Immune System, Microbiota, and Microbial Metabolites: The Unresolved Triad in Colorectal Cancer Microenvironment

1Colorectal cancer (CRC) is the third most common cancer in both sex worldwide with an estimated 1.8 million new cases and mortality rates in 2018 over 800,000. The vast majority of CRC cases are classified as sporadic and occur in average risk patients, with no family history or an apparent genetic predisposition demonstrated, mostly affecting people older than 50. However, heredity represents a significant cause of CRC, in which 20-30% are familial cases, with 5-10% linked to inherited variants in cancer-predisposing genes. The most common hereditary CRC is Lynch syndrome, accounting for 2-3% of cases, followed by familial adenomatous polyposis (FAP) responsible for 0.5-1% of cases, and other hereditary variants such as MUTYH-associated polyposis (MAP), Peutz-Jeghers syndrome, among others, represent <1% of cases.

2Diverse studies have highlighted the role of gut commensal microbiota in host physiology and diseases such as cancer by modulating the immune response, genetic damage, and apoptosis. The intestinal tract is an extensive surface in contact with lumen antigens, including more than 100 trillion microorganisms, predominating the phyla Firmicutes and Bacteroidetes. Accordingly, the mucosa has a complex immune system maintaining the homeostasis in steady conditions but swiftly responding to an insult. Additionally, alteration in the gut microbiota disrupts the epithelial barrier promoting inflammation and tumorigenesis-associated pathways.

3Cancer, rather than being formed by homogeneous malignant cells, contains a heterogeneous cell population, such as endothelial, stromal, and immune cells, secreting soluble signals (cytokines, chemokines, or growth factors), interacting with tumor cells, generating a favorable microenvironment to support tumor growth and progression. Moreover, tumor and microenvironment cells respond to signals from microbiota, regulating multiple host pathways related to carcinogenic processes, such as the induction of mutations in infected cells by a pathogenic E. coli strain or epithelial invasion by Fusobacterium nucleatum. Additionally, microbiota, through the production of metabolites, such as short-chain fatty acids (SCFAs) or polyamines, controls tumor cell function and microenvironment.

4Here we aim to review the role of tumor microenvironment components in sporadic and hereditary CRC, with an emphasis in interactions between microbiota, immune system, and diet-derived metabolites.

5The tumor microenvironment (TME) has a wide diversity of molecules and cell types, including immune cells, fibroblast, adipocytes, endothelial cell and microbiome. The immune system is particularly composed of innate immune cells such as neutrophils, macrophages, dendritic cells (DCs), mast cells and natural killer cells (NK), and adaptive immune cells such as T and B lymphocytes, participating in prevention and promotion of tumor development, having pro and anti-tumor functions.

6Immunosurveillance refers to the role of the immune system in recognizing antigens from transformed cells, thus generating memory and effector cells, which seek out and control generation of new tumor cells.

7Tumor cells undergo a selection process called immunoediting consisting of 3 stages: elimination, equilibrium, and escape. In the first phase, the antitumor immune response eliminates initiating tumor cells; the tumor then evolves into a static phase (equilibrium) in which some malignant cells avoid the immune response, without tumor elimination. Finally, the resistant clones manage to evade the immune system acquiring pro-tumorigenic properties and reducing their immunogenicity, allowing tumor development and clinical manifestations.

8Lymphocytes are key cells in the tumor microenvironment, and according to their profile have different functions in cancer progression: CD8+ T cells lyse tumor cells and release cytokines enhancing cytotoxic responses, such as IFNγ; CD4+ Th1 T cells release cytokines improving lymphocyte cytotoxic function; regulatory CD4+ T cells (Treg) are immunosuppressive cells, preventing chronic inflammation and maintaining immune tolerance, by suppressing effector T cell proliferation and activation. B cells recognize tumor antigens and produce specific antibodies against the tumor with the cooperation of helper T cells, decreasing tumor progression.

9Currently, the use of tumor infiltrated lymphocyte quantification to stratify patients and predict survival is rising, with a score system called Immunoscore™, based on the CD3+ CD8+ T cells and memory T (CD45RO+) density in CRC. Alternatively, high density of FOXP3+ cells has been described in CRC, even though the relation of FOXP3+ Treg with CRC prognosis is still controversial (favorable prognosis; poor prognosis. These differences can account for a heterogeneous FOXP3+ population, and not necessarily with a suppressor T cell phenotype therefore deeper studies on the function of infiltrating FOXP3+ subpopulations and their interaction with other cells of the tumor microenvironment are required to understand their role in CRC.

