# From Metabolism to Longevity: Molecular Mechanisms Underlying Metformin’s Anticancer and Anti-Aging Effects

**Authors:** Slavica Vujovic, Svetlana Perovic, Milorad Vlaovic, Andjelka Scepanovic, Stasa Scepanovic

PMC · DOI: 10.3390/cimb48030286 · Current Issues in Molecular Biology · 2026-03-07

## TL;DR

Metformin, a diabetes drug, may slow cancer and aging by altering cell energy processes, but more research is needed to confirm its effectiveness in non-diabetic people.

## Contribution

This paper reviews metformin's molecular mechanisms in cancer and aging, highlighting the need for large-scale trials to validate its potential in non-diabetic populations.

## Key findings

- Metformin may slow cancer and aging by modulating AMPK and mTOR pathways.
- Preclinical success with metformin does not consistently translate to human clinical trials.
- Observational data on metformin's anticancer effects are often confounded by clinical variables.

## Abstract

Metformin has stood as the primary clinical tool for type 2 diabetes for decades, yet its potential reach into oncology and gerontology is only now being critically dissected. This review evaluates how metformin might actually pull the levers of cancer progression and biological aging. Evidence from across various models suggests that the drug works by recalibrating cellular energy homeostasis—specifically by triggering AMPK and dampening the mTOR pathway. This signaling shift ripples through downstream processes like autophagy and oxidative stress regulation, theoretically slowing tumor growth and pushing back against cellular senescence. However, our look at the literature from PubMed, Scopus, and Web of Science shows a messy reality where preclinical success often stalls during clinical translation. Even though observational data point toward lower cancer rates in diabetic cohorts, these “wins” are frequently skewed by clinical confounders and inconsistent data. This makes the leap from metabolic control to a broad-spectrum anti-aging or anticancer therapy a point of serious contention. We argue that only large-scale, randomized trials can truly verify if metformin is safe and effective for non-diabetic populations. In the end, untangling these molecular routes is the only way to see if metformin belongs in future oncological or healthy aging strategies. That being said, at least mechanistically, metformin definitely offers potential that warrants such large-scale research.

## Linked entities

- **Proteins:** PRKAA1 (protein kinase AMP-activated catalytic subunit alpha 1), MTOR (mechanistic target of rapamycin kinase)
- **Chemicals:** metformin (PubChem CID 4091)
- **Diseases:** type 2 diabetes (MONDO:0005148), cancer (MONDO:0004992)

