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Radiotherapy and the gut microbiome: facts and fiction

Radiation Oncology volume 16, Article number: 9 (2021) Cite this article

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.

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]. Although considerable progress has been made in the development of radiotherapy, its main limitations remain its effectiveness and safety. Clinical factors such as tumor size, disease stage, or tumor differentiation account for some of the heterogeneity in response to radiation among patients [5]. Accumulating evidence has also implicated biological factors in the ultimate outcomes of radiation therapy [6, 7], such as intrinsic radioresistance, hypoxia, inflammatory cell infiltration, and host immunity changes in the tumor microenvironment.

Radiotherapy is also associated with toxic side effects that negatively affect patients’ quality of life. Acute toxicities that may affect the patient’s ability to complete a treatment course include mucositis, dermatitis, cystitis, and bone marrow suppression. Chronic toxicities include fibrosis, vascular damage, or atrophy of the affected tissue or organ [4]. However, the incidence and severity of radiotherapy-induced toxicities vary substantially among patients [8]. Among the identified risk factors for developing toxicities are those related to therapy (radiation dose, volume, fraction, and site, and concomitant therapies) and those related to patients (age, sex, smoking, comorbid conditions, and genetic variations) [8, 9].

The gut microbiome can influence both the effectiveness of cancer treatment [10,11,12,13] and the severity of cancer treatment-induced gastrointestinal toxicities [14,15,16,17,18]. Microbiota niche can modify efficacy and toxicity profile of different onco-therapeutic treatment modalities from chemoradiotherapy to immunotherapy. Conversely, 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]. However, little is known about whether and how the gut microbiome modifies the response to radiotherapy [21]. Here we review “facts and fiction” regarding the nature of the interactions between radiotherapy and the gut microbiome. We discuss the potential influence of the gut microbiome on the antitumor effects of radiotherapy and its role in radiotherapy-induced gastrointestinal mucositis. 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 also summarized approaches to study the gut microbiome.

Interplay between the gut microbiome and radiotherapy effectiveness

Gut microbiota may be an important player in modulating “hot” versus “cold” tumor microenvironment, ultimately affecting treatment efficacy [22, 23]. The gut microbiome is known to influence the effectiveness of various therapeutic strategies [24,25,26,27], including surgery, chemotherapy [27], androgen deprivation therapy [28] and immunotherapy [25, 29]. The role of the gut microbiome in radiosensitivity is a new concept that has generated substantial interest, but to date few original studies have had convincing results [21]. Relatively little is known about how the microbiome regulates the response to radiotherapy. What information is available is summarized in the following paragraphs.

Bidirectional effects of radiation and gut microbiome composition

The interaction of the gut microbiome and cancer therapies, including radiation, is a bidirectional function, in that anticancer treatments can disrupt the microbiome (e.g., promoting dysbiosis) and those disruptions can influence the effectiveness of the anticancer treatments (Table 1). Kim et al., in characterizing the mouse gut microbiome, found that radiation causes significant changes in both the abundance and diversity of that microbiome, with increases in Alistipes and decreases in Mucispirillum genera [30]. A clinical study showed that pelvic radiotherapy resulted in remodeling of the overall gut microbiome composition, with a 10% decrease in Firmicutes and a 3% increase in Fusobacterium phyla [16]. A study [31] analyzing 45 fecal samples from patients with rectal cancer before concurrent chemoradation showed Bacteroidales (Bacteroidaceae, Rikenellaceae, Bacteroides) were relatively more abundant in patients with non-complete response (CR) than those with CR. Duodenibacillus massiliensis was linked with the improved CR rate. Generally, the most significant changes in the gut microbiome associated with cytotoxic chemotherapy or radiotherapy are increases in Bacteroides and Enterobacteriaceae and decreases in Bifidobacterium, Faecalibacterium prausnitzii, and Clostridium cluster XIVa [32]. Gut microbes can also shape normal and pathologic immune responses to cancer therapy. One group proposed that gut bacteria modulated the effects of chemotherapy via a host of mechanisms they called ‘TIMER’—that is, Translocation, Immunomodulation, Metabolism, Enzymatic degradation, and Reduced diversity [20]. A recent study [33] showed Higher alpha-diversity in the tumor microbiome of long-term survival patients and identified an intra-tumoral microbiome signature (Pseudoxanthomonas-Streptomyces-Saccharopolyspora-Bacillus clausii) highly predictive of long-term survivorship in both discovery and validation cohorts. Through human-into-mice fecal microbiota transplantation (FMT) experiments from short-term survival, long-term survival, or control donors, the tumor microbiome was differentially modulated, and tumor growth as well as tumor immune infiltration were affected. Logically, then, one could hypothesize that the gut microbiome also influences the immunostimulatory effects of radiotherapy (Fig. 1).

Table 1 Studies investigated interactions between the gut microbiome and radiotherapy effectiveness
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Fig. 1
figure 1

The potential mechanisms of the gut microbiome regulating the response to radiotherapy. Notes: Radiotherapy may reshape tumor microenvironment by microbiome, which involve the unbalance of anti-inflammatory and pro-inflammatory cell and their corresponding cytokines. Oral probiotics, prebiotics, drug interventions and FMT may maintain balance in the gut microbiome and then reshape the tumor microenvironment. Other gut microbiome related mechanisms on regulating the response to radiotherapy include circadian rhythms, FIAF production, autophagy regulation, inflammation, production of SCFAs and butyrate and cancer-associated fibroblasts etc. RT radiotherapy, DC dendritic cells, IL interleukin, NK natural killer cells, TGF tumor growth factor, MDSC myeloid-derived suppressor cells, TNF tumor necrosis factor, IFN interferon, FMT fecal microbial transplant, FIAF fasting-induced adipose factor, SCFA short-chain fatty acids

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Indeed, 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. This synergy depended on cross-presentation of tumor-specific antigens to cytolytic CD8 + T cells and on interferon-γ [34]. This group concluded that depletion of vancomycin-sensitive bacteria enhanced the antitumor activity of radiotherapy. Cui et al. [35] described a correlation between intestinal bacterial composition and radiosensitivity in an antibiotic-treated mouse model. The enteric bacterial composition of treated mice was significantly different from that of control mice, and the survival rate of the antibiotic-treated mice was significantly higher after irradiation.

Potential mechanisms underlying gut microbiome disruptions, immune functions, and radiosensitivity

Evidence from both mouse models [36] and clinical studies [37] suggests an interaction between circadian rhythms, composition of the gut microbiome, and radiation sensitivity. Indeed, one literature review concluded that the time at which radiation was given can affect both local control and toxicity in patients with lung cancer [37].

Another hypothesis involves the link between radioresistance and autophagy regulation [38]. Digomann et al. [39] found that the expression level of some proteins involved in autophagy correlated with the clinical prognosis of patients with head and neck squamous cell carcinoma after chemoradiation [40]. The gut microbiome is also involved in autophagy regulation, and Fusobacterium nucleatum has been shown to have a role in chemoresistance to colorectal cancer by activating autophagy [41]. However, no studies have been published to date on the potential effects of gut microbiome composition on radiosensitivity via modulation of autophagy.

Inflammation may also have a role in the sensitivity or resistance of tumors to radiation. A component of the tumor microenvironment, cancer-associated fibroblasts, are involved not only in tumor initiation, progression, metastasis, and angiogenesis but also in immune modulation, including inflammation [42]; radiation increases the expression of TGF-β1, which activates cancer-associated fibroblasts. Other key regulators of the inflammatory process include CD8+ cytotoxic T cells and CD4+ T helper cells. Taken together, the complex inflammatory reactions launched by the immune system to an irradiated tumor and the surrounding stroma are neither wholly immuno-stimulatory nor immuno-suppressive.

Other insights about the microbial regulation of intestinal radiosensitivity come from studies of germ-free mice treated with whole-body gamma irradiation. One such study implicated fasting-induced adipose factor (FIAF), also known as angiopoietin-like 4 (ANGPTL4), a microbiota-regulated, epithelial-derived, secreted protein, in radioresistance, and suggested that FIAF may be useful as a gut radioprotector [43]. In another study, Enterococcus faecalis, Clostridium perfringens, Bacteroides thetaiotaomicron, and Escherichia coli were found to regulate FIAF production in colorectal cancer cell lines [44]. Transcription of ANGPTL4is regulated by peroxisome proliferator-activated receptors in response to bacteria that produce short-chain fatty acids [44, 45]. Indeed, probiotic bacteria shown to induce ANGPTL4 expression include Streptococcus, Lactobacillus, and Bifidobacterium spp, which led the authors to suggest that administering these probiotics may affect FIAF production and thus perhaps influence the course of colorectal cancer.