10NK cells eliminate tumor cells lacking major histocompatibility complex class I (MHC-I) expression, by Fas/FasL pathway, by releasing perforin and granzyme, or DCs and macrophages-activating cytokines. MHC-I loss of expression is a common alteration in CRC. However, CRC tissue shows low NK cell content compared to adjacent normal tissue, independent of MHC-I expression, proposing poor NK infiltration to the TME as a cancer evasion mechanism in immune surveillance. Non-classical MHC class I molecule expression avoid NK antitumor function, such as human leukocyte antigen HLA-E, binding to NK cell inhibitory receptors and suppressing cytotoxic activity in CRC. Furthermore, peripheral NK cells from CRC patients have a dysregulated phenotype with decreased cytotoxic function, thus allowing tumor cells dissemination.

11Tumor-associated macrophages (TAMs) are usually associated with M2-profile macrophages, possess immunosuppressive properties, promote tumor progression, and, M2-TAMs marker expression is a poor prognostic factor in CRC.

12Other essential cells in the tumor microenvironment are myeloid-derived suppressor cells (MDSCs), that probably through T reg cell induction, in addition to NK and T effector cell suppression, inhibit antitumor responses. In CRC their increase in both tumor and peripheral blood correlates with stage and metastasis, revealing their immunosuppressive activity.

13Additionally, tumor associated neutrophils (TAN) appear to be an important component of tumor-infiltrating cell populations in CRC. Indeed, high TAN content is associated with improved survival in CRC patients possibly indicating a positive response to 5-FU-based chemotherapy. Neutrophils in the tumor microenvironment can also promote anti-tumor responses mediated by macrophages or CD8+ T cells, although contradictory results have been reported in mouse models. In mice with inducible colon adenoma, T‐cell suppression is mediated by neutrophil‐secreted metalloproteinase activation, thus considered an immunosuppressive mechanism in CRC. Moreover, neutrophils promote hepatic metastasis growth and angiogenesis mediated by fibroblast growth factor 2 (FGF2). Additionally, in a model of colitis-associated colorectal cancer (CAC), an anti-neutrophil antibody reduced the number of tumors and intracolonic neutrophils infiltration along with MMP-9 mRNA expression, suggesting TANs promote tumor development.

14Contradictions between murine models and human sample data possibly associate with differing neutrophil functions and biology, along with tumor formation, as mice form faster and do not fully mirror human tumor development stages and cellular interactions. Consequently, this consideration should be taken with studies from murine-human models.

15There exists vast information regarding immunity in CRC, revealing a complex interaction between components of the immune system and the tumor. The immune system plays a double role, at the beginning and in the development of CRC, where immune-tumor interactions present opportunities for creating treatments preventing tumor development or improving current treatments.

16A healthy gut microbiome varies according to the high grade of interindividual differences, influenced by diet, lifestyle, age, gender, and geography. In 2018, the International Life Sciences Institute (ILSI) of North America workshop concluded that “mechanistic links of specific changes in gut microbiome structure with function or markers of human health are not yet established”. However, there is consensus that the healthy gut microbiome goes through a stable and resilient equilibrium state with high species diversity predominantly composed of Bacteroidetes, Firmicutes, and Actinobacteria, exhibiting differences in distribution between mucosal-to-luminal and proximal-to-distal. The gut microbiota is influenced by the birth mode, breastfeeding, gender (hormones), pregnancy, lifestyle (e.g. sedentary or sports practice), diet, age, among others. Furthermore, diet patterns enriched in animal protein/fat or carbohydrates are associated with Bacteroides and Prevotella enterotypes, respectively. The above was confirmed by the fecal microbiome characterization in healthy subjects (children and adults) from Amazonas of Venezuela, rural Malawi, and the US metropolitan area revealed prominent differences between age groups and between rural and urban cohorts.

17The first reports revealing CRC-associated dysbiosis date from 2011, which is related to the expansion of next generation sequencing (NGS) techniques and highlighting the overrepresentation of the anaerobic bacterium Fusobacterium nucleatum in CRC.

