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MSD-MAP: A Network-Based Systems Biology Platform for Predicting Disease-Metabolite Links.
Henri Wathieu1, Naiem T Issa1, Manisha Mohandoss2
1Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC 20057. United States.
Combinatorial Chemistry & High Throughput Screening
|December 28, 2016
Summary
This study developed MSD-MAP to predict cancer-associated metabolites for colorectal, esophageal, and prostate cancers. The platform successfully identified known metabolite-disease links, aiding in understanding cancer mechanisms.
Area of Science:
- Biochemistry
- Systems Biology
- Oncology
Background:
- Cancer involves cell-wide metabolic dysregulation.
- Metabolomics aims to identify cancer biomarkers and therapeutic targets.
- Aberrant metabolites offer insights into disease mechanisms.
Purpose of the Study:
- To reliably predict metabolites associated with colorectal, esophageal, and prostate cancers.
- To compare metabolite and disease biological action networks using the MSD-MAP platform.
- To leverage systems biology for enhanced cancer metabolomics.
Main Methods:
- Differential gene expression analysis of The Cancer Genome Atlas RNAseq data.
- Construction of relational maps for disease genes and metabolites.
- Utilizing hypergeometric tests and metabolite-protein associations for network analysis.
- Assessing multi-scale association of metabolites with cancers.
Main Results:
- The MSD-MAP platform accurately recapitulated known cancer-metabolite links.
- Network-based mapping aligned with established cancer mechanisms.
- Successful prediction for colorectal, esophageal, and prostate cancers was achieved.
Conclusions:
- MSD-MAP effectively predicts cancer-metabolite associations using systems biology.
- The platform streamlines conventional metabolomic profiling.
- It serves as a valuable predictive tool in cancer research.