Interplay between the gut microbiome and radiotherapy toxicity

Gastrointestinal mucositis is a particularly debilitating side effect of radiotherapy that can lead to significant declines in quality of life as well as treatment delays or dose reductions, which in turn can compromise treatment outcomes [32]. Radiotherapy-induced diarrhea is quite common, affecting more than 80% of cancer patients receiving pelvic radiotherapy [46]. However, some patients develop severe diarrhea after radiotherapy and some do not [15], suggesting that personalized treatment planning and identification of biomarkers with which to predict which patients are likely to respond to treatment or are at risk of developing severe toxicities would help to improve treatment outcomes.

The pathobiology of gastrointestinal mucositis has been described elsewhere [47, 48], but generally involves five stages [47]. Previous studies [49] have found that gut microbiota contributes to the pathogenesis of radiotherapy-induced gastrointestinal mucositis. Briefly, radiation initiates tissue injury followed by the upregulation and amplification of inflammation, which involves the production of proinflammatory cytokines. This leads to ulceration and enhanced inflammation due to interactions with microbial products crossing the breached epithelium. The final stage, healing, involves extracellular matrix signaling, proliferation of epithelial cells, and restoration of mucosal integrity.

Table 2 summarized studies investigated interactions between the gut microbiome and radiotherapy toxicity. Changes in the microbiome are important causative factors in the adverse effects of radiation enteropathy [18, 50]. Numerous studies have shown that radiotherapy causes major changes in the gut microbial composition [16,17,18, 51]. Several clinical studies of the microbiome before and after radiotherapy for gynecologic or lower gastrointestinal tract cancer all concluded that radiation induced significant changes in the microbiome profile [15,16,17,18, 52] including reducing the variation in the gastrointestinal and colonic microbiome. This reduced variation was notable among patients with gastrointestinal or gynecologic cancer who had diarrhea after irradiation compared with those who did not [16, 17]. Patients with radiation-induced diarrhea show greater changes in the gut microbiome community than patients who do not, and hence, the gut microbiome seems to be essential for protection against radiation-induced diarrhea [17, 53]. Patients who experience diarrhea were shown to have increased Bacteroides, Dialister, Veillonella, and unclassified bacterial species and reduced Clostridium XI and XVIII, Faecalibacterium, Oscillibacter, Parabacteroides, and Prevotella [15, 17]. Some evidence also suggests that patients undergoing radiotherapy have a high incidence of Clostridium difficile infection, which is associated with high mortality rates [54]. Research has revealed that gut microbiota composition can be used as a predictive marker for the development of radiotherapy-induced diarrhea and fatigue [49].

Table 2 Studies investigated interactions between the gut microbiome and radiotherapy toxicity
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The influence of the gut microbiome on the pathogenesis of radiation-induced gastrointestinal mucositis [32] is mediated through modulation of the oxidative stress and inflammatory processes, intestinal permeability, mucus layer composition, epithelial repair and ability to resist harmful stimuli, and expression and release of immune effector molecules in the intestine [55]. The gut microbiome can influence radiation-induced gastrointestinal mucositis through two mechanisms (Fig. 2): translocation and dysbiosis. Radiation disrupts the intestinal barriers and the mucus layer and causes bacterial translocation, resulting in activation of an inflammatory response. Dysbiosis, whether caused by radiation or other factors, can influence both local and systemic immune responses.

Fig. 2
figure 2

The potential mechanisms of the gut microbiome in radiation-induced intestinal mucositis. Notes: The gut microbiome can influence radiation-induced gastrointestinal mucositis mainly through two mechanisms: translocation and dysbiosis. Radiation disrupts the intestinal barriers and the mucus layer and causes bacterial translocation, resulting in activation of an inflammatory response. Dysbiosis, whether caused by radiation or other factors, can influence both local and systemic immune responses. Another potential mechanism by which TLR has protective effects against radiation is activation of NF-κB signaling, which is essential for the protection of the gut against radiation-induced apoptosis. RT radiotherapy, TLR toll-like receptor, NF-κB nuclear factor-kappa B, DC dendritic cells, NK natural killer cells

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The gut microbiome interacts with toll-like receptors (TLR) expressed on epithelial and immune cells to maintain intestinal homeostasis. Depletion of the gut microbiome in mice by using broad-spectrum antibiotics has been associated with increased susceptibility to methotrexate-induced gastrointestinal injury, which is suppressed by the administration of TLR2 ligands [14]. Conversely, knockout of TLR4 in mice has been shown to reduce irinotecan-associated pain and gut toxicity [56]. Also, the administration of lipopolysaccharide, a membrane component of Gram-negative bacteria, before radiation is known to protect intestinal crypts via induction of cyclooxygenase-2 and the production of prostaglandins [57]. Stimulation of TLR4-expressing cells by lipopolysaccharide also leads to the release of tumor necrosis factor (TNF) -α, which interacts with the TNF receptor on the surface of subepithelial fibroblasts, leading to the production of prostaglandins and reduction in radiation-induced apoptosis of epithelial stem cells [58]. Another potential mechanism by which TLR has protective effects against radiation is activation of nuclear factor-kappa B (NF-κB) signaling [55], which is essential for the protection of the gut against radiation-induced apoptosis. NF-κB activation also mediates the radioprotective effects of lipopolysaccharide [59], suggesting that TLRs may influence the intestinal response to radiation-induced epithelial damage through the NF-κB pathway.

Potential therapies for gastrointestinal mucositis

Studies have begun to explore whether modifying the gut microbiome can maximize the response to treatment and minimize adverse effects [60]. Agents for modification studied to date include probiotics, prebiotics, or FMT, as described below.

Oral probiotics

Probiotics are defined as live microorganisms that have a beneficial role in cancer prevention and treatment by reducing the translocation of harmful bacteria, promoting intestinal immune barrier function and antipathogenic activity [61, 62]. Currently, Lactobacillus, Bifidobacteria, Saccharomyces boulardii, and Bacillus coagulans are the most common microbiome components used as probiotics [61, 62]. Synbiotics, representing a ‘bridge’ between prebiotics and probiotics, have been used to improve survival of probiotic bacteria during their passage through the upper intestinal tract [61].

A recent preclinical study of colorectal cancer cells [63] revealed that the combined application of Propionibacterium freudenreichii and TNF-related apoptosis-inducing ligand (TRAIL) increased proapoptotic gene expression and decreased antiapoptotic gene expression in those cells, suggesting that P. freudenreichii may be useful as an adjuvant for TRAIL-based colorectal cancer therapy. Probiotics have been shown to decrease the incidence and development of carcinogen-induced colorectal cancer in experimental models [64,65,66]. In a murine model of colorectal carcinoma, feeding the mice with engineered microbes and a diet of cruciferous vegetables led to significant tumor regression and reduced tumor occurrence [67]. Among patients undergoing surgery for colorectal cancer, oral probiotics have been shown to reduce tumor recurrence rates and to protect the physical and biological barrier functions of the intestinal mucosa [68, 69]. Lactobacillus casei has also been found to prevent atypia in colorectal tumors [70]. However, clinical reports indicated that use of probiotics or synbiotics had no measurable effect on gut barrier function, inflammatory response, or complications after surgery for colorectal cancer [71, 72]. Moreover, although synbiotic supplementation with Bifidobacterium lactis and resistant starch produced unique changes in the fecal microflora in another study of patients with colorectal cancer, it did not significantly alter any other fecal, serum, or epithelial biomarkers [73]. The authors of this study underscored the need to consider the patient’s family history and lifestyle, including diet, smoking, and other factors, before treatment with probiotics or synbiotics, and that further, in-depth research should be undertaken to gain a better understanding of the clinical value of these agents in colorectal cancer [74].

Indeed, studies of the effect of probiotics on radiation-induced gastrointestinal symptoms are difficult to evaluate, as they vary in the type of cancer patients recruited, the radiotherapy modalities used, the presence or absence of concomitant chemotherapy, end-point assessment, and the types of bacteria used as probiotics. A meta-analysis of six randomized controlled trials investigating probiotics and post-radiotherapy diarrhea suggested that oral probiotics could have beneficial effects in terms of reducing the incidence of diarrhea [75]. Although this is encouraging evidence, these clinical studies did not provide mechanistic details or objective evidence of the beneficial effect of probiotics on radiation-induced bowel injury. Moreover, further research is warranted with regard to how best to improve the formulation, administration, and absorption of probiotics or prebiotics-based therapies.