18CRC patient gut microbiota differs from healthy individuals, highlighting a reduced diversity at fecal and tumor levels, with the phyla Proteobacteria, Fusobacteria, and Lentisphaerae enrichment in fecal samples, and Firmicutes and Actinobacteria reduced. The bacterial genera Fusobacterium, Peptostreptococcus, Porphyromonas, Prevotella, Parvimonas, Bacteroides, and Gemella, are prominently enriched in CRC and in contrast, the genera Roseburia, Clostridium, Faecalibacterium and Bifidobacterium decreased.

19A metagenomics study of fecal samples from patients with CRC showed a stage-dependent microbiota variation, with some species increasing in abundance through tumor development (Fusobacterium nucleatum, Solobacterium moorei, Peptostreptococcus stomatis, Peptostreptococcus anaerobius, Lactobacillus sanfranciscensis, Parvimonas micra and Gemella morbillorum), and some species stage-specific. The Atopobium parvulum, Actinomyces odontolyticus, Desulfovibrio longreachensis and Phascolarctobacterium succinatutens species increased only in early stage S0, in contrast, Colinsella aerofaciens, Porphyromonas uenonis and Dorea longicatena increased only in late stages III/IV. Similar studies with tissue samples demonstrated that early stages have an enrichment of Fusobacterium, Leptotrichia, Gemella and Parvimonas, and reduction of Blautia and Bacteroides. Furthermore, in CRC pre-tumor lesions an enrichment of Pseudomonas veronii and E. coli exists, suggesting these species have oncogenic potential.

20A reduction of some bacterial species during gut tumorigenesis has also been reported. One example is Faecalibaculum rodentium and its human equivalent Holdemanella biformis belonging to the Erysipelotrichaceae family, showing a reduced fecal content in early phases of tumorigenesis from ApcMin/+ model and patients with large colorectal adenoma, respectively. These bacteria block tumor proliferation by mediating the production of SCFAs (see later in Short-Chain Fatty Acids (SCFAs) section), (especially butyrate) inhibiting HDAC in adenomas, by increasing H3 histone acetylation and downmodulating the calcineurin-NFATc3 pathway. Additionally, gut microbiota relates to tumor immune cell infiltration, where specific bacteria genera, such as Alloprevotella, Treponema, and Desulfovibrio, are enriched in tumors with high T cell marker (CD3) content and accompany prolonged CRC patient survival. Whereas, Prevotella, Bacteroides, and Fretibacterium, are overrepresented in CD3 low tumors by regulating chemokine expression from tumor cells.

21All these antecedents suggest that intestinal microbiota can give both beneficial and adverse effects on gut physiology contributing to health or disease susceptibility. This may therefore lead to novel strategies enriching specific kinds of bacteria or metabolite production favoring anti-tumor immune cell recruitment or tumor proliferation blocking.

22The evidence of the microbiota role in cancer development of hereditary CRC patients is scarce.

23In the inherited condition FAP (caused mainly by a germline mutation of the APC tumor suppressor gene), intestinal mucosa with precursor lesions (polyps) presents bacterial biofilms composed predominantly by pks+ Escherichia coli and enterotoxigenic Bacteroides fragilis. Additionally, co-colonization of both bacteria in a CRC murine model accelerates tumor development and increased mortality (associated with high IL-17 levels and DNA damage), suggesting pks+ Escherichia coli and enterotoxigenic Bacteroides fragilis act as protumorigenic bacteria in early colonic tumor development in genetically susceptible patients.

24Fecal microbial patterns demonstrate that FAP patients carrying pathogenic APC mutations showing increased abundance of Fusobacterium mortiferum and a decreased representation of Faecalibacterium prausnitzii and Bifidofacterium pseudocatenulatur, compared to patients without an identified mutation. Moreover, increased seric metabolites (R)-3-Hydroxybutryric acid and 2-Hydroxyphenethylamine exists in patients carrying APC mutation, together with lower levels of 7-Ketocholesterol, DL-lactate, L-Pyroglutamic acid. Among other relationships, a positive correlation between Faecalibacterium prausnitzii and cortisol exists; however, more evidence is needed to clarify the association between metabolites and gut microbiota.

