What Does Bacteria Have to Do with Cancer? The Influence of the Body’s Microbiota on Cancer in Cats and Dogs
Abstract
1. Introduction
2. Bacteria as a Risk Factor for Cancer
2.1. Mechanisms of Bacteria-Induced Carcinogenesis
| Molecular Mechanism | Microbiota Alteration | Key Mediators | Biological Effect | Role in Carcinogenesis | References |
|---|---|---|---|---|---|
| Chronic inflammation | ↑ Proteobacteria; ↓ commensal bacteria | IL-6, TNF-α, NF-κB | Sustained immune activation | Promotion of proliferation and mutagenesis | [45,51,52,53] |
| Loss of intestinal barrier integrity | ↓ SCFA-producing bacteria | Zonulin, LPS | Increased microbial translocation | Persistent stimulation of gut-associated lymphoid tissue (GALT); lymphoma risk | [45,54,55] |
| SCFA depletion | ↓ Faecalibacterium, Blautia | Butyrate, propionate | Reduced anti-inflammatory and antiproliferative signaling | Facilitation of neoplastic transformation | [34,35,43,56] |
| Tryptophan metabolism dysregulation | Gut dysbiosis | Indoles, AhR pathway | Impaired immune tolerance | Immune escape of neoplastic cells | [48,57,58,59] |
| Altered bile acid metabolism | Microbial composition shifts | Deoxycholic acid | Oxidative stress, DNA damage | Mutagenic effects promoting cancer | [58,60,61] |
| Impaired immune surveillance | Microbiota imbalance | Treg/Th17 imbalance | Reduced elimination of atypical cells | Survival and expansion of malignant clones | [51,62,63] |
| Systemic effects of microbial metabolites | Gut dysbiosis | Circulating cytokines and metabolites | Altered TME in distant tissues | Influence on extraintestinal cancers | [55,64,65] |
2.2. Helicobacter and Gastric Carcinogenesis
2.3. Gut Dysbiosis in Gastrointestinal Cancers
2.4. Extraintestinal Cancers and Systemic Effects
2.5. Skin Microbiome and Carcinogenesis
2.6. Gut Dysbiosis and Clinical Outcome During Chemotherapy
3. Oncolytic Bacteria and Bacteriobots in Cancer Therapy
4. Limitations and Challenges
5. Conclusions and Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AhR | Aryl hydrocarbon receptor |
| BCFA | Branched-chain fatty acids |
| CagA protein | Cytotoxin-associated gene A protein |
| CIE | Chronic inflammatory enteropathy |
| DC | Dendritic cell |
| FMT | Fecal microbiota transplantation |
| GALT | Gut-associated lymphoid tissue |
| IARC | International Agency for Research on Cancer |
| IBD | Inflammatory Bowel Disease |
| IFN-γ | Interferon-gamma |
| IL-1β | Interleukin-1 beta |
| IL-2 | Interleukin-2 |
| IL-6 | Interleukin-6 |
| IL-12 | Interleukin-12 |
| LGITL | Low-grade intestinal T-cell lymphoma |
| LPS | Lipopolysaccharide |
| MALT-type | Mucosa-Associated Lymphoid Tissue–type |
| MDSC | Myeloid-Derived Suppressor Cells |
| MHC | Major Histocompatibility Complex |
| NET | Neutrophil Extracellular Trap |
| NF-κB | Nuclear factor-κB |
| NHPH | non-Helicobacter pylori Helicobacters |
| NK cells | Natural Killer cells |
| NOD2 | Nucleotide-binding oligomerization domain 2 |
| OMVs | Outer Membrane Vesicles |
| PAMPs | Pathogen-associated molecular patterns |
| PD-1 | Programmed cell death protein 1 |
| PD-L1 | Programmed Death-Ligand 1 |
| ROS | Reactive Oxygen Species |
| SCC | Squamous Cell Carcinoma |
| SCFAs | Short-chain fatty acids |
| SIRS | Systemic Inflammatory Response Syndrome |
| STING | Stimulator of Interferon Genes |
| TAAs | Tumor-associated antigens |
| Th1 | T helper 1 |
| Th17 | T helper 17 |
| TME | Tumor microenvironment |
| TNF-α | Tumor Necrosis Factor-alpha |
| TLR2 | Toll-like receptor 2 |
| TLR4 | Toll-like receptor 4 |
| TLR5 | Toll-like receptor 5 |
| TLRs | Toll-like receptors |
| Treg | Regulatory T cells |
| VacA toxin | Vacuolating cytotoxin A |
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| (A) Cats | |||||
| Clinical Condition/ Disease Model | Tumor Location | Microbiota Alterations | Observed Clinical Correlations | Pathogenetic Significance | Reference |