Prebiotics

In 2016, the International Scientific Association for Probiotics and Prebiotics updated the definition of a prebiotic as “a substrate that is selectively utilized by host microorganisms conferring a health benefit.” This definition expanded the concept of prebiotics to include non-carbohydrate substances and applications to body sites other than the gastrointestinal tract [76], thereby broadening the scope of prebiotics in research studies and clinical applications. As to their mechanism of action, both prebiotics and probiotics are thought to improve the integrity of the intestinal epithelial layer, and they may also increase resistance to pathogenic colonization. Probiotics, being new bacteria, are believed to enter the human intestinal tract and improve intestinal microecology, whereas prebiotics are intended to have a direct, regulated role in the gut microbiome.

Evidence from cell culture and animal models suggests that the consumption of prebiotics can inhibit colorectal carcinogenesis [77,78,79]. In healthy subjects, intervention trials indicated that consumption of palm, blackcurrant products, butylated starch, and wheat bran extract may have had a protective role in reducing the risk of developing colorectal cancer [80,81,82,83]. Another study showed that a diet rich in whole grains and dietary fiber was associated with a lower risk of F. nucleatum-positive colorectal cancer, but not F. nucleatum-negative colorectal cancer, suggesting that any association of diet with colorectal cancer risk significantly differed according to tissue F. nucleatum status [84]. In contrast, findings from a phase II chemoprevention trial did not provide convincing evidence that a 6-month intervention with prebiotic dietary fiber reduced the risk of developing colorectal cancer [85].

Notably, not all clinical studies of prebiotic or synbiotic therapies for colorectal cancer have shown conclusive results. Potential reasons for this include (a) differences in the pathogenesis of inflammation, genetic mutations, and epigenetic modifications in patients with colorectal cancer may result in prebiotics or synbiotics having multiple functions; (b) some specific species in the gut microbiome (pathogenic or not) could reduce or suppress the regulatory functions of prebiotics or synbiotics, or even “hijack” these agents to facilitate colorectal cancer progression under certain conditions; and (c) although prebiotics and synbiotics have important roles in modulating immune development and function and in maintaining balance in the gut microbiome, some cases of severe gut microbiome dysbiosis may not be controllable with prebiotics. Addressing these and other potential explanations may allow the use of oral prebiotics or synbiotics to prevent or control colorectal cancer in the future.

Drug interventions

Antibiotics are well known to affect the composition of the gut microbiome, but how these effects interact with the development and progression of colorectal cancer is less clear. In one study of heme-induced carcinogenesis in rats, antibiotics were found to suppress the microbiome by reducing crypt height and proliferation, thereby implicating the microbiome in heme-induced promotion of colorectal cancer [86]. Antibiotics such as anisomycin, prodigiosin, and salinomycin seem to inhibit the growth of colorectal carcinoma cells by targeting different molecular mechanisms [87,88,89]. Another study showed that treating mice bearing colon cancer xenografts with the antibiotic metronidazole reduced the Fusobacterium load, cancer cell proliferation, and overall tumor growth, which collectively suggested that antimicrobial interventions may be useful for patients with Fusobacterium-associated colorectal cancer [90]. Whether the anti-colorectal cancer properties of these drugs, present in natural microorganisms, are related to the function and balance of the gut microbiome is unclear, but they suggest an avenue for exploring and developing novel antibiotics or antibiotic peptides that are based on the human gut microbiome itself.

Other agents, including celecoxib, berberine, isoliquiritigenin, and curcumin, have also been found to decrease the incidence of colorectal tumorigenesis by modulating the gut microbiome [91,92,93,94]. Recent studies of the “fingerprint” of the human gastrointestinal tract microbiome involving the study of many complex bacterial ecosystems could push the development of narrow-spectrum antibiotics for use in treating colorectal cancer, as well as facilitating systems pharmacology and personalized therapeutics [95, 96].

FMT

Another potential means of manipulating the gut microbiota has been the use of FMT, in which a fecal suspension is transferred from healthy donors into the gastrointestinal tract of other individuals, with goal of curing specific conditions or diseases by reconstructing the normal function and immune system of the gut microbiome. FMT transplants can consist of fresh stools or frozen fecal capsules, or extracts of bacterial flora from normal fecal flora. Although direct evidence is lacking at present to support the use of FMT for treating colorectal cancer, fecal microbiomes isolated from patients with colorectal cancer have been shown to promote intestinal carcinogenesis in germ-free mice and in mice given a carcinogen [97, 98]. This indirect evidence suggests that FMT may be effective for preventing and treating colorectal cancer by its ability to improve the balance and function of the human gut microbiome. A clinical study [99] demonstrated that FMT might be safe and effective to improve intestinal symptoms and mucosal injury in patients with chronic radiation enteritis. Additionally, FMT is also shown to be an efficacious remedy to mitigate acute radiation syndrome. Recent study [100] confirmed that indole 3-propionic acid is a key intestinal microbiota metabolite corroborating the therapeutic effects of FMT to radiation toxicity.

Notably, the effects of FMT on the recipient immune system are complex and unpredictable, and the risk that FMT may lead to dissemination of unknown pathogens cannot be eliminated [101]. Numerous questions remain regarding the role of FMT, including the need to identify what makes a “good” donor, the optimal routes of administration, preparation of transplant materials, regulatory frameworks, and long-term effects [102, 103]. If we can identify favorable fecal microbiome composition, or safe and functionally well-defined bacterial strains, and use prebiotics as the “packaging material” for delivery, FMT may be an effective, low-burden supplement or alternative to chemoradiation in the near future.

Other novel approaches could include bioengineering the gut microbiome [104,105,106], the synthesis and delivery of genetically engineered probiotics [107, 108] or bacteriocins [105, 108, 109] or bacteriophages [110, 111] to modify the gut microbiome. Promisingly, the delivery of encoded nanobody antagonist of CD47 by tumor-colonizing bacteria increases activation of tumor infiltrating T cells, stimulates rapid tumor regression, prevents metastasis, and leads to long-term survival in a syngeneic tumor model. An abscopal effect was also induced by an engineered bacterial immunotherapy [106]. Additional research imperative to evaluate the potential of these engineered products for clinical application in the context of colorectal cancer.

Approaches to studying the gut microbiome

The majority of published studies used 16S rRNA sequencing to investigate and compare the taxonomic distribution and diversity of gut microbiome between individuals. However, 16S rRNA only identify bacteria level other than strain level. The functional gut microbiome can be studied using methods involving metagenomics, metatranscriptomics, metaproteomics, as well as metabolomics. The above methods may provide significant functional information for network analyses, and identification of proteins and metabolites produced by gut microbiome.

Sequencing the collection of genomes present in an ecosystem is known as metagenomics. Shotgun metagenomics provides an enormous amount of valuable functional information down to the strain level and for all types of microorganisms, therefore is now widely applied [112, 113]. However, it is quite clear that the presence of a specific gene does not inform us about its gene expression patterns. Metatranscriptomics and metaproteomics can measure transcripts and proteins directly, and are becoming important approaches additional to metagenomics. Their combination enables identification of up and down-regulated genes under specific conditions. Nucleic acid sequencing is also applied in metatranscriptomics as metagenomics. Metaproteomics measures expressed proteins using high-resolution mass spectrometry [114]. Considering not all transcripts are ultimately translated into proteins, metaproteomics provides superior insight into gut microbial functionality as compared with metatranscriptomics. What’s more, metabolomics directly measures the metabolites produced by gut microbiome using analytical techniques including nuclear magnetic resonance spectroscopy or mass spectrometry. Profiling metabolomes of microbial metabolites during radiation therapy can provide valuable information on bi-directional radiation-microbiome interactions that may contribute to the identify the underlying mechanism of the communication between microbiome and host during radiation therapy.

Considering each ‘-omic’ technology provides its own unique perspective of the microbiome and its communication with the host, multiple ‘-omic’ approaches can be applied simultaneously to the same sample to obtain integrated results [115].

Challenges and remaining unknowns for future research

The inter-individual variations seen in the response to radiation and in the severity of radiation-related toxic effects remain major challenges in the use of radiotherapy for cancer treatment. Considerable research effort has been devoted to identifying factors that could explain this variation, with particular interest expressed recently in how the gut microbiome influences radiation response and toxic effects. However, many unknowns still remain in attempts to clarify the complex, bidirectional relationship between the gut microbiome and radiation effects.

