel proteins that had not been reported previously were identified in our screen. These novel biomarker candidates included prosaposin (PSAP), plectin 1 (PLEC1) and protein disulfide isomerase A 4 (PDIA4) that were further validated to be overexpressed by immunohistochemical labeling using tissue microarrays. The success of our study shows that this mass spectrometric strategy can be applied to cancers in general to develop a panel of candidate biomarkers, which can then be validated by other techniques.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ca2d72f5c0cbce2d709c165db40f9799