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A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline
BACKGROUND: Pancreatic carcinoma (PC) is an aggressive malignancy that lacks strategies for early detection. This study aimed to develop a coherent, high-throughput and non-discriminatory pipeline for the novel clinical biomarker discovery of PC. METHODS: We combined mass spectrometry (MS)-intensive...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729477/ https://www.ncbi.nlm.nih.gov/pubmed/29123261 http://dx.doi.org/10.1038/bjc.2017.365 |
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author | Liu, Xiaohui Zheng, Weimin Wang, Wansheng Shen, Huali Liu, Linxiao Lou, Wenhui Wang, Xiaolin Yang, Pengyuan |
author_facet | Liu, Xiaohui Zheng, Weimin Wang, Wansheng Shen, Huali Liu, Linxiao Lou, Wenhui Wang, Xiaolin Yang, Pengyuan |
author_sort | Liu, Xiaohui |
collection | PubMed |
description | BACKGROUND: Pancreatic carcinoma (PC) is an aggressive malignancy that lacks strategies for early detection. This study aimed to develop a coherent, high-throughput and non-discriminatory pipeline for the novel clinical biomarker discovery of PC. METHODS: We combined mass spectrometry (MS)-intensive methods such as isobaric tags for relative and absolute quantitation with two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS), 1D-targeted LC-MS/MS, prime MRM (P-MRM) and stable isotope dilution-based MRM (SID-MRM) to analyse serum samples from healthy people (normal control, NC), patients with benign diseases (BD) and PC patients to identify novel biomarkers of PC. RESULTS: On the basis of the newly developed pipeline, we identified >1000 proteins, verified 142 differentially expressed proteins and finally targeted four proteins for absolute quantitation in 100 serum samples. The novel biomarker panel of apolipoprotein E (APOE), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), apolipoprotein A-I (APOA1), apolipoprotein L1 (APOL1), combining with CA19-9, statistically-significantly improved the sensitivity (95%) and specificity (94.1%), outperforming CA19-9 alone, for the diagnosis of PC. CONCLUSIONS: We developed a highly efficient pipeline for biomarker discovery, verification and validation, with each step systematically informing the next. A panel of proteins that might be clinically relevant biomarkers for PC was found. |
format | Online Article Text |
id | pubmed-5729477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-57294772018-12-05 A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline Liu, Xiaohui Zheng, Weimin Wang, Wansheng Shen, Huali Liu, Linxiao Lou, Wenhui Wang, Xiaolin Yang, Pengyuan Br J Cancer Molecular Diagnostics BACKGROUND: Pancreatic carcinoma (PC) is an aggressive malignancy that lacks strategies for early detection. This study aimed to develop a coherent, high-throughput and non-discriminatory pipeline for the novel clinical biomarker discovery of PC. METHODS: We combined mass spectrometry (MS)-intensive methods such as isobaric tags for relative and absolute quantitation with two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS), 1D-targeted LC-MS/MS, prime MRM (P-MRM) and stable isotope dilution-based MRM (SID-MRM) to analyse serum samples from healthy people (normal control, NC), patients with benign diseases (BD) and PC patients to identify novel biomarkers of PC. RESULTS: On the basis of the newly developed pipeline, we identified >1000 proteins, verified 142 differentially expressed proteins and finally targeted four proteins for absolute quantitation in 100 serum samples. The novel biomarker panel of apolipoprotein E (APOE), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), apolipoprotein A-I (APOA1), apolipoprotein L1 (APOL1), combining with CA19-9, statistically-significantly improved the sensitivity (95%) and specificity (94.1%), outperforming CA19-9 alone, for the diagnosis of PC. CONCLUSIONS: We developed a highly efficient pipeline for biomarker discovery, verification and validation, with each step systematically informing the next. A panel of proteins that might be clinically relevant biomarkers for PC was found. Nature Publishing Group 2017-12-05 2017-11-09 /pmc/articles/PMC5729477/ /pubmed/29123261 http://dx.doi.org/10.1038/bjc.2017.365 Text en Copyright © 2017 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Molecular Diagnostics Liu, Xiaohui Zheng, Weimin Wang, Wansheng Shen, Huali Liu, Linxiao Lou, Wenhui Wang, Xiaolin Yang, Pengyuan A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title | A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title_full | A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title_fullStr | A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title_full_unstemmed | A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title_short | A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
title_sort | new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729477/ https://www.ncbi.nlm.nih.gov/pubmed/29123261 http://dx.doi.org/10.1038/bjc.2017.365 |
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