First, the role of the gut microbiome in radiosensitivity is a new concept that has generated a lot of interest, but few original studies have yielded convincing results. The mechanisms underlying how the gut microbiome influences radiosensitivity are still obscure, and much more research is needed to clarify the links between the gut microbiome and variations in radiotherapy response.

Second, radiotherapy is increasingly being combined molecular targeted therapy or immunotherapy in the treatment of solid tumors. The mechanisms underlying the synergistic effects of such combinations are a “hot topic” in research, and further information on how the gut microbiome participates in these effects is urgently needed to enhance radiation-based combined treatments for cancer. Because patients participating in clinical trials are already closely monitored, it will be important to include comprehensive microbiome assessments in this monitoring to fully understand the baseline microbiome in cancer patients and to study the effects of various therapies on specific bacterial families and their contribution to therapeutic outcomes.

Third, aspects of the microbiome could be used to predict cancer risk, recurrence, response to therapies, and survival—in other words, aspects of the gut microbiome could be useful as predictive and prognostic biomarkers. Future research to investigate the influence of the gut microbiome on the incidence and severity of radiotherapy-induced mucositis is warranted, with a view toward modulating the microbiome composition to improve cancer therapy outcomes.

Fourth, findings from most analyses of the gut microbiome undertaken to date have relied on next-generation sequencing. However, the presence of a gene or its transcript does not necessarily indicate protein expression; therefore, direct measurements of expressed proteins via meta-proteomics will be useful for providing precise functional information on the microbiome. Indeed, thorough examinations of the gut microbiome should include metaproteomic analysis, which can reveal both human and microbial functional changes indicative of the host-microbiome interactions. More recently, “microscomics” approach was conducted in human stool samples by transmission electron microscopy, which may further decline the inconsistencies observed with metagenomics and culturomics [116]. This is an exciting avenue for novel therapies.

Finally, previous studies showed that microbial metabolites produced locally can enter the bloodstream and act systemically (Fig. 3) [117, 118]. Crosstalk between gut microbiome, microbial metabolites and immune microenvironment may modulate radiosensitivity, which converting immunologically “cold” tumors to “hot”, and even “hot” tumors to “hotter”, ultimately affecting treatment efficacy. Immune microenvironment is also closely related to radiation injury. Radiation-induced toxicity may be predicted by potential metabolic biomarkers, and be reduced by oral nutritional approaches including changes in diet, probiotics, prebiotics, etc. Harnessing the interactions between gut microbiome, microbial metabolites and immune microenvironment is the current and future research directions of our research group, with more research outcome is to be expected.

Fig. 3
figure 3

Crosstalks between gut microbiome, microbial metabolites and immune microenvironment may explain the underlying mechanism of gut immune alliance. Notes: Microbial metabolites induced by radiotherapy could enter the bloodstream transported to the liver, brain and other organs of the body. Immune microenvironment is thus changed and may modulate radio-sensitivity and radiation injury. GLP-1 glucagon-like peptide-1, PYY peptide tyrosine tyrosine, LPS lipopolysaccharide, IPA indolepropionic acid, APC antigen-presenting cell, TLR toll-like receptor

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Availability of data and materials

Not applicable.

Abbreviations

TLR:

Toll-like receptor

NF-κB:

Nuclear factor-kappa B

Tregs:

Regulatory T cells

TGF-β:

Transforming growth factor-β

FIAF:

Fasting-induced adipose factor

ANGPTL4:

Angiopoietin-like 4

TNF:

Tumor necrosis factor

TRAIL:

Tumor necrosis factor-related apoptosis-inducing ligand

FMT:

Fecal microbial transplantation

CR:

Complete response

References

  1. Ahmad SS, Duke S, Jena R, Williams MV, Burnet NG. Advances in radiotherapy. BMJ. 2012;345:e7765. https://doi.org/10.1136/bmj.e7765.

    Article  CAS  PubMed  Google Scholar 

  2. Jaffray DA. Image-guided radiotherapy: from current concept to future perspectives. Nat Rev Clin Oncol. 2012;9(12):688–99. https://doi.org/10.1038/nrclinonc.2012.194.

    Article  CAS  PubMed  Google Scholar 

  3. Delaney G, Jacob S, Featherstone C, Barton M. The role of radiotherapy in cancer treatment: estimating optimal utilization from a review of evidence-based clinical guidelines. Cancer. 2005;104(6):1129–37. https://doi.org/10.1002/cncr.21324.

    Article  PubMed  Google Scholar 

  4. Barnett GC, West CM, Dunning AM, Elliott RM, Coles CE, Pharoah PDP, et al. Normal tissue reactions to radiotherapy: towards tailoring treatment dose by genotype. Nat Rev Cancer. 2009;9(2):134–42. https://doi.org/10.1038/nrc2587.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Begg AC, Stewart FA, Vens C. Strategies to improve radiotherapy with targeted drugs. Nat Rev Cancer. 2011;11(4):239–53. https://doi.org/10.1038/nrc3007.

    Article  CAS  PubMed  Google Scholar 

  6. Park SY, Lee CJ, Choi JH, Kim JH, Kim JW, Kim JY, et al. The JAK2/STAT3/CCND2 axis promotes colorectal cancer stem cell persistence and radioresistance. J Exp Clin Cancer Res. 2019;38(1):399. https://doi.org/10.1186/s13046-019-1405-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Buckley AM, Lynam-Lennon N, O’Neill H, O’Sullivan J. Targeting hallmarks of cancer to enhance radiosensitivity in gastrointestinal cancers. Nat Rev Gastroenterol Hepatol. 2020;17(5):298–313. https://doi.org/10.1038/s41575-019-0247-2.

    Article  CAS  PubMed  Google Scholar 

  8. Bentzen SM, Overgaard J. Patient-to-patient variability in the expression of radiation-induced normal tissue injury. Semin Radiat Oncol. 1994;4(2):68–80. https://doi.org/10.1053/SRAO00400068.

    Article  CAS  PubMed  Google Scholar 

  9. Andreassen CN, Alsner J. Genetic variants and normal tissue toxicity after radiotherapy: a systematic review. Radiother Oncol. 2009;92(3):299–309. https://doi.org/10.1016/j.radonc.2009.06.015.

    Article  CAS  PubMed  Google Scholar 

  10. Viaud S, Saccheri F, Mignot G, Yamazaki T, Daillère R, Hannani D, et al. The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide. Science. 2013;342(6161):971–6. https://doi.org/10.1126/science.1240537.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Iida N, Dzutsev A, Stewart CA, Smith L, Bouladoux N, Weingarten RA, et al. Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment. Science. 2013;342(6161):967–70. https://doi.org/10.1126/science.1240527.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Vétizou M, Pitt JM, Daillère R, Lepage P, Waldschmitt N, Flament C, et al. Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science. 2015;350(6264):1079–84. https://doi.org/10.1126/science.aad1329.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Sivan A, Corrales L, Hubert N, Williams JB, Aquino-Michaels K, Earley ZM, et al. Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science. 2015;350(6264):1084–9. https://doi.org/10.1126/science.aac4255.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Frank M, Hennenberg EM, Eyking A, Rünzi M, Gerken G, Scott P, et al. TLR signaling modulates side effects of anticancer therapy in the small intestine. J Immunol. 2015;194(4):1983–95. https://doi.org/10.4049/jimmunol.1402481.

    Article  CAS  PubMed  Google Scholar 

  15. Manichanh C, Varela E, Martinez C, Antolin M, Llopis M, Doré J, et al. The gut microbiota predispose to the pathophysiology of acute postradiotherapy diarrhea. Am J Gastroenterol. 2008;103(7):1754–61. https://doi.org/10.1111/j.1572-0241.2008.01868.x.

