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Updated: Jul 19, 2025

Assessment of the Metabolic Profile of Primary Leukemia Cells
Published on: November 21, 2018
Emerging therapies in cancer metabolism
Yi Xiao1, Tian-Jian Yu1, Ying Xu1
1Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Abstract:
Metabolic reprogramming in cancer is not only a biological hallmark but also reveals treatment vulnerabilities. Numerous metabolic molecules have shown promise as treatment targets to impede tumor progression in preclinical studies, with some advancing to clinical trials. However, the intricacy and adaptability of metabolic networks hinder the effectiveness of metabolic therapies. This review summarizes the metabolic targets for cancer treatment and provides an overview of the current status of clinical trials targeting cancer metabolism. Additionally, we decipher crucial factors that limit the efficacy of metabolism-based therapies and propose future directions. With advances in integrating multi-omics, single-cell, and spatial technologies, as well as the ability to track metabolic adaptation more precisely and dynamically, clinicians can personalize metabolic therapies for improved cancer treatment.
Insights
Cancer metabolism reprogramming offers treatment targets but faces challenges due to network complexity. Advances in multi-omics and tracking metabolic adaptation promise personalized cancer therapies.
Area of Science:
- Oncology
- Metabolic pathways
- Cancer biology
Background:
- Metabolic reprogramming is a key hallmark of cancer, presenting therapeutic vulnerabilities.
- Numerous metabolic targets show preclinical promise for impeding tumor progression, with some in clinical trials.
- The complexity and adaptability of cancer metabolic networks limit current therapy effectiveness.
Purpose of the Study:
- To review metabolic targets for cancer treatment.
- To provide an overview of clinical trials targeting cancer metabolism.
- To identify factors limiting metabolism-based therapy efficacy and propose future directions.
Main Methods:
- Literature review of metabolic targets in cancer.
- Analysis of current clinical trial status for cancer metabolism therapies.
- Discussion of challenges and future directions integrating multi-omics and advanced tracking technologies.
Main Results:
- Metabolic reprogramming is a critical aspect of cancer biology and a source of therapeutic targets.
- Despite promise, the adaptability of metabolic networks poses significant challenges to treatment efficacy.
- Integrating multi-omics, single-cell, and spatial technologies offers new avenues for precise metabolic adaptation tracking.
Conclusions:
- Metabolism-based cancer therapies hold significant potential but require overcoming network complexity.
- Advances in technology enable more precise and dynamic tracking of metabolic adaptation.
- Personalized metabolic therapies, guided by integrated data, are a promising future direction for improved cancer treatment.
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