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Metabolomic biomarkers of pancreatic cancer: a meta-analysis study
Pancreatic cancer (PC) is an aggressive disease with high mortality rates, however, there is no blood test for early detection and diagnosis of this disease. Several research groups have reported on metabolomics based clinical investigations to identify biomarkers of PC, however there is a lack of a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620306/ https://www.ncbi.nlm.nih.gov/pubmed/28978166 http://dx.doi.org/10.18632/oncotarget.20324 |
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author | Mehta, Khyati Y. Wu, Hung-Jen Menon, Smrithi S. Fallah, Yassi Zhong, Xiaogang Rizk, Nasser Unger, Keith Mapstone, Mark Fiandaca, Massimo S. Federoff, Howard J. Cheema, Amrita K. |
author_facet | Mehta, Khyati Y. Wu, Hung-Jen Menon, Smrithi S. Fallah, Yassi Zhong, Xiaogang Rizk, Nasser Unger, Keith Mapstone, Mark Fiandaca, Massimo S. Federoff, Howard J. Cheema, Amrita K. |
author_sort | Mehta, Khyati Y. |
collection | PubMed |
description | Pancreatic cancer (PC) is an aggressive disease with high mortality rates, however, there is no blood test for early detection and diagnosis of this disease. Several research groups have reported on metabolomics based clinical investigations to identify biomarkers of PC, however there is a lack of a centralized metabolite biomarker repository that can be used for meta-analysis and biomarker validation. Furthermore, since the incidence of PC is associated with metabolic syndrome and Type 2 diabetes mellitus (T2DM), there is a need to uncouple these common metabolic dysregulations that may otherwise diminish the clinical utility of metabolomic biosignatures. Here, we attempted to externally replicate proposed metabolite biomarkers of PC reported by several other groups in an independent group of PC subjects. Our study design included a T2DM cohort that was used as a non-cancer control and a separate cohort diagnosed with colorectal cancer (CRC), as a cancer disease control to eliminate possible generic biomarkers of cancer. We used targeted mass spectrometry for quantitation of literature-curated metabolite markers and identified a biomarker panel that discriminates between normal controls (NC) and PC patients with high accuracy. Further evaluation of our model with CRC, however, showed a drop in specificity for the PC biomarker panel. Taken together, our study underscores the need for a more robust study design for cancer biomarker studies so as to maximize the translational value and clinical implementation. |
format | Online Article Text |
id | pubmed-5620306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56203062017-10-03 Metabolomic biomarkers of pancreatic cancer: a meta-analysis study Mehta, Khyati Y. Wu, Hung-Jen Menon, Smrithi S. Fallah, Yassi Zhong, Xiaogang Rizk, Nasser Unger, Keith Mapstone, Mark Fiandaca, Massimo S. Federoff, Howard J. Cheema, Amrita K. Oncotarget Meta-Analysis Pancreatic cancer (PC) is an aggressive disease with high mortality rates, however, there is no blood test for early detection and diagnosis of this disease. Several research groups have reported on metabolomics based clinical investigations to identify biomarkers of PC, however there is a lack of a centralized metabolite biomarker repository that can be used for meta-analysis and biomarker validation. Furthermore, since the incidence of PC is associated with metabolic syndrome and Type 2 diabetes mellitus (T2DM), there is a need to uncouple these common metabolic dysregulations that may otherwise diminish the clinical utility of metabolomic biosignatures. Here, we attempted to externally replicate proposed metabolite biomarkers of PC reported by several other groups in an independent group of PC subjects. Our study design included a T2DM cohort that was used as a non-cancer control and a separate cohort diagnosed with colorectal cancer (CRC), as a cancer disease control to eliminate possible generic biomarkers of cancer. We used targeted mass spectrometry for quantitation of literature-curated metabolite markers and identified a biomarker panel that discriminates between normal controls (NC) and PC patients with high accuracy. Further evaluation of our model with CRC, however, showed a drop in specificity for the PC biomarker panel. Taken together, our study underscores the need for a more robust study design for cancer biomarker studies so as to maximize the translational value and clinical implementation. Impact Journals LLC 2017-08-18 /pmc/articles/PMC5620306/ /pubmed/28978166 http://dx.doi.org/10.18632/oncotarget.20324 Text en Copyright: © 2017 Mehta et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Meta-Analysis Mehta, Khyati Y. Wu, Hung-Jen Menon, Smrithi S. Fallah, Yassi Zhong, Xiaogang Rizk, Nasser Unger, Keith Mapstone, Mark Fiandaca, Massimo S. Federoff, Howard J. Cheema, Amrita K. Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title | Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title_full | Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title_fullStr | Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title_full_unstemmed | Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title_short | Metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
title_sort | metabolomic biomarkers of pancreatic cancer: a meta-analysis study |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620306/ https://www.ncbi.nlm.nih.gov/pubmed/28978166 http://dx.doi.org/10.18632/oncotarget.20324 |
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