    Article  CAS  PubMed  Google Scholar 

  16. Nam YD, Kim HJ, Seo JG, Kang SW, Bae JW. Impact of pelvic radiotherapy on gut microbiota of gynecological cancer patients revealed by massive pyrosequencing. PLoS ONE. 2013;8(12):e82659. https://doi.org/10.1371/journal.pone.0082659.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Wang A, Ling Z, Yang Z, Kiela PR, Wang T, Wang C, et al. Gut microbial dysbiosis may predict diarrhea and fatigue in patients undergoing pelvic cancer radiotherapy: a pilot study. PLoS ONE. 2015;10(5):e0126312. https://doi.org/10.1371/journal.pone.0126312.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Mitra A, Grossman Biegert GW, Delgado AY, Karpinets TV, Solley TN, Mezzari MP, et al. Microbial diversity and composition is associated with patient-reported toxicity during chemoradiation therapy for cervical cancer. Int J Radiat Oncol Biol Phys. 2020;107(1):163–71. https://doi.org/10.1016/j.ijrobp.2019.12.040.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Saeed A, Eshrat FF, Umar S, Saeed A. The duplex interaction of microbiome with chemoradiation and immunotherapy: potential implications for colorectal cancer. Curr Colorectal Cancer Rep. 2019;15(3):98–104. https://doi.org/10.1007/s11888-019-00435-1.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Alexander JL, Wilson ID, Teare J, Marchesi JR, Nicholson JK, Kinross JM. Gut microbiota modulation of chemotherapy efficacy and toxicity. Nat Rev Gastroenterol Hepatol. 2017;14(6):356–65. https://doi.org/10.1038/nrgastro.2017.20.

    Article  CAS  PubMed  Google Scholar 

  21. Roy S, Trinchieri G. Microbiota: a key orchestrator of cancer therapy. Nat Rev Cancer. 2017;17(5):271–85. https://doi.org/10.1038/nrc.2017.13.

    Article  CAS  PubMed  Google Scholar 

  22. Baskar R, Dai J, Wenlong N, Yeo R, Yeoh KW. Biological response of cancer cells to radiation treatment. Front Mol Biosci. 2014;1:24. https://doi.org/10.3389/fmolb.2014.00024.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Kareva I. Metabolism and gut microbiota in cancer immunoediting, CD8/Treg Ratios, immune cell homeostasis, and cancer (immuno)therapy: concise review. Stem Cells. 2019;37(10):1273–80. https://doi.org/10.1002/stem.3051.

    Article  PubMed  Google Scholar 

  24. Helmink BA, Khan MAW, Hermann A, Gopalakrishnan V, Wargo JA. The microbiome, cancer, and cancer therapy. Nat Med. 2019;25(3):377–88. https://doi.org/10.1038/s41591-019-0377-7.

    Article  CAS  PubMed  Google Scholar 

  25. Chan SL. Microbiome and cancer treatment: are we ready to apply in clinics? Prog Mol Biol Transl Sci. 2020;171:301–8. https://doi.org/10.1016/bs.pmbts.2020.04.004.

    Article  PubMed  Google Scholar 

  26. Gately S. Human microbiota and personalized cancer treatments: role of commensal microbes in treatment outcomes for cancer patients. Cancer Treat Res. 2019;178:253–64. https://doi.org/10.1007/978-3-030-16391-4_10.

    Article  CAS  PubMed  Google Scholar 

  27. Hekmatshoar Y, Rahbar Saadat Y, Hosseiniyan Khatibi SM, Ozkan T, Zununi Vahed F, Nariman-Saleh-Fam Z, et al. The impact of tumor and gut microbiotas on cancer therapy: beneficial or detrimental? Life Sci. 2019;233:116680. https://doi.org/10.1016/j.lfs.2019.116680.

    Article  CAS  PubMed  Google Scholar 

  28. Wheeler KM, Liss MA. The microbiome and prostate cancer risk. Curr Urol Rep. 2019;20(10):66. https://doi.org/10.1007/s11934-019-0922-4.

    Article  PubMed  Google Scholar 

  29. Scott AJ, Merrifield CA, Younes JA, Pekelharing EP. Pre-, pro- and synbiotics in cancer prevention and treatment—a review of basic and clinical research. Ecancermedicalscience. 2018;12:869. https://doi.org/10.3332/ecancer.2018.869.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kim YS, Kim J, Park SJ. High-throughput 16S rRNA gene sequencing reveals alterations of mouse intestinal microbiota after radiotherapy. Anaerobe. 2015;33:1–7. https://doi.org/10.1016/j.anaerobe.2015.01.004.

    Article  CAS  PubMed  Google Scholar 

  31. Jang BS, Chang JH, Chie EK, Kim K, Park JW, Kim MJ, et al. Gut Microbiome composition is associated with a pathologic response after preoperative chemoradiation in patients with rectal cancer. Int J Radiat Oncol Biol Phys. 2020;107(4):736–46. https://doi.org/10.1016/j.ijrobp.2020.04.015.

    Article  PubMed  Google Scholar 

  32. Touchefeu Y, Montassier E, Nieman K, Gastinne T, Potel G, Bruley des Varannes S, et al. Systematic review: the role of the gut microbiota in chemotherapy- or radiation-induced gastrointestinal mucositis: current evidence and potential clinical applications. Aliment Pharmacol Ther. 2014;40(5):409–21. https://doi.org/10.1111/apt.12878.

    Article  CAS  PubMed  Google Scholar 

  33. Riquelme E, Zhang Y, Zhang L, Montiel M, Zoltan M, Dong W, et al. Tumor microbiome diversity and composition influence pancreatic cancer outcomes. Cell. 2019;178(4):795-806.e12. https://doi.org/10.1016/j.cell.2019.07.008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Uribe-Herranz M, Rafail S, Beghi S, Gil-de-Gómez L, Verginadis I, Bittinger K, et al. Gut microbiota modulate dendritic cell antigen presentation and radiotherapy-induced antitumor immune response. J Clin Invest. 2020;130(1):466–79. https://doi.org/10.1172/JCI124332.

    Article  CAS  PubMed  Google Scholar 

  35. Cui M, Xiao H, Li Y, Zhou L, Zhao S, Luo D, et al. Faecal microbiota transplantation protects against radiation-induced toxicity. EMBO Mol Med. 2017;9(4):448–61. https://doi.org/10.15252/emmm.201606932.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Cui M, Xiao H, Luo D, Zhang X, Zhao S, Zheng Q, et al. Circadian rhythm shapes the gut microbiota affecting host radiosensitivity. Int J Mol Sci. 2016;17(11):1786. https://doi.org/10.3390/ijms17111786.

    Article  CAS  PubMed Central  Google Scholar 

  37. Chan S, Rowbottom L, McDonald R, Bjarnason GA, Tsao M, Danjoux C, et al. Does the time of radiotherapy affect treatment outcomes? A review of the literature. Clin Oncol (R Coll Radiol). 2017;29(4):231–8. https://doi.org/10.1016/j.clon.2016.12.005.

    Article  CAS  Google Scholar 

  38. Kuwahara Y, Oikawa T, Ochiai Y, Roudkenar MH, Fukumoto M, Shimura T, et al. Enhancement of autophagy is a potential modality for tumors refractory to radiotherapy. Cell Death Dis. 2011;2(6):e177. https://doi.org/10.1038/cddis.2011.56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Digomann D, Kurth I, Tyutyunnykova A, Chen O, Löck S, Gorodetska I, et al. The CD98 heavy chain is a marker and regulator of head and neck squamous cell carcinoma radiosensitivity. Clin Cancer Res. 2019;25(10):3152–63. https://doi.org/10.1158/1078-0432.CCR-18-2951.

    Article  CAS  PubMed  Google Scholar 

  40. Digomann D, Linge A, Dubrovska A. SLC3A2/CD98hc, autophagy and tumor radioresistance: a link confirmed. Autophagy. 2019;15(10):1850–1. https://doi.org/10.1080/15548627.2019.1639302.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Yu T, Guo F, Yu Y, Sun T, Ma D, Han J, et al. Fusobacterium nucleatum promotes chemoresistance to colorectal cancer by modulating autophagy. Cell. 2017;170(3):548-63.e16. https://doi.org/10.1016/j.cell.2017.07.008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Kalluri R, Zeisberg M. Fibroblasts in cancer. Nat Rev Cancer. 2006;6(5):392–401. https://doi.org/10.1038/nrc1877.

    Article  CAS  PubMed  Google Scholar 

  43. Crawford PA, Gordon JI. Microbial regulation of intestinal radiosensitivity. Proc Natl Acad Sci USA. 2005;102(37):132254–9. https://doi.org/10.1073/pnas.0504830102.

    Article  CAS  Google Scholar 

  44. Grootaert C, Van de Wiele T, Van Roosbroeck I, Possemiers S, Vercoutter-Edouart AS, Verstraete W, et al. Bacterial monocultures, propionate, butyrate and H2O2 modulate the expression, secretion and structure of the fasting-induced adipose factor in gut epithelial cell lines. Environ Microbiol. 2011;13(7):1778–89. https://doi.org/10.1111/j.1462-2920.2011.02482.x.

