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Updated: Jun 12, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Decoding cancer across scales with metabolomics.

Joe L Rowles^1,2,3, Gary J Patti^4,5,6

¹Department of Chemistry, Washington University in St. Louis, St. Louis, MO, USA.

Nature Reviews. Cancer

|February 20, 2026

Summary

This summary is machine-generated.

Cancer cells reprogram metabolism for growth, but nutrient needs vary by cancer type and location. This study uses metabolomics to map nutrient demands from individual cancer cells to distant tissues.

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Area of Science:

Biochemistry
Cancer Biology
Metabolomics

Background:

Malignant cells alter metabolism to support proliferation.
Nutrient requirements for diverse cancers and anatomical sites are largely unknown.
Nutrient supply from stromal or distant cells via metabolic reprogramming is poorly understood.

Purpose of the Study:

To define the nutrient demands of cancer cells.
To identify metabolic relationships within the tumor microenvironment.
To explore metabolic crosstalk between cancer cells and distant tissues.

Main Methods:

Utilizing metabolomics workflows across three scales: cancer cells, tumor microenvironment, and tumor macroenvironment.
Employing cell culture, animal models, and human patient specimens.
Applying mass spectrometry-based global profiling of metabolites and lipids with advanced computational pipelines.

Main Results:

Detailed workflows for interrogating cancer metabolism at cellular, microenvironment, and macroenvironment levels.
Strategies for analyzing nutrient demands and metabolic crosstalk in cancer.
Highlighting the role of emerging mass spectrometry technologies.

Conclusions:

Metabolomics offers a biochemical approach to understand cancer nutrient requirements.
The outlined workflows address gaps in knowledge regarding cancer metabolic reprogramming.
This research provides a framework for studying cancer metabolism across multiple scales.