Submitted:
17 April 2025
Posted:
21 April 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Pathophysiological Overlap Between Sepsis and Cancer and Therapeutic Implications
2.1. Cytokine Storm in Sepsis
2.2. Cytokines in Cancer
3. Immunosuppression in Sepsis and Cancer and Therapeutic Implications
3.1. Immune Paralysis in Sepsis
3.2. Immunosuppression in Cancer
4. Metabolic Alterations
4.1. The Warburg Effect on Cancer
4.2. Metabolic Shifts in Sepsis
4.3. Shared Metabolic Pathways and Therapeutic Implications
4.4. Glutamine Metabolism
4.5. Lipid Metabolism
6. Clinical Implications of the Sepsis-Cancer Connection
6.1. Impact of Sepsis on Tumor Microenvironment
6.2. Inflammatory Cytokines and Reactive Oxygen Species (ROS)
7. Long-Term Consequences of Sepsis in Cancer Patients
8. Therapeutic Opportunities
9. Conclusion
Author Contributions
Funding
Conflicts of Interest
References
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| Cytokine | Role in Sepsis | Role in Cancer |
| TNF-α | - Early pro-inflammatory mediator. - Promotes inflammation, endothelial activation, and organ dysfunction. |
- Promotes tumor progression, angiogenesis, and metastasis. - Can induce tumor cell death in high concentrations. |
| IL-1β | - Induces fever, vasodilation, and immune cell recruitment. - Contributes to tissue damage. |
- Promotes tumor growth, angiogenesis, and metastasis. - Enhances immunosuppressive microenvironment. |
| IL-6 | - Key mediator of acute-phase response. - Correlates with severity and mortality. |
- Promotes tumor growth, survival, and metastasis. - Drives chronic inflammation and immune evasion. |
| IL-8 (CXCL8) | - Chemoattractant for neutrophils. - Contributes to tissue injury. |
- Promotes angiogenesis, tumor growth, and metastasis. - Attracts immunosuppressive cells to the tumor microenvironment. |
| IL-10 | - Anti-inflammatory cytokine. - Suppresses pro-inflammatory responses. - Can lead to immunosuppression. |
- Promotes immune evasion by suppressing anti-tumor immunity. - Enhances tumor progression. |
| IL-17 | - Produced by Th17 cells. - Promotes neutrophil recruitment and inflammation. |
- Promotes tumor growth, angiogenesis, and metastasis. - Contributes to chronic inflammation. |
| IL-23 | - Promotes Th17 cell differentiation and IL-17 production. - Amplifies inflammation. |
- Promotes tumor growth and immune evasion. - Enhances chronic inflammation. |
| IFN-γ | - Activates macrophages and enhances pro-inflammatory responses. - Contributes to tissue damage. |
- Can have anti-tumor effects by activating immune cells. - May promote tumor immune evasion in chronic settings. |
| TGF-β | - Anti-inflammatory cytokine. - Promotes tissue repair and immunosuppression. |
- Promotes tumor progression, immune evasion, and metastasis. - Induces epithelial-mesenchymal transition (EMT). |
| VEGF | - Promotes vascular permeability and endothelial dysfunction. | - Drives angiogenesis, supporting tumor growth and metastasis. |
| HMGB1 | - Late-phase mediator of sepsis. - Sustains inflammation and organ damage. |
- Promotes tumor growth, metastasis, and immune evasion. - Acts as a damage-associated molecular pattern (DAMP). |
| PD-1/PD-L1 | - Contributes to T-cell exhaustion and immunosuppression in sepsis. | - Key immune checkpoint in cancer. - Promotes immune evasion and tumor progression. |
| G-CSF | - Stimulates neutrophil production and mobilization. | - Promotes tumor growth and metastasis. - Enhances myeloid-derived suppressor cells (MDSCs). |
| MCP-1 (CCL2) | - Recruits monocytes and macrophages to sites of inflammation. | - Recruits tumor-associated macrophages (TAMs), promoting tumor progression and immune evasion. |
| Aspect | Sepsis | Cancer | Clinical Implications |
| Glucose Metabolism | - Hyperglycemia: Insulin resistance and increased gluconeogenesis. - Warburg Effect: Increased glycolysis. |
- Warburg Effect: Aerobic glycolysis for rapid ATP production. - Increased Glucose Uptake: Enhanced by GLUT transporters. |
