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Updated: Apr 4, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Translational metabolomics in cancer research
Nathaniel W Snyder1,2, Clementina Mesaros1, Ian A Blair1
1Penn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA.
Developing new cancer metabolic biomarkers is crucial for early detection and improved survival. Translational metabolomics offers promising strategies for discovering and validating these essential cancer biomarkers.
Area of Science:
- Oncology
- Metabolomics
- Biomarker Discovery
Background:
- A significant bottleneck exists in translating new cancer metabolic biomarkers into clinical practice.
- Current cancer detection lacks sufficient sensitivity, and treatment monitoring relies on cancer antigens.
- There is a critical need for novel diagnostic tools for early cancer detection and effective treatment monitoring.
Purpose of the Study:
- To review methodologies for discovering and validating cancer metabolic biomarkers.
- To highlight recent advances in translational metabolomics for cancer research.
- To discuss the potential of metabolomics in improving early cancer intervention and patient survival.
Main Methods:
- Exploration of untargeted metabolomics for identifying early cancer biomarkers.
- Application of targeted metabolomics to understand tumor progression mechanisms.
- Review of current methodologies and recent advancements in translational metabolomics for cancer.
Main Results:
- Untargeted metabolomics aids in discovering early cancer biomarkers.
- Targeted metabolomics provides insights into tumor progression.
- Advances in translational metabolomics are paving the way for clinical application.
Conclusions:
- Translational metabolomics holds significant promise for early cancer detection.
- Implementing metabolomic strategies can lead to earlier cancer intervention.
- Further development in translational metabolomics is key to improving cancer patient outcomes.
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