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Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics
Molecular biomarkers in blood are needed to aid the early diagnosis and clinical assessment of glioblastoma (GBM). Here, in order to identify biomarker candidates in plasma of GBM patients, we performed quantitative comparisons of the plasma proteomes of GBM patients (n = 14) and healthy controls (n...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841790/ https://www.ncbi.nlm.nih.gov/pubmed/29513714 http://dx.doi.org/10.1371/journal.pone.0193799 |
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author | Miyauchi, Eisuke Furuta, Takuya Ohtsuki, Sumio Tachikawa, Masanori Uchida, Yasuo Sabit, Hemragul Obuchi, Wataru Baba, Tomoko Watanabe, Michitoshi Terasaki, Tetsuya Nakada, Mitsutoshi |
author_facet | Miyauchi, Eisuke Furuta, Takuya Ohtsuki, Sumio Tachikawa, Masanori Uchida, Yasuo Sabit, Hemragul Obuchi, Wataru Baba, Tomoko Watanabe, Michitoshi Terasaki, Tetsuya Nakada, Mitsutoshi |
author_sort | Miyauchi, Eisuke |
collection | PubMed |
description | Molecular biomarkers in blood are needed to aid the early diagnosis and clinical assessment of glioblastoma (GBM). Here, in order to identify biomarker candidates in plasma of GBM patients, we performed quantitative comparisons of the plasma proteomes of GBM patients (n = 14) and healthy controls (n = 15) using SWATH mass spectrometry analysis. The results were validated by means of quantitative targeted absolute proteomics analysis. As a result, we identified eight biomarker candidates for GBM (leucine-rich alpha-2-glycoprotein (LRG1), complement component C9 (C9), C-reactive protein (CRP), alpha-1-antichymotrypsin (SERPINA3), apolipoprotein B-100 (APOB), gelsolin (GSN), Ig alpha-1 chain C region (IGHA1), and apolipoprotein A-IV (APOA4)). Among them, LRG1, C9, CRP, GSN, IGHA1, and APOA4 gave values of the area under the receiver operating characteristics curve of greater than 0.80. To investigate the relationships between the biomarker candidates and GBM biology, we examined correlations between plasma concentrations of biomarker candidates and clinical presentation (tumor size, progression-free survival time, or overall survival time) in GBM patients. The plasma concentrations of LRG1, CRP, and C9 showed significant positive correlations with tumor size (R(2) = 0.534, 0.495, and 0.452, respectively). |
format | Online Article Text |
id | pubmed-5841790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58417902018-03-23 Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics Miyauchi, Eisuke Furuta, Takuya Ohtsuki, Sumio Tachikawa, Masanori Uchida, Yasuo Sabit, Hemragul Obuchi, Wataru Baba, Tomoko Watanabe, Michitoshi Terasaki, Tetsuya Nakada, Mitsutoshi PLoS One Research Article Molecular biomarkers in blood are needed to aid the early diagnosis and clinical assessment of glioblastoma (GBM). Here, in order to identify biomarker candidates in plasma of GBM patients, we performed quantitative comparisons of the plasma proteomes of GBM patients (n = 14) and healthy controls (n = 15) using SWATH mass spectrometry analysis. The results were validated by means of quantitative targeted absolute proteomics analysis. As a result, we identified eight biomarker candidates for GBM (leucine-rich alpha-2-glycoprotein (LRG1), complement component C9 (C9), C-reactive protein (CRP), alpha-1-antichymotrypsin (SERPINA3), apolipoprotein B-100 (APOB), gelsolin (GSN), Ig alpha-1 chain C region (IGHA1), and apolipoprotein A-IV (APOA4)). Among them, LRG1, C9, CRP, GSN, IGHA1, and APOA4 gave values of the area under the receiver operating characteristics curve of greater than 0.80. To investigate the relationships between the biomarker candidates and GBM biology, we examined correlations between plasma concentrations of biomarker candidates and clinical presentation (tumor size, progression-free survival time, or overall survival time) in GBM patients. The plasma concentrations of LRG1, CRP, and C9 showed significant positive correlations with tumor size (R(2) = 0.534, 0.495, and 0.452, respectively). Public Library of Science 2018-03-07 /pmc/articles/PMC5841790/ /pubmed/29513714 http://dx.doi.org/10.1371/journal.pone.0193799 Text en © 2018 Miyauchi 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Miyauchi, Eisuke Furuta, Takuya Ohtsuki, Sumio Tachikawa, Masanori Uchida, Yasuo Sabit, Hemragul Obuchi, Wataru Baba, Tomoko Watanabe, Michitoshi Terasaki, Tetsuya Nakada, Mitsutoshi Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title | Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title_full | Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title_fullStr | Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title_full_unstemmed | Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title_short | Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics |
title_sort | identification of blood biomarkers in glioblastoma by swath mass spectrometry and quantitative targeted absolute proteomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841790/ https://www.ncbi.nlm.nih.gov/pubmed/29513714 http://dx.doi.org/10.1371/journal.pone.0193799 |
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