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March 15, 2026iMeta0 citationsOpen Access

Microbial metabolites in tumor epigenetic regulation

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WZWangzheqi ZhangHZH Q ZhangYLYan Liao

Key Points

  • This research explores how microbial metabolites regulate tumor epigenetics and contribute to cancer progression.
  • Review of current literature on microbial metabolites and their role in tumor epigenetic regulation.
  • Analysis of mechanisms involved in the interaction between the human microbiome and tumor epigenetics.
  • Assessment of methodological challenges in data integration across multi-omics.
  • Microbial metabolites act as epigenetic modulators influencing tumor suppressor genes and tumor progression.
  • Short-chain fatty acids like butyrate inhibit histone deacetylases, reactivating tumor suppressor genes.
  • Bile acids induce gene silencing via DNA methylation remodeling, impacting the FXR/TGR5 signaling pathway.

Abstract

Abstract With an increasing global cancer burden, the regulatory function of the human microbiome and its metabolites in tumor epigenetics has garnered significant interest. Microbial metabolites are not merely passive byproducts but serve as signaling molecules and epigenetic modulators, contributing to tumor progression through multiple overlapping pathways. Short‐chain fatty acids (SCFAs) such as butyrate directly inhibit histone deacetylases to reactivate tumor suppressor genes, while secondary bile acids (BAs) induce gene silencing via DNA methylation remodeling by altering the FXR/TGR5 signaling pathway. Folate and vitamin B12 serve as substrates for DNA and histone methylation through one‐carbon metabolism. A complex bidirectional feedback loop exists between microbial metabolism and tumor epigenetics: reprogramming driven by hypoxia or oncogenes alters metabolite flux, generating molecules such as lactate and succinate that not only remodel chromatin and the tumor microenvironment (TME) but also selectively promote the growth of metabolically adapted microbial species, thereby reinforcing epigenetic dysregulation. Despite growing mechanistic insights, establishing causality and correlating spatiotemporal dynamics and dose responses within the highly heterogeneous TME remain major challenges. Data integration across multi‐omics remains limited by methodological and computational constraints. Resolving these issues will be critical for understanding the microbe–metabolite–epigenetic axis and advancing personalized precision oncology.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69b5ff4f83145bc643d1b8a1https://doi.org/10.1002/imt2.70115
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