Proteomic analysis enables distinction of early- versus advanced-stage lung adenocarcinomas

Clinical and Translational Medicine
Olga KelemenGyorgy Marko-Varga

Abstract

A gel-free proteomic approach was utilized to perform in-depth tissue protein profiling of lung adenocarcinoma (ADC) and normal lung tissues from early and advanced stages of the disease. The long-term goal of this study is to generate a large-scale, label-free proteomics dataset from histologically well-classified lung ADC that can be used to increase further our understanding of disease progression and aid in identifying novel biomarkers. Cases of early-stage (I-II) and advanced-stage (III-IV) lung ADCs were selected and paired with normal lung tissues from 22 patients. The histologically and clinically stratified human primary lung ADCs were analyzed by liquid chromatography-tandem mass spectrometry. From the analysis of ADC and normal specimens, 4863 protein groups were identified. To examine the protein expression profile of ADC, a peak area-based quantitation method was used. In early- and advanced-stage ADC, 365 and 366 proteins were differentially expressed, respectively, between normal and tumor tissues (adjusted P-value < .01, fold change ≥ 4). A total of 155 proteins were dysregulated between early- and advanced-stage ADCs and 18 were suggested as early-specific stage ADC. In silico functional analysis of the upregul...Continue Reading

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Methods Mentioned

BETA
surgical resection
protein assay
GTPases
acetylation
GTPase
xenografts
antisense oligonucleotide

Clinical Trials Mentioned

NCT01234038

Software Mentioned

GO
SEQUEST
OpenMS
Slim
TOPP
Perseus
Proteome Discoverer
PANTHER

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