Home CONTACT Neoplasma 2013 Neoplasma Vol.60, No.1, p.11-18, 2013

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Founded: 1954
ISSN 0028-2685
ISSN 1338-4317 (online)

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Neoplasma Vol.60, No.1, p.11-18, 2013

Title: Serum biomarkers analyzed by LC-MS/MS as predictors for short outcome of non-small cell lung cancer patients treated with chemoradiotherapy
Author: W. HUANG, X. DING, B. LI, M. FAN, T. ZHOU, H. SUN, Y. YI, J. ZHANG


Purpose: To find potential serum biomakers that can predict clinical outcome upon treatment in non-small cell lung cancer (NSCLC) by analyzing differential proteins in serum with different sensitivity of chemoradiotherapy (CRT).
Materials and Methods: Sera were collected from 37 NSCLC patients before they were treated with concurrent cisplatin-based CRT. According to the outcome of CRT, the patients were divided into sensitive group and resistant one. The proteins in sera were separated by two-dimensional gel electrophoresis after the high abundance proteins were removed from sera. The significantly differentially expressed proteins between two groups were analyzed by liquid chromatography and tendem mass spectrometry (LC-MS/MS). Then, an additional 50 serum samples were used for ELISA analysis to validate the identified proteins that we got in the experiment.
Results: Proteins in sera of each group were successfully separated on 2D gels. There were significant discrepancies in serum protein expression between NSCLC patients with different CRT sensitivity. Among eight differently expressed proteins, six proteins were successfully identified with five of which higher expressed and one lower expressed in resistant group.

The increased Alpha-1-antitrypsin (α1-AT) level in resistant group comparing to sensitive one were validated by ELISA analysis (p<0.05).

Conclusions: Proteomic approach may serve as a useful method in detecting the potential biomarkers for predicting the outcome of treatment in NSCLC patients. NSCLC patients with high α1-AT level in serum before CRT may have a worse treatment outcome.

Keywords: chemoradiotherapy, non-small cell lung cancer, biomarkers, proteomics
Year: 2013, Volume: 60, Issue: 1 Page From: 11, Page To: 18

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