| Low-grade intestinal lymphoma | Small intestine | ↓ diversity; ↑ Proteobacteria | Microbiota profile similar to IBD; frequent history of chronic enteropathy | Similar microbiota profiles suggest overlapping pathophysiology with IBD | [76] |
| IBD | Small intestine | Altered Firmicutes/ Bacteroidetes ratio | Subset of patients later developed intestinal lymphoma | Dysbiosis as a potential initiating factor for neoplastic transformation | [25] |
| Intestinal lymphoma (various grades) | Small intestine | Microbiota similar to IBD | Diagnostic overlap; gradual progression | Microbiota as a potential biomarker differentiating inflammation and neoplasia | [76] |
| (B) Dogs | |||||
| Clinical Condition/ Disease Model | Tumor Location | Microbiota Alterations | Observed Clinical Correlations | Pathogenetic Significance | Reference |
| High-grade intestinal lymphoma | Small intestine | Severe dysbiosis; ↑ Enterobacteriaceae | More severe clinical signs and rapid disease progression | Degree of dysbiosis correlates with tumor aggressiveness | [54] |
| Gastrointestinal tumors (various histotypes) | Gastrointestinal tract | Altered gut metabolome; ↓ SCFA levels | Weight loss, hypoalbuminemia | Metabolic TME promoting progression | [78] |
| Multicentric lymphoma | Lymphatic system | Gut dysbiosis despite absence of intestinal tumors | Correlation with systemic inflammatory markers | Systemic immunometabolic effects of gut microbiota | [52] |
| Cancers treated with chemotherapy | Multiple sites | Variable degree of pre-treatment dysbiosis | Better chemotherapy tolerance in dogs with lower dysbiosis | Microbiota as a predictive factor of therapeutic response | [79] |
| Cutaneous tumors with chronic inflammation | Skin | Local skin dysbiosis (case reports) | Persistent local inflammation | Possible local promotion of carcinogenesis | [80] |
| Bacteria | Mechanisms of Direct Oncolysis | Secondary Immune Activation | Oncolytic Outcomes | References |
|---|---|---|---|---|
| Salmonella typhimurium |
|
|
| [108,109,110,111,112,113] |
| Listeria monocytogenes |
|
|
| [114,115,116,117,118,119] |
| Clostridium novyi-NT |
|
|
| [98,120,121,122,123,124] |
| Bacteria | Immune Signaling Pathways | Immunomodulatory Mechanisms | Immune-Mediated Antitumor Effects | References |
|---|---|---|---|---|
| Bifidobacterium |
|
|
| [126,127,128,129,130,131,132,133] |
| Escherichia coli |
|
|
| [134,135,136,137] |
| Mycobacterium bovis (BCG) |
|
|
| [138,139,140,141,142,143,144,145,146,147] |
| Serratia marcescens |
|
|
| [148,149,150,151,152,153] |
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Kasperska, P.; Horodyska, I.; Mateja, J.; Sobierajewicz, A.; Miszczak, M.; Bierowiec, K.; Bubak, J. What Does Bacteria Have to Do with Cancer? The Influence of the Body’s Microbiota on Cancer in Cats and Dogs. Int. J. Mol. Sci. 2026, 27, 5005. https://doi.org/10.3390/ijms27115005
Kasperska P, Horodyska I, Mateja J, Sobierajewicz A, Miszczak M, Bierowiec K, Bubak J. What Does Bacteria Have to Do with Cancer? The Influence of the Body’s Microbiota on Cancer in Cats and Dogs. International Journal of Molecular Sciences. 2026; 27(11):5005. https://doi.org/10.3390/ijms27115005
Chicago/Turabian StyleKasperska, Patrycja, Iga Horodyska, Julia Mateja, Aleksandra Sobierajewicz, Marta Miszczak, Karolina Bierowiec, and Joanna Bubak. 2026. "What Does Bacteria Have to Do with Cancer? The Influence of the Body’s Microbiota on Cancer in Cats and Dogs" International Journal of Molecular Sciences 27, no. 11: 5005. https://doi.org/10.3390/ijms27115005
APA StyleKasperska, P., Horodyska, I., Mateja, J., Sobierajewicz, A., Miszczak, M., Bierowiec, K., & Bubak, J. (2026). What Does Bacteria Have to Do with Cancer? The Influence of the Body’s Microbiota on Cancer in Cats and Dogs. International Journal of Molecular Sciences, 27(11), 5005. https://doi.org/10.3390/ijms27115005

