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Mehta KY, Wu HJ, Menon SS, et al. Metabolomic biomarkers of pancreatic cancer: a meta-analysis study. Oncotarget. 2017;8(40):68899-68915doi: 10.18632/oncotarget.20324.
Mehta, K. Y., Wu, H. J., Menon, S. S., Fallah, Y., Zhong, X., Rizk, N., Unger, K., Mapstone, M., Fiandaca, M. S., Federoff, H. J., & Cheema, A. K. (2017). Metabolomic biomarkers of pancreatic cancer: a meta-analysis study. Oncotarget, 8(40), 68899-68915. https://doi.org/10.18632/oncotarget.20324
Mehta, Khyati Y, et al. "Metabolomic biomarkers of pancreatic cancer: a meta-analysis study." Oncotarget vol. 8,40 (2017): 68899-68915. doi: https://doi.org/10.18632/oncotarget.20324
Mehta KY, Wu HJ, Menon SS, Fallah Y, Zhong X, Rizk N, Unger K, Mapstone M, Fiandaca MS, Federoff HJ, Cheema AK. Metabolomic biomarkers of pancreatic cancer: a meta-analysis study. Oncotarget. 2017 Aug 18;8(40):68899-68915. doi: 10.18632/oncotarget.20324. eCollection 2017 Sep 15. PMID: 28978166; PMCID: PMC5620306.
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Oncotarget. 2017 Aug 18;8(40):68899-68915. doi: 10.18632/oncotarget.20324. eCollection 2017 Sep 15.

Metabolomic biomarkers of pancreatic cancer: a meta-analysis study.

Oncotarget

Khyati Y Mehta, Hung-Jen Wu, Smrithi S Menon, Yassi Fallah, Xiaogang Zhong, Nasser Rizk, Keith Unger, Mark Mapstone, Massimo S Fiandaca, Howard J Federoff, Amrita K Cheema

Affiliations

  1. Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.
  2. Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, United States of America.
  3. Department of Biostatistics Bioinformatics and Biomathematics, Georgetown University, Washington, DC, United States of America.
  4. Department of Health Sciences, Qatar University, Doha, Qatar.
  5. Lombardi Comprehensive Cancer Center, Med-Star Georgetown University Hospital, Washington, DC, United States of America.
  6. Department of Neurology, University of California, Irvine, CA, United States of America.
  7. Department of Neurological Surgery, University of California, Irvine, CA, United States of America.

PMID: 28978166 PMCID: PMC5620306 DOI: 10.18632/oncotarget.20324

Abstract

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.

Keywords: biomarkers; metabolomics; pancreatic cancer

Conflict of interest statement

CONFLICTS OF INTEREST The authors declare no competing conflicts of interest.

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