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Metabolic reprogramming and plasticity drive tumor progression and resistance through interconnected transcription factors and enzymesMetabolic Plasticity Drives Cancer Growth and Resistance

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Key Takeaway
Note that targeting metabolic enzymes and mitochondrial dynamics may address tumor progression and treatment resistance.

This narrative review explores the role of metabolic reprogramming and plasticity in cancer progression. The authors synthesize how an interconnected network of transcription factors, including HIF-1α, HIF-2α, MYC, p53, NF-κB, STAT3, SREBPs, NRF2, and KRAS, governs these processes alongside signaling cascades and epigenetic regulators.

Key findings highlight specific metabolic enzymes as direct therapeutic targets, such as HK2, PKM2, LDH-A, IDH1/2, GLS1, and FASN. Additionally, the review identifies mitochondrial dynamics—including biogenesis (PGC-1α), fission (DRP1), fusion (MFN1/2, OPA1), and mitophagy (PINK1-Parkin)—as a critical regulatory layer. The authors also discuss the epigenetic-metabolic axis mediated by metabolites like acetyl-CoA and α-ketoglutarate which amplifies oncogenic programs.

The review notes several limitations, including a restriction to English-language literature from 2015 to 2025 and potential publication bias toward high-impact journals. The rapid evolution of the field may also impact the current scope. Clinically, these findings suggest that targeting metabolic plasticity could address tumor resistance, with future potential for AI-driven modeling and combination therapies.

How this fits prior evidence

This review addresses a gap by detailing the specific molecular drivers of metabolic reprogramming, such as transcription factors like MYC and signaling cascades. It extends prior evidence regarding how metabolic checkpoints like lactate and adenosine drive immune escape and resistance to checkpoint blockade by identifying additional targets like HK2, PKM2, and LDH-A.

A recent review of cancer research reveals that metabolic plasticity, the ability of cancer cells to change how they use energy, is a primary driver of tumor growth and treatment resistance. The review, covering English-language studies from 2015 to 2025, describes a complex network of transcription factors, signaling pathways, and mitochondrial dynamics that govern this process.

The authors highlight several key players, including transcription factors like HIF-1α, MYC, and p53, as well as metabolic enzymes such as HK2, PKM2, and IDH1/2. They also point to mitochondrial dynamics, including biogenesis and fission, as a critical regulatory layer. The review notes that epigenetic changes, mediated by molecules like acetyl-CoA and α-ketoglutarate, amplify oncogenic programs.

Several drugs already target these pathways, including ivosidenib and enasidenib for IDH1/2 mutations, belzutifan for HIF-2α, and everolimus for mTOR. However, the review is a narrative summary of existing research, not a new clinical trial. It does not report on safety or effectiveness of these drugs.

Because this is a review, not a controlled study, the findings are based on published research and may be subject to publication bias. The rapidly evolving nature of the field means new discoveries could change the picture. Readers should understand this as a broad overview of current knowledge, not a definitive guide to treatment.

What this means for you:
Cancer's ability to change its metabolism is a key driver of growth and resistance, but more research is needed.

Common questions

What is metabolic plasticity in cancer?

Metabolic plasticity is the ability of cancer cells to change how they use energy and nutrients to survive, grow, and resist treatment. It involves a network of genes, enzymes, and cellular processes.

What drugs target metabolic pathways in cancer?

The review mentions FDA-approved drugs like ivosidenib and enasidenib for IDH1/2 mutations, belzutifan for HIF-2α, and everolimus for mTOR. These target specific metabolic enzymes or pathways.

Is this review based on new clinical trials?

No, this is a narrative review of existing research from 2015 to 2025. It summarizes what is known about metabolic plasticity but does not report new trial results or patient outcomes.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedJul 2026
View Original Abstract ↓
BackgroundCentral 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.MethodsA 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.ConclusionMetabolic 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.
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