The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis
Abstract
1. Introduction
2. Diet and Cancer Prevention
3. Nutritional Mechanisms in Cancer Progression
3.1. Metabolic Reprogramming and Dietary Factors
3.2. Inflammation, Oxidative Stress, and Immune Modulation

3.3. Gut Microbiota and Dietary Interactions
4. Dietary Management During Cancer Therapy
4.1. Nutritional Support During Chemotherapy and Radiotherapy
4.2. Protein–Energy Balance and Cachexia Prevention
| Clinical Focus Area | Recommended Energy Intake (kcal/kg/day) | Recommended Protein Intake (g/kg/day) | Key Nutrients/Functional Components | References |
|---|---|---|---|---|
| Overall Nutritional Goals During Active Cancer Treatment | 25–35 (adjusted to metabolic stress, inflammation, and treatment stage) | 1.0–1.2 | Essential micronutrients (A, C, D, E, selenium, zinc), balanced macronutrients, adequate fluids | [117,126] |
| Chemotherapy-Induced Nutritional Challenges | 25–35 | 1.2–1.5 | Vitamin D, zinc, selenium, glutamine, electrolytes | [133] |
| Radiotherapy-Induced Mucosal and GI Damage | 25–35 | 1.2–1.5 | Glutamine, omega-3 fatty acids, vitamin D, probiotics | [134] |
| Cancer Cachexia and Muscle Wasting Prevention | 30–35 (may increase up to 40 kcal/kg/day in severe catabolic states) | 1.5–2.0 | EPA (omega-3), high-quality proteins (egg, fish, poultry, dairy, soy), complex carbohydrates, monounsaturated fats | [135] |
| Management of Anorexia and Reduced Appetite | 35–40 from energy-dense foods | 1.2–1.5 | High-calorie supplements, dairy proteins, nut butters, omega-3s | [136] |
| Taste Alterations (Dysgeusia) | 25–30 | 1.0–1.2 | Zinc, citrus-free flavonoid-rich foods | [137] |
| Nausea and Vomiting Management | 25–30 depending on tolerance | 1.0–1.2 | Ginger, B-vitamins, hydration, electrolyte solutions | [138] |
| Diarrhea and GI Toxicity Management | 25–30 | 1.0–1.2 | Probiotics, soluble fiber (pectin), zinc, ORS solutions | [139] |
| Constipation (Often Opioid-Induced) | 25–30 | 1.0–1.2 | Insoluble fiber, magnesium, hydration | [140] |
| Bone Health in Hormone or Steroid Therapy | 25–30 | 1.0–1.2 | Vitamin D, calcium, magnesium, vitamin K2 | [141] |
| Immune System Strengthening | 25–35 | 1.2–1.5 | Vitamin C, zinc, selenium, probiotics, omega-3 fatty acids | [142] |
4.3. Functional Foods and Supplements in Treatment Outcomes
5. Diet and Prognosis in Long-Term Cancer Management
6. Epigenetic Regulation Through Diet
7. Gut–Brain–Immune Axis and Nutritional Modulation
7.1. Microbiota–Immune System Interactions and Metabolic Communication
7.2. Gut–Brain Communication, Neuroimmune Regulation, and Nutritional Influence
7.3. Therapeutic Modulation of the Gut–Brain–Immune Axis Through Nutritional Interventions
8. AI and Digital Innovation in Oncology Nutrition
9. Emerging Trends and Future Directions
10. Conclusions
- Chronic malignancy requires long-term, systemic management integrating metabolic, inflammatory, and immune considerations.
- Dietary patterns rich in fiber, plant bioactives, and omega-3 fatty acids are consistently associated with improved metabolic and inflammatory profiles in cancer contexts.
- Evidence supports nutritional modulation of tumor metabolism and the gut–immune axis, although much remains preclinical or observational.
