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Updated: May 19, 2026

Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry

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Published on: June 9, 2019

Introduction to Cancer Metabolism.

Gomathi Mohan¹, Mukesh Meena², Manzer H Siddiqui³

¹Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Chennai, Tamil Nadu, India.

Cancer Treatment and Research

|May 17, 2026

Summary

Tumor cells possess unique metabolic profiles, utilizing nutrients like glucose and fatty acids differently than normal cells. Targeting these cancer-specific metabolic vulnerabilities offers a promising strategy for developing new anticancer therapies.

Keywords:

ATP Cancer cells Disease progression Metabolic cross talk Tumor metabolism

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Last Updated: May 19, 2026

Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry

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Published on: June 9, 2019

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Transmitochondrial Cybrid Generation Using Cancer Cell Lines

Transmitochondrial Cybrid Generation Using Cancer Cell Lines

Published on: March 17, 2023

Area of Science:

Oncology
Metabolic Biochemistry

Background:

Tumor cells exhibit distinct metabolic phenotypes compared to normal cells.
Tumor metabolism involves complex interactions between interconnected metabolic compartments.

Purpose of the Study:

To highlight the metabolic differences between tumor and normal cells.
To identify targetable metabolic weaknesses in cancer for therapeutic intervention.

Main Methods:

Analysis of metabolic pathways in tumor cells.
Investigation of metabolic cross-talk within the tumor microenvironment.

Main Results:

Tumor cells show elevated metabolism of fatty acids, glutamine, acetate, hydroxybutyrate, pyruvate, lactate, and glucose.
Metabolic flexibility aids tumor cells in generating ATP, maintaining redox balance, and supporting biosynthesis.
Experimental data suggest metabolic cross-talk between distinct cell populations can drive cancer growth.

Conclusions:

Metabolic variations between tumor and normal cells present a viable target for anticancer strategies.
Cancer cells adapt their metabolism and influence the tumor microenvironment to ensure survival and proliferation.
Targeting identified metabolic weaknesses offers potential for novel therapeutic interventions.