25In characterizing Lynch syndrome patients’ microbiome, an fecal over-representation of Faecalibacterium prausnitzii, Parabacteroides distasonis, Ruminococcus bromii, Bacteroides plebeius, Bacteroides fragilis and Bacteroides uniformis was identified in both postoperative LS female patients with colorectal syndrome or LS extracolonic cancer, however distinct to controls. Microbiota’s role in early stages of carcinogenesis, was prospectively evaluated in fecal and mucosa samples from LS patients (carriers of pathogenic germline MMR mutation) and demonstrated: 1) colectomy and CRC history has the largest effect on microbiome profiles; 2) microbial changes are similar in Lynch adenoma and CRC; 3) fecal microbial transcriptional activity is a weak predictor of adenomas development. Although microbiome monitoring does not appear to be effective in early prediction of adenomas, the possibility exists of early microbiota changes in LS neoplasia.

26Bacteria are involved in colorectal carcinogenesis through pathomechanisms such as: tissue invasion, local immune response modulation and metabolites or toxins secretion ( Table 1 ). The most relevant CRC-associated bacteria are Fusobacterium nucleatum, Peptostreptococcus ssp., Porphyromonas ssp., Prevotella intermedia, Parvimonas micra, Bacteroides fragilis and Gemella morbillorum.

27Next, the role of pks+ Escherichia coli and Fusobacterium nucleatum is clarified in colorectal cancer, both being examples of bacteria thoroughly studied with mechanisms associated to CRC carcinogenesis.

28E. coli is a commensal organism widely distributed along the gut, comprised by four phylogenetic groups (A, B1, B2 and D), with strains possibly linked to CRC as they produce inflammation and secrete toxins, such as cyclomodulins (toxins interfering with the eukaryotic cell cycle). Among them, colibactin, is synthesized by 19 encoded genes within the 54-kilobase genomic island polyketide synthase (pks), and relevantly pks+ E. coli are abundant in CRC and IBD patients.

29Azoxymethane (AOM) administered to IL10-/- germ-free mice colonized with pks+ E. coli or E. faecalis induces aggressive inflammation; however, only pks+ E. coli developed invasive adenocarcinoma, demonstrating that E. coli-specific factors promote colitis-associated cancer, as colibactin induces DNA double-strand breaks and chromosomal instability in human cells. Additionally, prolonged exposure to pks+ E. coli in human intestinal organoids induces a DNA mutational signature characterized by random single-base substitutions, deletions and insertions ( Figure 1 ).

30Decreased tumor-infiltrating lymphocytes (TILs) in the invasive CRC margin is associated with pks+ E. coli. Moreover, APCMin/+ mice exposed to colibactin-producing E. coli exhibit more polyps and decreased CD3+ CD8+ T-cells than noninfected animals or infected with pks-lacking E. coli strains, suggesting colibactin induces a carcinogenic microenvironment.

31Interestingly, microbial diversity is altered in mice receiving pks+ E. coli strain compared to non genotoxic-strain exposed mice, suggesting colibactin exert a direct effect on gut microbiota, additional to its other host effects.

32Fusobacteria are a Gram-negative anaerobic bacilli, with Fusobacterium nucleatum a component of oral microbiota; although associated with oral, extraoral diseases, and colorectal adenomas and adenocarcinoma. Although detection rates of F. nucleatum in CRC patients differ widely due to methods used and samples analyzed correlation between bacteria abundance and poor cancer-specific survival or lymph node metastasis have been described, and is suggested as a prognostic marker.

33F. nucleatum participates in carcinogenic processes through virulent factors ( Figure 2 ), highlighting the adhesion protein FadA and the autotransporter protein Fap2. FadA allows bacteria attachment and invasion of E-cadherin-expressing cells and induction of human CRC cell proliferation in a FadA-dependent ß-catenin signaling activation and proinflammatory response associated with NF-kB2 upregulation. Another FadA function is vascular endothelial VE-cadherin removal from cell-cell junctions, increasing endothelial cell permeability, thus allowing bacteria to cross junctions.