- Nutrition should be viewed as a low-toxicity adjunct to standard oncology care, not a standalone anticancer therapy.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| WHO | World Health Organization |
| COX-2 | Cyclooxygenase-2 inhibitor |
| ROS | Reactive oxygen species |
| IGF-1 | Insulin-like growth factor-1 |
| NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| PI3K/Akt/mTOR | Phosphatidylinositol-3-kinase/mechanistic target of rapamycin |
| EGCG | Epigallocatechin Gallate |
| RAS/MAPK | Rat sarcoma/Mitogen-activated protein kinases |
| EPA | Eicosapentaenoic acid |
| DHA | Docosahexaenoic acid |
| VDR | Vitamin D Receptor |
| SOD | Superoxide dismutase |
| GPx | Glutathione peroxidase |
| NK | Natural killer |
| GALT | Gut-associated lymphoid tissue |
| SCFAs | Short-chain fatty acids |
| HDAC | Histone deacetylase |
| LPS | Lipopolysaccharides |
| PD-L1 | Programmed death-ligand 1 |
| IL-6 | Interleukin-6 |
| TNF | Tumor necrosis factor alpha |
| IL-1 | Interleukin 1 beta |
| STAT-3 | Signal transducer and activator of transcription 3 |
| BCAAs | Branched-chain amino acids |
| TLR-4 | Toll-like receptor 4 |
| DNMTs | DNA methyltransferases |
| BRCA-1 | Breast cancer type 1 |
| HATs | Histone acetyltransferases |
| miRNAs | MicroRNAs |
| CBP | CREB-binding protein |
| EMT | Epithelial–mesenchymal transition |
| MAMPs | Microbial-associated molecular patterns |
| CD8+ | Cluster of differentiation 8 plus |
| GABA | γ-aminobutyric acid |
| FMT | Fecal microbiota transplantation |
| AI | Artificial intelligence |
| EHR | Electronic health record |
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| Dietary Component | Main Sources | Mechanism of Action | Associated Cancer Effects/Findings | References |
|---|---|---|---|---|
| Plant-Based Foods and Antioxidants | Fruits, vegetables, legumes, whole grains, nuts, seeds | Rich in antioxidants and phytochemicals that neutralize ROS, protect DNA, regulate detox enzymes, and suppress inflammation | Lower risk of breast, colorectal, and prostate cancers; improved cellular repair and immune response | [53,54] |
| Dietary Fiber | Whole grains, legumes, vegetables, fruits | Promotes gut microbiota diversity and short-chain fatty acid (butyrate) production; reduces inflammation and enhances immune defense | Decreased risk of colorectal and gastric cancers; improved gut health | [55,56] |
| Healthy Fats (Omega-3 Fatty Acids) | Fish, flaxseed, chia seeds, walnuts | Anti-inflammatory and anti-proliferative effects; regulate eicosanoid synthesis and suppress angiogenesis | Reduced risk of breast, prostate, and colon cancers; improved metabolic balance | [57,58] |
| Unhealthy Fats (Saturated and Trans Fats) | Red meat, butter, processed and fried foods | Promote oxidative stress, inflammation, and insulin resistance | Increased risk of colorectal, pancreatic, and endometrial cancers | [59] |
| Refined Sugars and High-Glycemic Foods | White bread, sugary beverages, sweets | Elevate insulin and IGF-1 levels; stimulate abnormal cell growth and reduce apoptosis | Higher incidence of colorectal, pancreatic, and breast cancers | [60] |
| Micronutrients (Vitamins and Minerals) | Vitamin A (carrots), C (citrus), D (sunlight/fish), E (nuts), selenium (grains), zinc (legumes) | Support DNA repair, immune modulation, and antioxidant defense | Deficiencies linked with higher risk of breast, colorectal, and prostate cancers | [61] |
| Bioactive Compounds (Phytochemicals) | Curcumin (turmeric), resveratrol (grapes), EGCG (green tea), lycopene (tomatoes) | Regulate NF-κB, p53, and PI3K/Akt pathways; inhibit inflammation, angiogenesis, and metastasis | Chemopreventive action against multiple cancer types; enhanced apoptosis and reduced tumor growth | [51,62] |
| Probiotics and Prebiotics | Yogurt, kefir, fermented vegetables, fiber-rich foods | Balance gut microbiota, enhance detoxification, and strengthen mucosal barriers | Reduced colon inflammation and cancer-promoting bacterial metabolites | [63,64,65] |
| Tumor Type | Molecular/ Pathological Feature | Metabolic Dependency/ Vulnerability | Potential Dietary Strategy (Mechanism-Linked) | Clinical Evidence Level | Reference |
|---|---|---|---|---|---|
| Breast cancer (ER+/PR+) | Hormone receptor-positive tumors often associated with hyperinsulinemia/IGF-1 signaling relevance | Growth signaling via insulin/IGF-1 pathways (PI3K/Akt/mTOR) is a plausible co-driver | Low-glycemic Mediterranean-style diet (reduce postprandial insulin/IGF-1; improve metabolic milieu) | Moderate (human metabolic rationale + trials in progress/biomarker-focused designs; strong epidemiology for glycemic load associations) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC5259892/?utm_source=chatgpt.com, accessed on 5 January 2026)) | [80] |
| Breast cancer (TNBC) | Often more glycolytic and metabolically aggressive; potential chemo-sensitization window | Greater reliance on glucose flux and metabolic plasticity | Low-carb/ketogenic approaches (cautious positioning) as metabolic stressor; omega-3 (EPA/DHA) as adjuvant to modulate metabolism/inflammation and potentially chemo-sensitize | Emerging (clinical evidence limited; mechanistic + early-phase signals; omega-3 supportive evidence stronger than keto) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC10052714/?utm_source=chatgpt.com, accessed on 6 January 2026)) | [81] |
