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Metastasis

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Updated: Jul 7, 2025

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

Metabolomics at the tumor microenvironment interface: Decoding cellular conversations.

Naomi Berrell¹, Habib Sadeghirad¹, Tony Blick¹

¹Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.

Medicinal Research Reviews

|December 26, 2023

Summary

This summary is machine-generated.

Cancer

Keywords:

cancer metabolism glucose immunotherapy metabolic interventions spatial biology

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Area of Science:

Oncology and Molecular Biology

Background:

Cancer heterogeneity poses a significant challenge to effective treatments.
Altered cellular energetics is a key hallmark of cancer, impacting tumor growth and drug resistance.
Tumor metabolic profiling reveals heterogeneity, suggesting personalized combination therapies with metabolic interventions can improve patient outcomes.

Purpose of the Study:

To review how altered metabolic pathways drive cancer progression and drug resistance.
To explore the capabilities of spatial metabolomics technologies.
To discuss the integration of spatial metabolomics into clinical practice for improved patient outcomes.

Main Methods:

Review of current literature on cancer metabolism and spatial metabolomics.
Analysis of how metabolite distribution within the tumor microenvironment influences cancer biology.
Examination of recent advancements in spatial metabolomics, including subcellular resolution.

Main Results:

Metabolomic studies are identifying novel biomarkers and therapeutic targets.
Spatial metabolomics enables a deeper understanding of metabolite distribution and its role in cancer.
Techniques now allow metabolite mapping at the subcellular level.

Conclusions:

Understanding metabolic heterogeneity is crucial for developing effective cancer therapies.
Spatial metabolomics offers potential for improved precision medicine, earlier diagnosis, and intraoperative tumor margin identification.
Integrating spatial metabolomics into clinical practice could significantly enhance patient outcomes.