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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Translational metabolomics in cancer research
Biomarkers in medicine, v 9(9), pp 821-834
01 Jan 2015
PMID: 26329905
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Over the last decade there has been a bottleneck in the introduction of new validated cancer metabolic biomarkers into clinical practice. Unfortunately, there are no biomarkers with adequate sensitivity for the early detection of cancer, and there remain a reliance on cancer antigens for monitoring treatment. The need for new diagnostics has led to the exploration of untargeted metabolomics for discovery of early biomarkers of specific cancers and targeted metabolomics to elucidate mechanistic aspects of tumor progression. The successful translation of such strategies to the treatment of cancer would allow earlier intervention to improve survival. We have reviewed the methodology that is being used to achieve these goals together with recent advances in implementing translational metabolomics in cancer.
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Details
- Title
- Translational metabolomics in cancer research
- Creators
- Nathaniel W. Snyder - Drexel UniversityClementina Mesaros - Translational TherapeuticsIan A. Blair - Translational Therapeutics
- Publication Details
- Biomarkers in medicine, v 9(9), pp 821-834
- Publisher
- Future Medicine Ltd
- Number of pages
- 14
- Grant note
- R01CA158328; P30ES023720; P30ES013508; P30CA016520 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA P30CA016520 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) P30ES013508 / NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000362033300002
- Scopus ID
- 2-s2.0-84942876036
- Other Identifier
- 991019167868904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Medicine, Research & Experimental