| Breast cancer (HER2+) | HER2 signaling linked to metabolic flexibility and inflammation-related pathways | Lipid signaling + inflammatory mediators may influence tumor biology and therapy response | Omega-3 (EPA/DHA) to shift inflammatory lipid mediators (resolvins; COX-related signaling) and explore subtype-specific biomarkers | Emerging–moderate (biomarker-driven clinical trials exist; clinical endpoints not yet definitive) (prevention.cancer.gov (https://prevention.cancer.gov/clinical-trials/clinical-trials-search/nct02295059?utm_source=chatgpt.com, accessed on 6 January 2026)) | [82] |
| Colorectal cancer (MSI-high vs. MSS) | MSI-high CRC can show glycolysis-linked immune effects; immune microenvironment is central | Tumor-intrinsic glycolysis may contribute to immune evasion/therapy resistance phenotypes | Low-glycemic load/metabolic targeting dietary patterns as adjunct concept (framed as hypothesis-supporting), potentially synergistic with immunotherapy strategies | Emerging (strong molecular evidence; dietary intervention outcomes by MSI status still limited) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC12452990/?utm_source=chatgpt.com, accessed on 6 January 2026)) | [83] |
| CRC (Fusobacterium nucleatum–enriched tumors) | F. nucleatum enrichment across adenoma–carcinoma sequence; linked with CRC biology and outcomes | Microbiome-driven inflammation and metabolite shifts impacting tumor–immune axis | Fiber-rich + probiotic/synbiotic strategies to reshape microbiota and reduce pro-tumor dysbiosis | Moderate (strong human association + plausible intervention direction; still needs stratified RCTs by F. nucleatum status) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC12525060/?utm_source=chatgpt.com, accessed on 7 January 2026)) | [84] |
| CRC (butyrate sensitivity; stage-context) | Butyrate is an HDAC inhibitor; cancer cells show altered butyrate handling/oxidation | SCFA signaling + epigenetic modulation; altered metabolism in cancerous colonocytes | High-fiber diet/targeted prebiotic–probiotic approaches to increase butyrate production; consider stage/biology nuance in discussion | Moderate (mechanism is strong; human intervention endpoints are still developing) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC6007476/?utm_source=chatgpt.com, accessed on 7 January 2026)) | [85] |
| Prostate cancer (androgen-sensitive/ADT-associated phenotype) | ADT commonly worsens insulin resistance, adiposity, cardiometabolic risk | Systemic metabolic dysfunction can worsen inflammation and overall resilience | Mediterranean/“healthy dietary pattern” + weight management to mitigate ADT metabolic toxicity (support survivorship outcomes) | Moderate (human evidence supports improving metabolic abnormalities in ADT populations) (PMC (https://pmc.ncbi.nlm.nih.gov/articles/PMC9611951/?utm_source=chatgpt.com, accessed on 7 January 2026)) | [86] |
| Prostate cancer (inflammatory microenvironment) | Inflammation and lipid mediators (COX-related) implicated in tumor biology | Eicosanoid balance and inflammation resolution pathways | Omega-3 supplementation (EPA-focused) to shift inflammatory mediators; explore proliferation endpoints pre-surgery | Moderate (clinical) (randomized pre-prostatectomy trial evidence exists for biological endpoints) (Nature (https://www.nature.com/articles/s43856-024-00456-4?utm_source=chatgpt.com, accessed on 8 January 2026)) | [87] |
| Glioblastoma | High glycolytic dependency (classic Warburg-like phenotype); limited metabolic flexibility in many cases | Glucose reliance → potential vulnerability to ketosis-mediated substrate restriction | Ketogenic diet as adjunct (positioned as feasibility/safety + hypothesis for efficacy; avoid overclaiming) | Emerging (phase I feasibility/safety published; efficacy trials still needed) (Nature (https://www.nature.com/articles/s41598-025-06675-6?utm_source=chatgpt.com, accessed on 8 January 2026)) | [88] |
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Hayat, S.; Ahmad, J.; Naeem, S.; Yaseen, F.; Aamir, S.; Guida, F.; Luongo, L.; Maione, S. The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis. Nutrients 2026, 18, 881. https://doi.org/10.3390/nu18060881
Hayat S, Ahmad J, Naeem S, Yaseen F, Aamir S, Guida F, Luongo L, Maione S. The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis. Nutrients. 2026; 18(6):881. https://doi.org/10.3390/nu18060881
Chicago/Turabian StyleHayat, Shubana, Junaid Ahmad, Sara Naeem, Faiza Yaseen, Sania Aamir, Francesca Guida, Livio Luongo, and Sabatino Maione. 2026. "The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis" Nutrients 18, no. 6: 881. https://doi.org/10.3390/nu18060881
APA StyleHayat, S., Ahmad, J., Naeem, S., Yaseen, F., Aamir, S., Guida, F., Luongo, L., & Maione, S. (2026). The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis. Nutrients, 18(6), 881. https://doi.org/10.3390/nu18060881

