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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
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.
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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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