# Obesity and Cancer: From Systemic Metabolic Reprogramming to Immunotherapy Paradox

**Authors:** Guoxiao Han, Shuyu Yuan, Wangui Yu

PMC · DOI: 10.3390/metabo16030174 · Metabolites · 2026-03-06

## TL;DR

Obesity promotes cancer by altering metabolism and the tumor environment, and combining metabolic treatments with immunotherapy could improve cancer outcomes.

## Contribution

A multi-layered framework linking systemic obesity signals to tumor microenvironment barriers and proposing new treatment strategies.

## Key findings

- Obesity drives tumorigenesis through metabolic, hormonal, and inflammatory changes that condition the tumor microenvironment.
- Conventional metrics like BMI are insufficient to capture cancer-relevant obesity exposures.
- Combining metabolic interventions with immunotherapy may reverse immune exhaustion and improve treatment outcomes.

## Abstract

What are the main findings?
Obesity drives tumorigenesis through coordinated metabolic, hormonal, and inflammatory remodeling that precedes and conditions tumor microenvironment (TME) barriers.The review proposes a multi-layered framework connecting systemic obesity-driven signals (e.g., insulin–IGF axis, leptin–PD-1 signaling, aromatase expression, histone lactylation) with local TME execution modules (perfusion, ECM, immune exhaustion).

Obesity drives tumorigenesis through coordinated metabolic, hormonal, and inflammatory remodeling that precedes and conditions tumor microenvironment (TME) barriers.

The review proposes a multi-layered framework connecting systemic obesity-driven signals (e.g., insulin–IGF axis, leptin–PD-1 signaling, aromatase expression, histone lactylation) with local TME execution modules (perfusion, ECM, immune exhaustion).

What are the implications of the main findings?
Conventional metrics like BMI are insufficient to capture cancer-relevant obesity exposures. Markers such as leptin/adiponectin ratio, histone lactylation, or checkpointIntegrating metabolic intervention (e.g., GLP-1-based agents) with immunotherapy may unlock new combination strategies by reversing pseudo-exhaustion and modifying checkpoint sensitivity.

Conventional metrics like BMI are insufficient to capture cancer-relevant obesity exposures. Markers such as leptin/adiponectin ratio, histone lactylation, or checkpoint

Integrating metabolic intervention (e.g., GLP-1-based agents) with immunotherapy may unlock new combination strategies by reversing pseudo-exhaustion and modifying checkpoint sensitivity.

With the global rise in overweight and obesity, excess adiposity has emerged as a modifiable carcinogenic exposure. Beyond energy surplus, obesity establishes a durable pro-tumorigenic baseline through endocrine–metabolic rewiring, chronic low-grade inflammation, and structural/mechanical remodeling of tissues, thereby shaping organ-specific microenvironments that favor malignant transformation and progression. This review integrates systemic metabolic and endocrine alterations with tumor microenvironmental physical barriers, immune reprogramming, and neuroimmune regulation to explain heterogeneity in cancer risk, progression, and treatment response. We propose a stratified assessment framework based on measurable indicators—body composition, inflammatory status, and treatment exposure—to support risk prediction, mechanistic validation, and the design of actionable experimental and clinical strategies.

## Linked entities

- **Proteins:** PIN (insulin precursor), IGF1 (insulin like growth factor 1), lepa (leptin a), PDCD1 (programmed cell death 1), Cyp19a1 (cytochrome P450, family 19, subfamily a, polypeptide 1)
- **Chemicals:** GLP-1 (PubChem CID 16133831)
- **Diseases:** cancer (MONDO:0004992), obesity (MONDO:0011122)

