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Identification of proteomic signatures associated with lung cancer and COPD

Pastor, M.D. ; Nogal, A. ; Molina-Pinelo, S. ; Meléndez, R. ; Salinas, A. ; González De la Peña, M. ; Martín-Juan, J. ; Corral, J. ; García-Carbonero, R. ; Carnero, A. ; Paz-Ares, L.

Journal of proteomics, 2013-08, Vol.89, p.227-237 [Periódico revisado por pares]

Elsevier B.V

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Título:
Identification of proteomic signatures associated with lung cancer and COPD
Autor: Pastor, M.D. ; Nogal, A. ; Molina-Pinelo, S. ; Meléndez, R. ; Salinas, A. ; González De la Peña, M. ; Martín-Juan, J. ; Corral, J. ; García-Carbonero, R. ; Carnero, A. ; Paz-Ares, L.
Assuntos: amino acid sequences ; amino acids ; Biomarker ; biomarkers ; Bronchoalveolar lavage ; COPD ; desorption ; early diagnosis ; free radical scavengers ; gene expression regulation ; gluconeogenesis ; glycolysis ; Inflammation ; ionization ; Lung cancer ; lung neoplasms ; mass spectrometry ; oxidative stress ; patients ; peptides ; polyacrylamide gel electrophoresis ; protein content ; proteins ; Proteomic ; proteomics ; risk ; stress response ; transcription factor NF-kappa B ; two-dimensional gel electrophoresis
É parte de: Journal of proteomics, 2013-08, Vol.89, p.227-237
Notas: http://dx.doi.org/10.1016/j.jprot.2013.04.037
Descrição: Lung cancer (LC) and chronic obstructive pulmonary disease (COPD) commonly coexist in smokers, and the presence of COPD increases the risk of developing LC. The aim of this study was to identify distinct proteomic profiles able to discriminate these two pathological entities. Protein content was assessed in the bronchoalveolar lavage (BAL) of 60 patients classified in four groups: COPD, COPD and LC, LC without COPD, and control with neither COPD nor LC. Proteins were separated into spots by bidimensional polyacrylamide gel electrophoresis (2D-PAGE) and examined by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF/TOF). A total of 40 proteins were differentially expressed in the LC and/or COPD groups as compared with the control group. Distinct protein profiles were identified and validated for each pathological entity (LC and COPD). The main networks involved were related to inflammatory signalling, free radical scavenging and oxidative stress response, and glycolysis and gluconeogenesis pathways. The most relevant signalling link between LC and COPD was through the NF-κB pathway. In conclusion, the protein profiles identified contribute to elucidate the underlying pathogenic pathways of both diseases, and provide new tools of potential use as biomarkers for the early diagnosis of LC. Sequence coverage. The protein sequence coverage (95%) was estimated for specific proteins by the percentage of matching amino acids from the identified peptides having confidence greater than or equal to 95% divided by the total number of amino acids in the sequence. Ingenuity Pathways Analysis. Mapping of our proteins onto biological pathways and disease networks demonstrated that 22 proteins were linked to inflammatory signalling (p-value: 1.35∗10−08–1.42∗10−02), 15 proteins were associated with free radical scavenging and oxidative stress response (p-value: 4.93∗10−11–1.27∗10−02), and 9 proteins were related with glycolysis and gluconeogenesis pathways (p-value: 7.39∗10−09–1.58∗10−02). [Display omitted]
Editor: Elsevier B.V
Idioma: Inglês

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Identification of proteomic signatures associated with lung cancer and COPD

Pastor, M.D. ; Nogal, A. ; Molina-Pinelo, S. ; Meléndez, R. ; Salinas, A. ; González De la Peña, M. ; Martín-Juan, J. ; Corral, J. ; García-Carbonero, R. ; Carnero, A. ; Paz-Ares, L.

Elsevier B.V

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