Abstract

An ever-growing body of evidence has linked the gut microbiome with both the effectiveness and the toxicity of cancer therapies. Radiotherapy is an effective way to treat tumors, although large variations exist among patients in tumor radio-responsiveness and in the incidence and severity of radiotherapy-induced side effects. Relatively little is known about whether and how the microbiome regulates the response to radiotherapy. Gut microbiota may be an important player in modulating “hot” versus “cold” tumor microenvironment, ultimately affecting treatment efficacy. The interaction of the gut microbiome and radiotherapy is a bidirectional function, in that radiotherapy can disrupt the microbiome and those disruptions can influence the effectiveness of the anticancer treatments. Limited data have shown that interactions between the radiation and the microbiome can have positive effects on oncotherapy. On the other hand, exposure to ionizing radiation leads to changes in the gut microbiome that contribute to radiation enteropathy. The gut microbiome can influence radiation-induced gastrointestinal mucositis through two mechanisms including translocation and dysbiosis. We propose that the gut microbiome can be modified to maximize the response to treatment and minimize adverse effects through the use of personalized probiotics, prebiotics, or fecal microbial transplantation. 16S rRNA sequencing is the most commonly used approach to investigate distribution and diversity of gut microbiome between individuals though it only identifies bacteria level other than strain level. The functional gut microbiome can be studied using methods involving metagenomics, metatranscriptomics, metaproteomics, as well as metabolomics. Multiple ‘-omic’ approaches can be applied simultaneously to the same sample to obtain integrated results. That said, challenges and remaining unknowns in the future that persist at this time include the mechanisms by which the gut microbiome affects radiosensitivity, interactions between the gut microbiome and combination treatments, the role of the gut microbiome with regard to predictive and prognostic biomarkers, the need for multi “-omic” approach for in-depth exploration of functional changes and their effects on host-microbiome interactions, and interactions between gut microbiome, microbial metabolites and immune microenvironment.

Highlights

  • Radiotherapy is a core modality used for the treatment of solid tumors [1]; more than 50% of patients with newly diagnosed cancer will receive radiotherapy over the course of the disease [2, 3], 60% with curative intent [4]

  • We further explore the underlying mechanisms by which radiation and the gut microbiome participate in immunomodulation, and discuss potential treatments aimed at modifying the functions of the gut microbiome

  • We summarized approaches to study the gut microbiome

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Summary

Background

Radiotherapy is a core modality used for the treatment of solid tumors [1]; more than 50% of patients with newly diagnosed cancer will receive radiotherapy over the course of the disease [2, 3], 60% with curative intent [4]. Microbiota niche can modify efficacy and toxicity profile of different onco-therapeutic treatment modalities from chemoradiotherapy to immunotherapy Each of these treatment modalities has numerous effects on the gastrointestinal flora, causing changes in the gut microbial community that affects host morbidity and mortality [19]. The gut microbiome has been shown to affect the effectiveness and toxicity of various chemotherapies and immunotherapies through several mechanisms, primarily by modulating immune responses [20]. One group, seeking to explore whether the gut microbiota could modulate antitumor immune response after radiation to non-gut organs, used mouse models of B16-OVA melanoma and TC-1 lung/cervical cancer and found that the antibiotic vancomycin (which acts on gut bacteria) potentiated the radiation-induced antitumor immune response and inhibited tumor growth. Uribe-Herranz et al [34] A melanoma model, a HPV E6/7-expressing lung and cervical cancer model in tumorbearing mice

21 Gy using an XRAD320iX Total body irradiation exposure of 5 Gy
Findings
Gy gamma irradiation
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