## Full-text entities

- **Genes:** STING1 (stimulator of interferon response cGAMP interactor 1) [NCBI Gene 340061] {aka ERIS, MITA, MPYS, NET23, SAVI, STING}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 397157] {aka VEGF}, TREM2 (triggering receptor expressed on myeloid cells 2) [NCBI Gene 54209] {aka AD17, PLOSL2, TREM-2, Trem2a, Trem2b, Trem2c}, IL17RA (interleukin 17 receptor A) [NCBI Gene 23765] {aka CANDF5, CD217, CDw217, IL-17RA, IL17R, IMD51}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, ULK1 (unc-51 like autophagy activating kinase 1) [NCBI Gene 8408] {aka ATG1, ATG1A, UNC51, Unc51.1, hATG1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845] {aka 'C-K-RAS, C-K-RAS, CFC2, K-RAS2A, K-RAS2B, K-RAS4A}, Bfar (bifunctional apoptosis regulator) [NCBI Gene 67118] {aka 3010001A07Rik, 3110001I22Rik, Bar, Rnf47}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, SYP (synaptophysin) [NCBI Gene 6855] {aka MRX96, MRXSYP, XLID96}, Cd274 (CD274 antigen) [NCBI Gene 60533] {aka A530045L16Rik, B7h1, Pdcd1l1, Pdcd1lg1, Pdl1}, TAFAZZIN (tafazzin, phospholipid-lysophospholipid transacylase) [NCBI Gene 6901] {aka BTHS, CMD3A, EFE, EFE2, G4.5, LVNCX}, Ctbp1 (C-terminal binding protein 1) [NCBI Gene 13016] {aka BARS, CtBP3/BARS, D4S115h, D5H4S115, D5H4S115E}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 733648], ANKRD1 (ankyrin repeat domain 1) [NCBI Gene 27063] {aka ALRP, C-193, CARP, CVARP, MCARP, bA320F15.2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, LOX (lysyl oxidase) [NCBI Gene 4015] {aka AAT10}, GPX4 (glutathione peroxidase 4) [NCBI Gene 2879] {aka GPx-4, GSHPx-4, MCSP, PHGPx, SMDS, snGPx}, PRF1 (perforin 1) [NCBI Gene 5551] {aka HPLH2, P1, PFP}, CELF1 (CUGBP Elav-like family member 1) [NCBI Gene 10658] {aka BRUNOL2, CUG-BP, CUGBP, CUGBP1, EDEN-BP, NAB50}, LEP (leptin) [NCBI Gene 396832] {aka OB, OBS}, HIF1A (hypoxia inducible factor 1 subunit alpha) [NCBI Gene 3091] {aka HIF-1-alpha, HIF-1A, HIF-1alpha, HIF1, HIF1-ALPHA, MOP1}, MAP1LC3A (microtubule associated protein 1 light chain 3 alpha) [NCBI Gene 84557] {aka ATG8E, LC3, LC3A, MAP1ALC3, MAP1BLC3}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, GCGR (glucagon receptor) [NCBI Gene 2642] {aka GGR, GL-R, MVAH}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, CCN2 (cellular communication network factor 2) [NCBI Gene 1490] {aka CTGF, HCS24, IBP-8, IGFBP8, KMD, NOV2}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, SQSTM1 (sequestosome 1) [NCBI Gene 8878] {aka A170, DMRV, EBIAP, FTDALS3, NADGP, OSIL}, LDHA (lactate dehydrogenase A) [NCBI Gene 3939] {aka GSD11, HEL-S-133P, LDHM, PIG19}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, DLG4 (discs large MAGUK scaffold protein 4) [NCBI Gene 1742] {aka MRD62, PSD95, SAP-90, SAP90}, LMNA (lamin A/C) [NCBI Gene 4000] {aka CDCD1, CDDC, CMD1A, CMT2B1, EMD2, FPL}, PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, EP300 (EP300 lysine acetyltransferase) [NCBI Gene 2033] {aka KAT3B, MKHK2, RSTS2, p300}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, BMAL1 (basic helix-loop-helix ARNT like 1) [NCBI Gene 406] {aka ARNTL, ARNTL1, BMAL1c, JAP3, MOP3, PASD3}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, CLOCK (clock circadian regulator) [NCBI Gene 9575] {aka KAT13D, bHLHe8}, ACSL4 (acyl-CoA synthetase long chain family member 4) [NCBI Gene 2182] {aka ACS4, FACL4, LACS4, MRX63, MRX68, XLID63}, RHOA (ras homolog family member A) [NCBI Gene 387] {aka ARH12, ARHA, EDFAOB, RHO12, RHOH12}, LEPR (leptin receptor) [NCBI Gene 3953] {aka CD295, LEP-R, LEPRD, OB-R, OBR, huB219}, ELANE (elastase, neutrophil expressed) [NCBI Gene 1991] {aka ELA2, GE, HLE, HNE, NE, PMN-E}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, IGF1R (insulin like growth factor 1 receptor) [NCBI Gene 3480] {aka CD221, IGFIR, IGFR, JTK13}, GZMB (granzyme B) [NCBI Gene 3002] {aka C11, CCPI, CGL-1, CGL1, CSP-B, CSPB}, TRBV20OR9-2 (T cell receptor beta variable 20/OR9-2 (non-functional)) [NCBI Gene 6962] {aka CDR3, TCRBV20S2, TCRBV2O, TCRBV2S2O}, PRKAB1 (protein kinase AMP-activated non-catalytic subunit beta 1) [NCBI Gene 5564] {aka AMPK, HAMPKb}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, CDH1 (cadherin 1) [NCBI Gene 999] {aka Arc-1, BCDS1, CD324, CDHE, ECAD, LCAM}, PTK2 (protein tyrosine kinase 2) [NCBI Gene 5747] {aka FADK, FADK 1, FAK, FAK1, FRNK, PPP1R71}, MPO (myeloperoxidase) [NCBI Gene 4353], CYP19A1 (cytochrome P450 family 19 subfamily A member 1) [NCBI Gene 1588] {aka ARO, ARO1, CPV1, CYAR, CYP19, CYPXIX}
- **Diseases:** Metastasis (MESH:D009362), sarcopenia (MESH:D055948), Hyperinsulinemia (MESH:D006946), nervous system tumors (MESH:D009423), type 2 diabetic (MESH:D003924), Obesity (MESH:D009765), NAFLD (MESH:D065626), Carcinogenesis (MESH:D063646), rhythm disorder (MESH:D021081), pancreatic ductal adenocarcinoma (MESH:D021441), insulin resistance (MESH:D007333), NETs (MESH:C536657), carcinogenic toxin (MESH:D065766), injury to (MESH:D014947), TLS (MESH:D000072717), endometrial cancer (MESH:D016889), endotoxin (MESH:D012772), colorectal and pancreatic cancers (MESH:D015179), T-cell dysfunction (MESH:C536780), medullary thyroid carcinoma (MESH:C536914), chronic obstructive pulmonary disease (MESH:D029424), cachexia (MESH:D002100), pancreatic cancer (MESH:D010190), NSCLC (MESH:D002289), dysbiosis (MESH:D064806), kidney cancer (MESH:D007680), metabolic insufficiency (MESH:D000309), cytotoxic (MESH:D064420), HCC (MESH:D006528), tumorigenic (MESH:D002471), lipid metabolism disorders (MESH:D052439), overweight (MESH:D050177), hypoxia (MESH:D000860), Cancer (MESH:D009369), Weight Loss (MESH:D015431), metabolic endotoxemia (MESH:D019446), Fibrosis (MESH:D005355), hypoadiponectinemia (MESH:C567258), endometrial, ovarian, and meningioma cancers (MESH:D008579), sleep deprivation (MESH:D012892), fat (MESH:D004620), gliomas (MESH:D005910), weight gain (MESH:D015430), melanoma (MESH:D008545), metabolic abnormalities (MESH:D008659), carcinogenic (MESH:D011230), Inflammation (MESH:D007249), fatty liver (MESH:D005234), adipose neuropathy (MESH:D018205), Brain metastases (MESH:D001932), adipocyte hypertrophy (MESH:D006984), hypoxic (MESH:D002534), breast cancer (MESH:D001943), hyperglycemia (MESH:D006943), renal cell carcinoma (MESH:D002292)
- **Chemicals:** oxygen (MESH:D010100), Lactate (MESH:D019344), fatty acid (MESH:D005227), colibactin (MESH:C569566), catecholamine (MESH:D002395), letrozole (MESH:D000077289), deoxycholic acid (MESH:D003840), DCA (-), fat (MESH:D005223), NE (MESH:D009638), Lipid (MESH:D008055), mazdutide (MESH:C000719829), GSH (MESH:D005978), bile acid (MESH:D001647), lysine (MESH:D008239), PUFA (MESH:D005231), ROS (MESH:D017382), short-chain fatty acid (MESH:D005232), FFAs (MESH:D005230), Butyrate (MESH:D002087), glucose (MESH:D005947), pyruvate (MESH:D019289), metformin (MESH:D008687), lactoyl-CoA (MESH:C047009), tamoxifen (MESH:D013629), Steroid (MESH:D013256), LPS (MESH:D008070)
- **Species:** gut metagenome (species) [taxon 749906], Mus musculus (house mouse, species) [taxon 10090], Akkermansia muciniphila (species) [taxon 239935], Homo sapiens (human, species) [taxon 9606], Fusobacterium nucleatum (species) [taxon 851], Bacteroides fragilis (species) [taxon 817], Escherichia coli (E. coli, species) [taxon 562]

## Full text

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## Figures

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## References

228 references — full list in the complete paper: https://tomesphere.com/paper/PMC13028444/full.md

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Source: https://tomesphere.com/paper/PMC13028444