The intricate interplay between the human microbiota and the immune system has garnered significant attention in recent years, particularly concerning its implications in cancer biology. Macrophages, pivotal players in the tumor microenvironment (TME), exhibit diverse phenotypes that can either promote tumor progression or inhibit it. This review explores the multifaceted role of the microbiota in modulating macrophage polarization within the TME. We highlight recent findings that demonstrate how specific microbial communities influence macrophage behavior through metabolic pathways, immune signaling, and epigenetic modifications. Furthermore, we discuss the therapeutic potential of manipulating the microbiota to reprogram macrophage phenotypes, thereby enhancing antitumor immunity. By integrating insights from microbiology, immunology, and oncology, this article aims to provide a comprehensive overview of the microbiota’s impact on macrophage dynamics in cancer, paving the way for innovative therapeutic strategies that harness this relationship for improved clinical outcomes.

Introduction: The emergence of cancer immunotherapy has revolutionized cancer treatment, offering remarkable outcomes for patients across various malignancies. However, the heterogeneous response to immunotherapy underscores the necessity of understanding additional factors influencing treatment efficacy. Among these factors, the human microbiota has garnered significant attention for its potential role in modulating immune response. Body: This review explores the intricate relationship between the human microbiota and cancer immunotherapy, highlighting recent advances and potential mechanisms underlying microbial influence on treatment outcomes. Conclusion: Insights into the microbiome’s impact on immunotherapy response not only deepen our understanding of cancer pathogenesis but also hold promise for personalized therapeutic strategies aimed at optimizing patient outcomes.

Purpose: Cancer immunotherapy has transformed oncology, but underserved populations face persistent disparities in access and outcomes. This review explores how artificial intelligence (AI) can help mitigate these barriers. Methods: We conducted a narrative review based on peer-reviewed literature selected for relevance to artificial intelligence, cancer immunotherapy, and healthcare challenges, without restrictions on publication date. We searched three major electronic databases: PubMed, IEEE Xplore, and arXiv, covering both biomedical and computational literature. The search included publications from January 2015 through April 2024 to capture contemporary developments in AI and cancer immunotherapy. Results: AI tools such as machine learning, natural language processing, and predictive analytics can enhance early detection, personalize treatment, and improve clinical trial representation for historically underrepresented populations. Additionally, AI-driven solutions can aid in managing side effects, expanding telehealth, and addressing social determinants of health (SDOH). However, algorithmic bias, privacy concerns, and data diversity remain major challenges. Conclusions: With intentional design and implementation, AI holds the potential to reduce disparities in cancer immunotherapy and promote more inclusive oncology care. Future efforts must focus on ethical deployment, inclusive data collection, and interdisciplinary collaboration.