## Full-text entities

- **Genes:** VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, CCND1 (cyclin D1) [NCBI Gene 595] {aka BCL1, D11S287E, PRAD1, U21B31}, PRKAA1 (protein kinase AMP-activated catalytic subunit alpha 1) [NCBI Gene 5562] {aka AMPK, AMPK alpha 1, AMPKa1}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, IPMK (inositol polyphosphate multikinase) [NCBI Gene 253430], CDKN1A (cyclin dependent kinase inhibitor 1A) [NCBI Gene 1026] {aka CAP20, CDKN1, CIP1, MDA-6, P21, SDI1}, oct-1 (Organic cation transporter 1) [NCBI Gene 172841], IGF1 (insulin like growth factor 1) [NCBI Gene 3479] {aka IGF, IGF-I, IGFI, MGF}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, NPC1 (NPC intracellular cholesterol transporter 1) [NCBI Gene 4864] {aka NPC, POGZ, SLC65A1}, STK11 (serine/threonine kinase 11) [NCBI Gene 6794] {aka LKB1, PJS, hLKB1}, TSC1 (TSC complex subunit 1) [NCBI Gene 7248] {aka LAM, TSC}, PTGS2 (prostaglandin-endoperoxide synthase 2) [NCBI Gene 5743] {aka COX-2, COX2, GRIPGHS, PGG/HS, PGHS-2, PHS-2}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, BECN1 (beclin 1) [NCBI Gene 8678] {aka ATG6, VPS30, beclin1}, CD9 (CD9 molecule) [NCBI Gene 928] {aka BTCC-1, DRAP-27, MIC3, MRP-1, TSPAN-29, TSPAN29}, MAP2K7 (mitogen-activated protein kinase kinase 7) [NCBI Gene 5609] {aka JNKK2, MAPKK7, MEK, MEK 7, MKK7, PRKMK7}, PDGFB (platelet derived growth factor subunit B) [NCBI Gene 5155] {aka IBGC5, PDGF-2, PDGF2, SIS, SSV, c-sis}, EREG (epiregulin) [NCBI Gene 2069] {aka EPR, ER, Ep}, MAPK8 (mitogen-activated protein kinase 8) [NCBI Gene 5599] {aka JNK, JNK-46, JNK1, JNK1A2, JNK21B1/2, PRKM8}, JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725] {aka AP-1, AP1, c-Jun, cJUN, p39}, TET3 (tet methylcytosine dioxygenase 3) [NCBI Gene 200424] {aka BEFAHRS, hCG_40738}, ACAD10 (acyl-CoA dehydrogenase family member 10) [NCBI Gene 80724], MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, HIF1A (hypoxia inducible factor 1 subunit alpha) [NCBI Gene 3091] {aka HIF-1-alpha, HIF-1A, HIF-1alpha, HIF1, HIF1-ALPHA, MOP1}, HNF4A (hepatocyte nuclear factor 4 alpha) [NCBI Gene 3172] {aka FRTS4, HNF4, HNF4a7, HNF4a8, HNF4a9, HNF4alpha}, TSC2 (TSC complex subunit 2) [NCBI Gene 7249] {aka LAM, PPP1R160, TSC4}, PRKAA2 (protein kinase AMP-activated catalytic subunit alpha 2) [NCBI Gene 5563] {aka AMPK, AMPK2, AMPKa2, PRKAA}, SNAI1 (snail family transcriptional repressor 1) [NCBI Gene 6615] {aka SLUGH2, SNA, SNAH, SNAIL, SNAIL1, dJ710H13.1}, COX2 (cytochrome c oxidase subunit II) [NCBI Gene 4513] {aka COII, MTCO2}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, DDIT4 (DNA damage inducible transcript 4) [NCBI Gene 54541] {aka Dig2, REDD-1, REDD1}, ULK1 (unc-51 like autophagy activating kinase 1) [NCBI Gene 8408] {aka ATG1, ATG1A, UNC51, Unc51.1, hATG1}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, ACACA (acetyl-CoA carboxylase alpha) [NCBI Gene 31] {aka ACAC, ACACAD, ACACalpha, ACC, ACC1, ACCA}, PGP (phosphoglycolate phosphatase) [NCBI Gene 283871] {aka AUM, G3PP, PGPase}, PAM (peptidylglycine alpha-amidating monooxygenase) [NCBI Gene 5066] {aka PAL, PAM-1, PHM}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, CDK4 (cyclin dependent kinase 4) [NCBI Gene 1019] {aka CMM3, MCPH31, PSK-J3}, ZHX2 (zinc fingers and homeoboxes 2) [NCBI Gene 22882] {aka AFR1, RAF}, DDIT3 (DNA damage inducible transcript 3) [NCBI Gene 1649] {aka AltDDIT3, C/EBPzeta, CEBPZ, CHOP, CHOP-10, CHOP10}
- **Diseases:** inflammation (MESH:D007249), osteosarcoma (MESH:D012516), ovarian and prostate cancer (MESH:D010051), metabolic syndrome (MESH:D024821), polycystic ovary syndrome (MESH:D011085), hypoxic (MESH:D002534), age-related diseases (MESH:D010024), breast cancer (MESH:D001943), Hyperglycemia (MESH:D006943), Cancer (MESH:D009369), impaired glucose (MESH:D044882), hypoglycemic (MESH:C000721848), lactic acidosis (MESH:D000140), metabolic disorders (MESH:D008659), melanoma (MESH:D008545), thyroid cancer (MESH:D013964), degenerative diseases (MESH:D019636), pancreatic cancer (MESH:D010190), colon cancer (MESH:D015179), gastrointestinal distress (MESH:D012128), diabetes (MESH:D003920), dependent (MESH:D019966), cardiovascular diseases (MESH:D002318), T2DM (MESH:D003924), obesity (MESH:D009765), carcinogenesis (MESH:D063646), lung and prostate cancers (MESH:D011471), acute myeloid leukemia (MESH:D015470), hyperinsulinemia (MESH:D006946), pancreatic lesions (MESH:D010182), injury to (MESH:D014947), endometrial cancer (MESH:D016889)
- **Chemicals:** quercetin (MESH:D011794), glucose (MESH:D005947), Metformin (MESH:D008687), carboplatin (MESH:D016190), ATP (MESH:D000255), G6P (MESH:D019298), PGE2 (MESH:D015232), aspirin (MESH:D001241), AGEs (MESH:D017127), Cisplatin (MESH:D002945), dihydroxyacetone phosphate (MESH:D004099), ADP (MESH:D000244), TCA (MESH:D014238), glycerol (MESH:D005990), Berberine (MESH:D001599), Resveratrol (MESH:D000077185), AMP (MESH:D000249), lactate (MESH:D019344), cAMP (MESH:D000242), fatty acid (MESH:D005227), Ca2+ (-), glycerol-3-phosphate (MESH:C029620), phenformin (MESH:D010629), B12 (MESH:C034730), calcium (MESH:D002118), biguanide (MESH:D001645)
- **Species:** Cricetinae (hamsters, subfamily) [taxon 10026], Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090], Caenorhabditis elegans (species) [taxon 6239]
- **Cell lines:** SKM-1 — Homo sapiens (Human), Adult acute myeloid leukemia, Cancer cell line (CVCL_0098), PC-3 — Homo sapiens (Human), Prostate carcinoma, Cancer cell line (CVCL_0035), Ishikawa — Homo sapiens (Human), Type I endometrial adenocarcinoma, Cancer cell line (CVCL_2529), LNCaP — Homo sapiens (Human), Prostate carcinoma, Cancer cell line (CVCL_0395)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13025945/full.md

## References

106 references — full list in the complete paper: https://tomesphere.com/paper/PMC13025945/full.md

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Source: https://tomesphere.com/paper/PMC13025945