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Host systemic metabolism and cancer metabolic vulnerabilities: mechanisms and therapeutic opportunities
Rashid Mir1,2, Jameel Barnawi2, Naseh A Algehainy2,1
1Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, Tabuk, Saudi Arabia.
Background:
Central molecular mediators-including hypoxia-inducible factors (HIF-1α/HIF-2α), MYC, wild-type and mutant p53, NF-κB, STAT3, SREBPs, NRF2, and KRAS-orchestrate these pathways by linking nutrient availability to oncogenic signalling, epigenetic reprogramming, and immune-metabolic crosstalk within the tumour microenvironment. Key metabolic enzymes including HK2, PKM2, LDH-A, IDH1/2, GLS1, and FASN serve as direct effectors and therapeutic targets. Mitochondrial dynamics-biogenesis (PGC-1α), fission (DRP1), fusion (MFN1/2, OPA1), and mitophagy (PINK1-Parkin)-constitute a critical regulatory layer. The bidirectional epigenetic-metabolic axis, mediated by acetyl-CoA, SAM, α-ketoglutarate, 2-hydroxyglutarate, and lysine lactylation, amplifies oncogenic transcriptional programs and locks cells into malignant states. Central to this review is the thesis that metabolic plasticity-the capacity of cancer cells to dynamically switch between and co-opt multiple metabolic programs-is the primary driver of tumour progression, immune evasion, and resistance to therapy. Understanding and targeting this plasticity represents the central translational challenge of cancer metabolic oncology.
Methods:
A comprehensive narrative literature review was conducted across PubMed, Scopus, and Web of Science (2015-2025) using terms including metabolic reprogramming, Warburg effect, oncometabolites, mitochondrial dynamics, epigenetic metabolism, immunometabolism, and metabolic therapeutics. Peer-reviewed primary research and comprehensive reviews were evaluated. Limitations include restriction to English-language literature (2015-2025), potential publication bias toward high-impact journals, and the rapidly evolving nature of the field.
Conclusion:
Metabolic reprogramming is governed by an interconnected network of transcription factors, signalling cascades, epigenetic regulators, mitochondrial dynamics, and TME-immune crosstalk. FDA-validated targets include IDH1/2 (ivosidenib, enasidenib, vorasidenib-August 2024), HIF-2α (belzutifan), and mTOR (everolimus). An expanding clinical pipeline encompasses GLS1, MCT1, OXPHOS Complex I, FASN, and metabolic immune checkpoints. Future advances require single-cell/spatial metabolomics, AI-driven patient stratification, and rational combination strategies that preempt adaptive metabolic escape. Future advances require AI-driven genome-scale metabolic modelling for patient stratification, single-cell and spatial metabolomics to resolve intra-tumoral metabolic heterogeneity, and rational combination strategies targeting multiple metabolic nodes simultaneously to preempt adaptive resistance. Integration of circadian pharmacology, host metabolic comorbidity management (obesity, diabetes, gut microbiome modulation), and TME metabolic normalisation into cancer treatment frameworks will drive the next generation of precision metabolic oncology.
Insights
Cancer cells exhibit metabolic plasticity, enabling them to adapt and evade treatment. Targeting this metabolic flexibility is key to advancing cancer therapy and overcoming resistance.
Area of Science:
- Oncology
- Metabolism
- Molecular Biology
Background:
- Cancer cells reprogram metabolism, influenced by factors like hypoxia-inducible factors (HIFs) and MYC, linking nutrient availability to oncogenic signaling.
- Key metabolic enzymes (e.g., IDH1/2, GLS1, FASN) and mitochondrial dynamics (biogenesis, fission, fusion, mitophagy) are critical regulators and therapeutic targets.
- The epigenetic-metabolic axis, involving molecules like acetyl-CoA and SAM, amplifies oncogenic programs, driving malignant states.
Purpose of the Study:
- To review the central role of metabolic plasticity in cancer progression, immune evasion, and therapeutic resistance.
- To highlight key molecular mediators and metabolic enzymes involved in cancer metabolic reprogramming.
- To discuss the translational challenges and future directions in targeting cancer metabolism.
Main Methods:
- A comprehensive narrative literature review was conducted using PubMed, Scopus, and Web of Science databases.
- Searched terms included metabolic reprogramming, Warburg effect, oncometabolites, mitochondrial dynamics, epigenetic metabolism, immunometabolism, and metabolic therapeutics (2015-2025).
- Evaluated peer-reviewed primary research and comprehensive reviews, with limitations including English-language restriction and potential publication bias.
Main Results:
- Metabolic reprogramming is orchestrated by interconnected transcription factors, signaling cascades, epigenetic regulators, mitochondrial dynamics, and tumor microenvironment (TME)-immune crosstalk.
- FDA-approved targets include IDH1/2, HIF-2α, and mTOR, with a growing pipeline targeting GLS1, FASN, and metabolic immune checkpoints.
- Understanding metabolic plasticity is crucial for overcoming tumor progression, immune evasion, and therapy resistance.
Conclusions:
- Future advances require integrating single-cell/spatial metabolomics, AI for patient stratification, and combination therapies to target multiple metabolic nodes.
- Integrating circadian pharmacology, comorbidity management, and TME metabolic normalization will advance precision metabolic oncology.
- Targeting metabolic plasticity represents a critical translational challenge for developing effective cancer therapies.
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