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.

Cell Metabolism
|August 9, 2023
PubMed

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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