    Article  CAS  PubMed  Google Scholar 

  45. Korecka A, de Wouters T, Cultrone A, Lapaque N, Pettersson S, Doré J, et al. ANGPTL4 expression induced by butyrate and rosiglitazone in human intestinal epithelial cells utilizes independent pathways. Am J Physiol Gastrointest Liver Physiol. 2013;304(11):G1025–37. https://doi.org/10.1152/ajpgi.00293.2012.

    Article  CAS  PubMed  Google Scholar 

  46. Demers M, Dagnault A, Desjardins J. A randomized double-blind controlled trial: impact of probiotics on diarrhea in patients treated with pelvic radiation. Clin Nutr. 2014;33(5):761–7. https://doi.org/10.1016/j.clnu.2013.10.015.

    Article  PubMed  Google Scholar 

  47. Sonis ST, Elting LS, Keefe D, Peterson DE, Schubert M, Hauer-Jensen M, et al. Perspectives on cancer therapy-induced mucosal injury: pathogenesis, measurement, epidemiology, and consequences for patients. Cancer. 2004;100(9 Suppl):1995–2025. https://doi.org/10.1002/cncr.20162.

    Article  PubMed  Google Scholar 

  48. Lalla RV, Sonis ST, Peterson DE. Management of oral mucositis in patients who have cancer. Dent Clin North Am. 2008;52(1):61–77. https://doi.org/10.1016/j.cden.2007.10.002.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Al-Qadami G, Van Sebille Y, Le H, Bowen J. Gut microbiota: implications for radiotherapy response and radiotherapy-induced mucositis. Expert Rev Gastroenterol Hepatol. 2019;13(5):485–96. https://doi.org/10.1080/17474124.2019.1595586.

    Article  CAS  PubMed  Google Scholar 

  50. Ferreira MR, Muls A, Dearnaley DP, Andreyev HJ. Microbiota and radiation-induced bowel toxicity: lessons from inflammatory bowel disease for the radiation oncologist. Lancet Oncol. 2014;15(3):e139–47. https://doi.org/10.1016/S1470-2045(13)70504-7.

    Article  PubMed  Google Scholar 

  51. Gerassy-Vainberg S, Blatt A, Danin-Poleg Y, Gershovich K, Sabo E, Nevelsky A, et al. Radiation induces proinflammatory dysbiosis: transmission of inflammatory susceptibility by host cytokine induction. Gut. 2018;67(1):97–107. https://doi.org/10.1136/gutjnl-2017-313789.

    Article  CAS  PubMed  Google Scholar 

  52. Goudarzi M, Mak TD, Jacobs JP, Moon BH, Strawn SJ, Braun J, et al. An integrated multi-omic approach to assess radiation injury on the host-microbiome axis. Radiat Res. 2016;186(3):219–34. https://doi.org/10.1667/RR14306.1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Montassier E, Batard E, Massart S, Gastinne T, Carton T, Caillon J, et al. 16S rRNA gene pyrosequencing reveals shift in patient faecal microbiota during high-dose chemotherapy as conditioning regimen for bone marrow transplantation. Microb Ecol. 2014;67(3):690–9. https://doi.org/10.1007/s00248-013-0355-4.

    Article  CAS  PubMed  Google Scholar 

  54. Neemann K, Freifeld A. Clostridium difficile-associated diarrhea in the oncology patient. J Oncol Pract. 2017;13(1):25–30. https://doi.org/10.1200/JOP.2016.018614.

    Article  PubMed  Google Scholar 

  55. van Vliet MJ, Harmsen HJ, de Bont ES, Tissing WJ. The role of intestinal microbiota in the development and severity of chemotherapy-induced mucositis. PLoS Pathog. 2010;6(5):e1000879. https://doi.org/10.1371/journal.ppat.1000879.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Wardill HR, Gibson RJ, Van Sebille YZA, Secombe KR, Coller JK, White IA, et al. Irinotecan-induced gastrointestinal dysfunction and pain are mediated by common TLR4-dependent mechanisms. Mol Cancer Ther. 2016;15(6):1376–86. https://doi.org/10.1158/1535-7163.MCT-15-0990.

    Article  CAS  PubMed  Google Scholar 

  57. Riehl T, Cohn S, Tessner T, Schloemann S, Stenson WF. Lipopolysaccharide is radioprotective in the mouse intestine through a prostaglandin-mediated mechanism. Gastroenterology. 2000;118(6):1106–16. https://doi.org/10.1016/s0016-5085(00)70363-5.

    Article  CAS  PubMed  Google Scholar 

  58. Riehl TE, Newberry RD, Lorenz RG, Stenson WF. TNFR1 mediates the radioprotective effects of lipopolysaccharide in the mouse intestine. Am J Physiol Gastrointest Liver Physiol. 2004;286(1):G166–73. https://doi.org/10.1152/ajpgi.00537.2002.

    Article  CAS  PubMed  Google Scholar 

  59. Egan LJ, Eckmann L, Greten FR, Chae S, Li ZW, Myhre GM, et al. IκB-kinaseβ-dependent NF-κB activation provides radioprotection to the intestinal epithelium. Proc Natl Acad Sci USA. 2004;101(8):2452–7. https://doi.org/10.1073/pnas.0306734101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Gori S, Inno A, Belluomini L, Bocus P, Bisoffi Z, Russo A, Arcaro G. Gut microbiota and cancer: how gut microbiota modulates activity, efficacy and toxicity of antitumoral therapy. Crit Rev Oncol Hematol. 2019;143:139–47. https://doi.org/10.1016/j.critrevonc.2019.09.003.

    Article  PubMed  Google Scholar 

  61. Pandey KR, Naik SR, Vakil BV. Probiotics, prebiotics and synbiotics—a review. J Food Sci Technol. 2015;52(12):7577–87. https://doi.org/10.1007/s13197-015-1921-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Zhang M, Sun K, Wu Y, Yang Y, Tso P, Wu Z. Interactions between intestinal microbiota and host immune response in inflammatory bowel disease. Front Immunol. 2017;8:942. https://doi.org/10.3389/fimmu.2017.00942.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Cousin FJ, Jouan-Lanhouet S, Théret N, Brenner C, Jouan E, Le Moigne-Muller G, et al. The probiotic Propionibacterium freudenreichii as a new adjuvant for TRAIL-based therapy in colorectal cancer. Oncotarget. 2016;7(6):7161–78. https://doi.org/10.18632/oncotarget.6881.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Lenoir M, Del Carmen S, Cortes-Perez NG, Lozano-Ojalvo D, Muñoz-Provencio D, Chain F, et al. Lactobacillus casei BL23 regulates Treg and Th17 T-cell populations and reduces DMH-associated colorectal cancer. J Gastroenterol. 2016;51(9):862–73. https://doi.org/10.1007/s00535-015-1158-9.

    Article  CAS  PubMed  Google Scholar 

  65. Del Carmen S, de Moreno de LeBlanc A, Levit R, Levit R, Azevedo V, Langella P, et al. Anti-cancer effect of lactic acid bacteria expressing antioxidant enzymes or IL-10 in a colorectal cancer mouse model. Int Immunopharmacol. 2017;42:122–9. https://doi.org/10.1016/j.intimp.2016.11.017.

    Article  CAS  PubMed  Google Scholar 

  66. Mohania D, Kansal VK, Kruzliak P, Kumari A. Probiotic Dahi containing Lactobacillus acidophilus and Bifidobacterium bifidum modulates the formation of aberrant crypt foci, mucin-depleted foci, and cell proliferation on 1,2-dimethylhydrazine-induced colorectal carcinogenesis in Wistar rats. Rejuvenation Res. 2014;17(4):325–33. https://doi.org/10.1089/rej.2013.1537.

    Article  CAS  PubMed  Google Scholar 

  67. Ho CL, Tan HQ, Chua KJ, Kang A, Lim KH, Ling KL, et al. Engineered commensal microbes for diet-mediated colorectal-cancer chemoprevention. Nat Biomed Eng. 2018;2(1):27–37. https://doi.org/10.1038/s41551-017-0181-y.

    Article  CAS  PubMed  Google Scholar 

  68. Franko J, Raman S, Krishnan N, Frankova D, Tee MC, Brahmbhatt R, et al. Randomized trial of perioperative probiotics among patients undergoing major abdominal operation. J Am Coll Surg. 2019;229(6):533-40.e1. https://doi.org/10.1016/j.jamcollsurg.2019.09.002.

