ISSN 2472-0429

Advances in Cancer Prevention
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  • Adv Cancer Prev 9: 263,
  • DOI: 10.4172/2472-0429.1000263

Metabolomics of Cancer Stem Cells: Identifying Unique Vulnerabilities

Aar Lie*
Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, United States
*Corresponding Author : Aar Lie, Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, United States, Email: aarlie@gmail.com

Received Date: Jan 01, 2025 / Published Date: Jan 31, 2025

Abstract

Cancer stem cells (CSCs) play a critical role in tumor initiation, progression, and resistance to therapy. Metabolomics, the comprehensive study of cellular metabolites, has emerged as a powerful tool to uncover the unique metabolic vulnerabilities of CSCs. CSCs exhibit distinct metabolic adaptations, including altered glucose metabolism, lipid synthesis, redox balance, and mitochondrial function, which support their self-renewal and survival under stress conditions. Recent advances in metabolomic profiling have identified key metabolic pathways, such as glycolysis, oxidative phosphorylation, glutamine metabolism, and fatty acid oxidation, that are essential for CSC maintenance and plasticity. Targeting these metabolic dependencies presents a promising therapeutic strategy for eradicating CSCs and overcoming drug resistance. Additionally, metabolic biomarkers hold potential for CSC identification and tracking in cancer progression. Despite these advancements, challenges remain in translating metabolomic insights into clinical applications due to tumor heterogeneity and metabolic plasticity. Future research should focus on integrating metabolomics with multi-omics approaches to develop precision medicine strategies for targeting CSC metabolism.

Citation: Aar L (2025) Metabolomics of Cancer Stem Cells: Identifying Unique Vulnerabilities Adv Cancer Prev 9: 263. Doi: 10.4172/2472-0429.1000263

Copyright: © 2025 Aar L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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