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Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma

OBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted...

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Autores principales: Yang, Juan, Yang, Jin, Gao, Yan, Zhao, Lingyu, Liu, Liying, Qin, Yannan, Wang, Xiaofei, Song, Tusheng, Huang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219714/
https://www.ncbi.nlm.nih.gov/pubmed/25368985
http://dx.doi.org/10.1371/journal.pone.0111364
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author Yang, Juan
Yang, Jin
Gao, Yan
Zhao, Lingyu
Liu, Liying
Qin, Yannan
Wang, Xiaofei
Song, Tusheng
Huang, Chen
author_facet Yang, Juan
Yang, Jin
Gao, Yan
Zhao, Lingyu
Liu, Liying
Qin, Yannan
Wang, Xiaofei
Song, Tusheng
Huang, Chen
author_sort Yang, Juan
collection PubMed
description OBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) to identify patients with ccRCC. A total of 162 serum samples were analyzed in this study, among which there were 58 serum samples from ccRCC patients, 40 from additional paired pre- and post-operative ccRCC patients (n = 20), and 64 from healthy volunteers as healthy controls. ClinProTools software identified several distinct markers between ccRCC patients and healthy controls, as well as between pre- and post-operative patients. RESULTS: Patients with ccRCC could be identified with a mean sensitivity of 88.38% and a mean specificity of 91.67%. Of 67 m/z peaks that differed among the ccRCC, healthy controls, pre- and post-operative ccRCC patients, 24 were significantly different (P<0.05). Three candidate peaks, which were upregulated in ccRCC group and showed a tendency to return to healthy control values after surgery, were identified as peptide regions of RNA-binding protein 6 (RBP6), tubulin beta chain (TUBB), and zinc finger protein 3 (ZFP3) with the m/z values of 1466.98, 1618.22, and 5905.23, respectively. CONCLUSION: MB-MALDI-TOF-MS method could generate serum peptidome profiles of ccRCC, and provide a new approach to identify potential biomarkers for diagnosis as well as prognosis of this malignancy.
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spelling pubmed-42197142014-11-12 Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma Yang, Juan Yang, Jin Gao, Yan Zhao, Lingyu Liu, Liying Qin, Yannan Wang, Xiaofei Song, Tusheng Huang, Chen PLoS One Research Article OBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) to identify patients with ccRCC. A total of 162 serum samples were analyzed in this study, among which there were 58 serum samples from ccRCC patients, 40 from additional paired pre- and post-operative ccRCC patients (n = 20), and 64 from healthy volunteers as healthy controls. ClinProTools software identified several distinct markers between ccRCC patients and healthy controls, as well as between pre- and post-operative patients. RESULTS: Patients with ccRCC could be identified with a mean sensitivity of 88.38% and a mean specificity of 91.67%. Of 67 m/z peaks that differed among the ccRCC, healthy controls, pre- and post-operative ccRCC patients, 24 were significantly different (P<0.05). Three candidate peaks, which were upregulated in ccRCC group and showed a tendency to return to healthy control values after surgery, were identified as peptide regions of RNA-binding protein 6 (RBP6), tubulin beta chain (TUBB), and zinc finger protein 3 (ZFP3) with the m/z values of 1466.98, 1618.22, and 5905.23, respectively. CONCLUSION: MB-MALDI-TOF-MS method could generate serum peptidome profiles of ccRCC, and provide a new approach to identify potential biomarkers for diagnosis as well as prognosis of this malignancy. Public Library of Science 2014-11-04 /pmc/articles/PMC4219714/ /pubmed/25368985 http://dx.doi.org/10.1371/journal.pone.0111364 Text en © 2014 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yang, Juan
Yang, Jin
Gao, Yan
Zhao, Lingyu
Liu, Liying
Qin, Yannan
Wang, Xiaofei
Song, Tusheng
Huang, Chen
Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title_full Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title_fullStr Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title_full_unstemmed Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title_short Identification of Potential Serum Proteomic Biomarkers for Clear Cell Renal Cell Carcinoma
title_sort identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219714/
https://www.ncbi.nlm.nih.gov/pubmed/25368985
http://dx.doi.org/10.1371/journal.pone.0111364
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