    Article  PubMed  Google Scholar 

  69. Chowdhury AH, Adiamah A, Kushairi A, Varadhan KK, Krznaric Z, Kulkarni AD, et al. Perioperative probiotics or synbiotics in adults undergoing elective abdominal surgery: a systematic review and meta-analysis of randomized controlled trials. Ann Surg. 2020;271(6):1036–47. https://doi.org/10.1097/SLA.0000000000003581.

    Article  PubMed  Google Scholar 

  70. Casas-Solís J, Huizar-López MDR, Irecta-Nájera CA, Pita-López ML, Santerre A. Immunomodulatory effect of lactobacillus casei in a murine model of colon carcinogenesis. Probiotics Antimicrob Proteins. 2019. https://doi.org/10.1007/s12602-019-09611-z.

    Article  Google Scholar 

  71. Krebs B. Prebiotic and synbiotic treatment before colorectal surgery–randomised double blind trial. Coll Antropol. 2016;40(1):35–40.

    CAS  PubMed  Google Scholar 

  72. Krebs B, Horvat M, Golle A, Krznaric Z, Papeš D, Augustin G, et al. A randomized clinical trial of synbiotic treatment before colorectal cancer surgery. Am Surg. 2013;79(12):E340–2.

    Article  PubMed  Google Scholar 

  73. Worthley DL, Le Leu RK, Whitehall VL, Conlon M, Christophersen C, Belobrajdic D, et al. A human, double-blind, placebo-controlled, crossover trial of prebiotic, probiotic, and synbiotic supplementation: effects on luminal, inflammatory, epigenetic, and epithelial biomarkers of colorectal cancer. Am J Clin Nutr. 2009;90(3):578–86. https://doi.org/10.3945/ajcn.2009.28106.

    Article  CAS  PubMed  Google Scholar 

  74. Lamichhane P, Maiolini M, Alnafoosi O, Hussein S, Alnafoosi H, Umbela S, et al. Colorectal cancer and probiotics: are bugs really drugs? Cancers (Basel). 2020;12(5):1162. https://doi.org/10.3390/cancers12051162.

    Article  CAS  Google Scholar 

  75. Liu MM, Li ST, Shu Y, Zhan HQ. Probiotics for prevention of radiation-induced diarrhea: a meta-analysis of randomized controlled trials. PLoS ONE. 2017;12(6):e0178870. https://doi.org/10.1371/journal.pone.0178870.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Gibson GR, Hutkins R, Sanders ME, Prescott SL, Reimer RA, Salminen SJ, et al. Expert consensus document: the international scientific association for probiotics and prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics. Nat Rev Gastroenterol Hepatol. 2017;14(8):491–502. https://doi.org/10.1038/nrgastro.2017.75.

    Article  PubMed  Google Scholar 

  77. Qamar TR, Syed F, Nasir M, Rehman H, Zahid MN, Liu RH, et al. Novel combination of prebiotics galacto-oligosaccharides and inulin-inhibited aberrant crypt foci formation and biomarkers of colon cancer in Wistar rats. Nutrients. 2016;8(8):465. https://doi.org/10.3390/nu8080465.

    Article  CAS  PubMed Central  Google Scholar 

  78. Skiba MB, Kohler LN, Crane TE, Jacobs ET, Shadyab AH, Kato I, et al. The association between prebiotic fiber supplement use and colorectal cancer risk and mortality in the women’s health initiative. Cancer Epidemiol Biomark Prev. 2019;28(11):1884–90. https://doi.org/10.1158/1055-9965.

    Article  CAS  Google Scholar 

  79. Kaźmierczak-Siedlecka K, Daca A, Fic M, van de Wetering T, Folwarski M, Makarewicz W. Therapeutic methods of gut microbiota modification in colorectal cancer management—fecal microbiota transplantation, prebiotics, probiotics, and synbiotics. Gut Microbes. 2020;11(6):1518–30. https://doi.org/10.1080/19490976.2020.1764309.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Eid N, Osmanova H, Natchez C, Walton G, Costabile A, Gibson G, et al. Impact of palm date consumption on microbiota growth and large intestinal health: a randomised, controlled, cross-over, human intervention study. Br J Nutr. 2015;114(8):1226–36. https://doi.org/10.1017/S0007114515002780.

    Article  CAS  PubMed  Google Scholar 

  81. Le Leu RK, Winter JM, Christophersen CT, Young GP, Humphreys KJ, Hu Y, et al. Butyrylated starch intake can prevent red meat-induced O6-methyl-2-deoxyguanosine adducts in human rectal tissue: a randomised clinical trial. Br J Nutr. 2015;114(2):220–30. https://doi.org/10.1017/S0007114515001750.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Molan AL, Liu Z, Plimmer G. Evaluation of the effect of blackcurrant products on gut microbiota and on markers of risk for colon cancer in humans. Phytother Res. 2014;28(3):416–22. https://doi.org/10.1002/ptr.5009.

    Article  CAS  PubMed  Google Scholar 

  83. Windey K, De Preter V, Huys G, Broekaert WF, Delcour JA, Louat T, et al. Wheat bran extract alters colonic fermentation and microbial composition, but does not affect faecal water toxicity: a randomised controlled trial in healthy subjects. Br J Nutr. 2015;113(2):225–38. https://doi.org/10.1017/S0007114514003523.

    Article  CAS  PubMed  Google Scholar 

  84. Mehta RS, Nishihara R, Cao Y, Song M, Mima K, Qian ZR, et al. Association of dietary patterns with risk of colorectal cancer subtypes classified by Fusobacterium nucleatum in tumor tissue [published correction appears in JAMA Oncol. 2019;5(4):579]. JAMA Oncol. 2017;3(7):921–7. https://doi.org/10.1001/jamaoncol.2016.6374.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Limburg PJ, Mahoney MR, Ziegler KL, Sontag SJ, Schoen RE, Benya R, et al. Randomized phase II trial of sulindac, atorvastatin, and prebiotic dietary fiber for colorectal cancer chemoprevention. Cancer Prev Res (Phila). 2011;4(2):259–69. https://doi.org/10.1158/1940-6207.CAPR-10-0215.

    Article  CAS  Google Scholar 

  86. Martin OC, Lin C, Naud N, Tache S, Raymond-Letron I, Corpet DE, et al. Antibiotic suppression of intestinal microbiota reduces heme-induced lipoperoxidation associated with colon carcinogenesis in rats. Nutr Cancer. 2015;67(1):119–25. https://doi.org/10.1080/01635581.2015.976317.

    Article  CAS  PubMed  Google Scholar 

  87. Ushijima H, Horyozaki A, Maeda M. Anisomycin-induced GATA-6 degradation accompanying a decrease of proliferation of colorectal cancer cell. Biochem Biophys Res Commun. 2016;478(1):481–5. https://doi.org/10.1016/j.bbrc.2016.05.139.

    Article  CAS  PubMed  Google Scholar 

  88. Prabhu VV, Hong B, Allen JE, Zhang S, Lulla AR, Dicker DT, et al. Small-molecule prodigiosin restores p53 tumor suppressor activity in chemoresistant colorectal cancer stem cells via c-Jun-mediated ΔNp73 inhibition and p73 activation. Cancer Res. 2016;76(7):1989–99. https://doi.org/10.1158/0008-5472.CAN-14-2430.

    Article  CAS  PubMed  Google Scholar 

  89. Klose J, Eissele J, Volz C, Schmitt S, Ritter A, Ying S, et al. Salinomycin inhibits metastatic colorectal cancer growth and interferes with Wnt/β-catenin signaling in CD133+ human colorectal cancer cells. BMC Cancer. 2016;16(1):896. https://doi.org/10.1186/s12885-016-2879-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Bullman S, Pedamallu CS, Sicinska E, Clancy TE, Zhang X, Cai D, et al. Analysis of Fusobacterium persistence and antibiotic response in colorectal cancer. Science. 2017;358(6369):1443–8. https://doi.org/10.1126/science.aal5240.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Montrose DC, Zhou XK, McNally EM, Sue E, Yantiss RK, Gross SS, et al. Celecoxib alters the intestinal microbiota and metabolome in association with reducing polyp burden. Cancer Prev Res (Phila). 2016;9(9):721–31. https://doi.org/10.1158/1940-6207.CAPR-16-0095.