- Targeting Glycolysis: Inhibitors like 2-DG may help in both conditions. - Glucose Control: Tight glucose management improves outcomes in sepsis. |
| Lactate Production | - Lactic Acidosis: Excessive glycolysis leads to lactate accumulation. | - High Lactate Levels: Lactate contributes to tumor microenvironment acidosis. | - Lactate as a Biomarker: High lactate levels correlate with poor prognosis in both conditions. |
| Lipid Metabolism | - Lipolysis: Increased breakdown of fats for energy. - Hyperlipidemia: Elevated free fatty acids. |
- Lipid Synthesis: Increased de novo lipogenesis. - Fatty Acid Oxidation: Some cancers rely on fatty acids for energy. |
- Lipid-Targeting Therapies: Inhibitors of lipogenesis (e.g., FASN inhibitors) are explored in cancer. |
| Protein Metabolism | - Protein Catabolism: Muscle breakdown for gluconeogenesis. - Negative Nitrogen Balance. |
- Increased Protein Synthesis: Supports cell proliferation. - Amino Acid Dependency: Reliance on glutamine. |
- Nutritional Support: Glutamine supplementation may benefit both conditions. |
| Glutamine Metabolism | - Glutamine Utilization: Supports immune cell function and energy production. | - Glutamine Addiction: Used for anaplerosis and nucleotide synthesis. | - Glutaminase Inhibitors: CB-839 is being tested in cancer and may have potential in sepsis. |
| Mitochondrial Dysfunction | - Impaired Oxidative Phosphorylation: Reduced ATP production. - ROS Production: Contributes to tissue damage. |
- Altered Mitochondrial Function: Dysfunction or upregulation depending on cancer type. - ROS Signaling: Promotes tumor growth. |
- Antioxidant Therapies: May help mitigate ROS-induced damage in both conditions. |
| Ketone Body Metabolism | - Increased Ketogenesis: In response to energy demands. | - Ketone Utilization: Some cancers use ketone bodies as an energy source. | - Ketogenic Diets: May benefit cancer patients and potentially sepsis patients. |
| Immune Cell Metabolism | - Metabolic Reprogramming: Immune cells shift to glycolysis. - Immunosuppression: M2 macrophages rely on oxidative metabolism. |
- Tumor-Associated Immune Cells: TAMs and Tregs exhibit metabolic changes supporting tumor growth. | - Immunometabolism Targeting: Modulating immune cell metabolism may improve outcomes. |
| Hypoxia Response | - HIF-1α Activation: Promotes glycolysis and angiogenesis. | - HIF-1α Activation: Drives angiogenesis and tumor progression. | - HIF-1α Inhibitors: Potential therapeutic target in both conditions. |
| Insulin Resistance | - Peripheral Insulin Resistance: Reduces glucose uptake in muscle and adipose tissue. | - Altered Insulin Signaling: Some cancers exhibit insulin resistance or upregulate insulin/IGF-1 signaling. | - Insulin Sensitizers: May improve outcomes in sepsis and certain cancers. |
| Acidosis | - Metabolic Acidosis: Due to lactate accumulation and impaired renal function. | - Tumor Microenvironment Acidosis: Results from high lactate production. | - pH Modulation: Alkalinizing agents may help mitigate acidosis in both conditions. |
| Energy Demand | - Increased Energy Demand: To support hypermetabolic state and immune responses. | - Increased Energy Demand: To support rapid cell proliferation and tumor growth. | - Nutritional Support: High-calorie diets may benefit patients in both conditions. |
| Drug Name | Cancer Indication | Sepsis Application |
| Irinotecan | Ovarian, small cell lung, cervical cancer | Bacterial-induced sepsis models [82] |
| Topotecan | Ovarian, small cell lung, cervical cancer | LPS and S. aureus infection models [82] |
| Olaparib | Ovarian, breast, prostate, pancreatic cancer | CLP and LPS sepsis models [82] |
| Trametinib | Melanoma | CLP and LPS sepsis models [82] |
| SCH772984 | Melanoma, colon cancer | CLP and LPS sepsis models [82] |
| Ceritinib | Non-small-cell lung cancer | CLP and LPS sepsis models [82] |
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