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Dietary Fiber and Melanoma: Exploring Microbiome-Driven Immune Modulation
Laci Turner1, Connor K Sisk1, Nabiha Yusuf2
1Heersink School of Medicine, University of Alabama at Birmingham, 1670 University Blvd, Birmingham, AL 35233, USA.
Dietary fiber intake may enhance melanoma immunotherapy by modulating the gut microbiome. Fiber-rich diets and specific gut bacteria are linked to better responses to immune checkpoint inhibitors and improved survival.
Area of Science:
- Oncology
- Immunology
- Microbiome Research
Background:
- The gut microbiome significantly impacts melanoma development and response to immune checkpoint inhibitors (ICIs).
- Dietary fiber is a crucial modifiable factor influencing gut microbial composition and metabolite production.
- Understanding fiber's role is key to optimizing melanoma treatment outcomes.
Purpose of the Study:
- To review mechanistic, preclinical, and clinical evidence on how dietary fiber affects melanoma immunity and treatment.
- To explore the impact of fiber-rich diets and specific gut bacteria on melanoma immunotherapy.
- To identify potential fiber-based interventions for melanoma patients.
Main Methods:
- A comprehensive literature search was conducted across MEDLINE, Embase, and Scopus for studies within the last five years.
- 491 unique records were screened, and 49 relevant peer-reviewed studies were qualitatively synthesized.
- The review included mechanistic, preclinical, observational, and interventional research.
Main Results:
- Fiber fermentation yields short-chain fatty acids that regulate immune cell function and cytokine signaling.
- Preclinical models show fiber enhances anti-tumor immunity and ICI efficacy in a microbiota-dependent way.
- In humans, fiber intake and specific bacteria (e.g., Bifidobacterium, Faecalibacterium, Akkermansia) correlate with better ICI response, longer survival, and reduced colitis.
Conclusions:
- Dietary fiber shows promise as a safe adjunct therapy for melanoma immunotherapy.
- Further controlled trials are necessary to establish causality and optimize fiber interventions due to study variability and conflicting data.
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