    Article  CAS  Google Scholar 

  92. Yu YN, Yu TC, Zhao HJ, Sun TT, Chen HM, Chen HY, et al. Berberine may rescue Fusobacterium nucleatum-induced colorectal tumorigenesis by modulating the tumor microenvironment. Oncotarget. 2015;6(31):32013–26. https://doi.org/10.18632/oncotarget.5166.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Wu M, Wu Y, Deng B, Li J, Cao H, Qu Y, et al. Isoliquiritigenin decreases the incidence of colitis-associated colorectal cancer by modulating the intestinal microbiota. Oncotarget. 2016;7(51):85318–31. https://doi.org/10.18632/oncotarget.13347.

    Article  PubMed  PubMed Central  Google Scholar 

  94. McFadden RM, Larmonier CB, Shehab KW, Midura-Kiela M, Ramalingam R, Harrison CA, et al. The role of curcumin in modulating colonic microbiota during colitis and colon cancer prevention. Inflamm Bowel Dis. 2015;21(11):2483–94. https://doi.org/10.1097/MIB.0000000000000522.

    Article  PubMed  Google Scholar 

  95. Tomasello G, Mazzola M, Jurjus A, Cappello F, Carini F, Damiani P, et al. The fingerprint of the human gastrointestinal tract microbiota: a hypothesis of molecular mapping. J Biol Regul Homeost Agents. 2017;31(1):245–9.

    CAS  PubMed  Google Scholar 

  96. El Rakaiby M, Dutilh BE, Rizkallah MR, Boleij A, Cole JN, Aziz RK. Pharmacomicrobiomics: the impact of human microbiome variations on systems pharmacology and personalized therapeutics. OMICS. 2014;18(7):402–14. https://doi.org/10.1089/omi.2014.0018.

    Article  CAS  Google Scholar 

  97. Cao H, Xu M, Dong W, Deng B, Wang S, Zhang Y, et al. Secondary bile acid-induced dysbiosis promotes intestinal carcinogenesis. Int J Cancer. 2017;140(11):2545–56. https://doi.org/10.1002/ijc.30643.

    Article  CAS  PubMed  Google Scholar 

  98. Castellarin M, Warren RL, Freeman JD, Dreolini L, Krzywinski M, Strauss J, et al. Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma. Genome Res. 2012;22(2):299–306. https://doi.org/10.1101/gr.126516.111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  99. Ding X, Li Q, Li P, Chen X, Xiang L, Bi L, et al. Fecal microbiota transplantation: A promising treatment for radiation enteritis? Radiother Oncol. 2020;143:12–8. https://doi.org/10.1016/j.radonc.2020.01.011.

    Article  CAS  PubMed  Google Scholar 

  100. Xiao HW, Cui M, Li Y, Dong JL, Zhang SQ, Zhu CC, et al. Gut microbiota-derived indole 3-propionic acid protects against radiation toxicity via retaining acyl-CoA-binding protein. Microbiome. 2020;8(1):69. https://doi.org/10.1186/s40168-020-00845-6.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Pamer EG. Fecal microbiota transplantation: effectiveness, complexities, and lingering concerns. Mucosal Immunol. 2014;7(2):210–4. https://doi.org/10.1038/mi.2013.117.

    Article  CAS  PubMed  Google Scholar 

  102. Borody TJ, Paramsothy S, Agrawal G. Fecal microbiota transplantation: indications, methods, evidence, and future directions. Curr Gastroenterol Rep. 2013;15(8):337. https://doi.org/10.1007/s11894-013-0337-1.

    Article  PubMed  PubMed Central  Google Scholar 

  103. Hoffmann D, Palumbo F, Ravel J, Roghmann MC, Rowthorn V, von Rosenvinge E. Improving regulation of microbiota transplants. Science. 2017;358(6369):1390–1. https://doi.org/10.1126/science.aaq0034.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Ronda C, Chen SP, Cabral V, Yaung SJ, Wang HH. Metagenomic engineering of the mammalian gut microbiome in situ. Nat Methods. 2019;16(2):167–70. https://doi.org/10.1038/s41592-018-0301-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Song W, Anselmo AC, Huang L. Nanotechnology intervention of the microbiome for cancer therapy. Nat Nanotechnol. 2019;14(12):1093–103. https://doi.org/10.1038/s41565-019-0589-5.

    Article  CAS  PubMed  Google Scholar 

  106. Chowdhury S, Castro S, Coker C, Hinchliffe TE, Arpaia N, Danino T. Programmable bacteria induce durable tumor regression and systemic antitumor immunity. Nat Med. 2019;25(7):1057–63. https://doi.org/10.1038/s41591-019-0498-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Sola-Oladokun B, Culligan EP, Sleator RD. Engineered probiotics: applications and biological containment. Annu Rev Food Sci Technol. 2017;8:353–70. https://doi.org/10.1146/annurev-food-030216-030256.

    Article  PubMed  Google Scholar 

  108. Kommineni S, Bretl DJ, Lam V, Chakraborty R, Hayward M, Simpson P, et al. Bacteriocin production augments niche competition by enterococci in the mammalian gastrointestinal tract. Nature. 2015;526(7575):719–22. https://doi.org/10.1038/nature15524.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Özel B, Şimşek Ö, Akçelik M, Saris PEJ. Innovative approaches to nisin production. Appl Microbiol Biotechnol. 2018;102(15):6299–307. https://doi.org/10.1007/s00253-018-9098-y.

    Article  CAS  PubMed  Google Scholar 

  110. Suwan K, Yata T, Waramit S, Przystal JM, Stoneham CA, Bentayebi K, et al. Next-generation of targeted AAVP vectors for systemic transgene delivery against cancer. Proc Natl Acad Sci USA. 2019;116(37):18571–7. https://doi.org/10.1073/pnas.1906653116.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Kingwell K. Bacteriophage therapies re-enter clinical trials. Nat Rev Drug Discov. 2015;14(8):515–6. https://doi.org/10.1038/nrd4695.

    Article  CAS  PubMed  Google Scholar 

  112. Costea PI, Coelho LP, Sunagawa S, Munch R, Huerta-Cepas J, Forslund K, et al. Subspecies in the global human gut microbiome. Mol Syst Biol. 2017;13(12):960. https://doi.org/10.15252/msb.20177589.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Wirbel J, Pyl PT, Kartal E, Zych K, Kashani A, Milanese A, et al. Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer. Nat Med. 2019;25(4):679–89. https://doi.org/10.1038/s41591-019-0406-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. Zhang X, Figeys D. Perspective and guidelines for metaproteomics in microbiome studies. J Proteome Res. 2019;18(6):2370–80. https://doi.org/10.1021/acs.jproteome.9b00054.

    Article  CAS  PubMed  Google Scholar 

  115. Lloyd-Price J, Arze C, Ananthakrishnan AN, Schirmer M, Avila-Pacheco J, Poon TW, et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature. 2019;569(7758):655–62. https://doi.org/10.1038/s41586-019-1237-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  116. Yimagou EK, Baudoin JP, Abdallah RA, Di Pinto F, Bou Khalil JY, Raoult D. Full-repertoire comparison of the microscopic objects composing the human gut microbiome with sequenced and cultured communities. J Microbiol. 2020;58(5):377–86. https://doi.org/10.1007/s12275-020-9365-3.

    Article  CAS  PubMed  Google Scholar 

  117. Haase S, Haghikia A, Wilck N, Müller DN, Linker RA. Impacts of microbiome metabolites on immune regulation and autoimmunity. Immunology. 2018;154(2):230–8. https://doi.org/10.1111/imm.12933.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Morrison DJ, Preston T. Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes. 2016;7(3):189–200. https://doi.org/10.1080/19490976.2015.1134082.

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by the following grants: National Natural Science Foundation of China (Grant No. 81871895), Young Taishan Scholars and Academic Promotion Program of Shandong First Medical University (Grant No. 2019RC003).

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  1. Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China

    Jing Liu, Chao Liu & Jinbo Yue

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Jing Liu collected published articles concerning radiotherapy and gut microbiome, reviewed and analyzed all articles and wrote the manuscript. Chao Liu collected published articles concerning radiotherapy and gut microbiome, reviewed and analyzed all articles. Jinbo Yue put forward the idea of the review, and revised the content of the article.

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Correspondence to Jinbo Yue.

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Liu, J., Liu, C. & Yue, J. Radiotherapy and the gut microbiome: facts and fiction. Radiat Oncol 16, 9 (2021). https://doi.org/10.1186/s13014-020-01735-9

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Radiation Oncology

ISSN: 1748-717X

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