34Additionally, F. nucleatum invasion promotes a proinflammatory response mediated by p38 or MAPK signaling in HEK293T cells, and mediated by ROS in Caco-2 cell line, both pathways involved in early tumorigenesis. Indeed, bacterium abundance is positively correlated to local cytokine gene expression, such as TNFα and IL10, in colorectal adenomas. In APCMin/+ mouse model, F. nucleatum exacerbates tumorigenesis and recruits tumor-infiltrating myeloid cells (granulocytes, macrophages, DCs, and MDSCs), and shares a proinflammatory signature with Fusobacterium-associated human colorectal cancer, suggesting these bacteria promotes a tumor microenvironment favoring neoplasia progression. F. nucleatum content inversely correlates with CD3+ T cells density in tumor, showing modulation of immune response is another disease mechanism. Additionally, F. nucleatum is associated to immune evasion in cancer, avoiding NK-mediated tumor cell lysis via FAP2 interaction with the inhibitory NK-receptor TIGIT.

35F. nucleatum is associated with a high degree of microsatellite instability (MSI-high) and CpG island methylator phenotype in colorectal carcinoma, suggesting that this bacteria is involved in a molecular specific CRC subtype. MSI-high CRCs tumors with high F. nucleatum load are more invasive, show low FOXP3+ density and elevated CD163+ cells (M2 macrophages), supporting the bacterial pro-tumoral role.

36F. nucleatum is more abundant in CRC tissues in patients with recurrence post-chemotherapy, associated with TLR4/MyD88 signaling blocking and microRNAs (miRNA-4802 and miRNA-18a*) activating the autophagy pathway in response to chemotherapy. Moreover, F. nucleatum appears in distal metastases, demonstrating microbiota stability between primary tumors and metastasis. Likewise, mouse xenograft models retain viable F. nucleatum through successive passages, while metronidazole treatment reduces bacterial load, cancer cell proliferation and tumor growth. In summary, F. nucleatum induces tumorigenesis through several mechanisms including epithelial cell adhesion and tumor microenvironment modulation, becoming an attractive CRC prognosis biomarker.

37Gut bacteria modulates the host biology through direct cell interaction, as well as microbial-derived metabolites. Therefore, we focus on the role of SCFAs and Polyamines and their functional impact on colon carcinogenesis and TME, illustrating microbiota–metabolite–cell interactions.

38Microbiota communicates with the host through the generation of metabolites, being the most well-studied the short-chain fatty acids (SCFAs), including acetate, propionate, and butyrate, corresponding to fermentation products of complex polysaccharides, such as starches and fiber. The Bacteroidetes phylum mainly produces acetate and propionate, whereas the Firmicutes phylum butyrate.

39SCFAs are produced in the colon and absorbed into the bloodstream to be delivered to target tissues, with host cells responding to SCFAs through receptors (GPR41/FFAR3, GPR43/FFAR2, GPR109A/HCAR2) or transporters (MCT1/SLC16A1, SMCT1/SLC5A8). Butyrate is relevant in intestinal function being the primary energy source for colonocytes, corresponding to about 70% of total energy consumption.

40Administration of SCFAs mixture restores intestinal epithelial cell turnover in antibiotic-treated SPF mice, previously having reduced amounts of acetate, propionate, and butyrate, demonstrating that SCFAs are essential in maintaining intestinal homeostasis. Accordingly, butyrate enhances M2-macrophage polarization, inhibits lipopolysaccharide (LPS)-induced proinflammatory cytokine expression in dendritic cells and lamina propria (LP) mouse macrophages, and increases Treg lymphocytes in a murine model.

41Intestinal microbiota imbalance possibly relates to changes in SCFAs levels and loss of gut homeostasis. Patients with CRC and adenoma have reduced SCFAs stool levels, possibly related to reduced butyrate-producing bacteria such as Bacteroides vulgaris, Bacteroides uniformis, Roseburia, and the Lachnospiracea family.

42Additionally, decreased butyrate receptors GPR109A and GPR43 content in colon cancer samples suggests variations of microbiota or substrate impact on receptor expression on normal epithelial or transformed cells. Butyrate and propionate, but not acetate, induces crypt proliferation obtained from healthy cecal biopsies ex vivo, although, butyrate inhibits cell growth and induces colon adenoma and carcinoma cell apoptosis. These butyrate roles are associated with the Warburg effect ( Figure 3 ), where butyrate generates energy by metabolizing to acetyl-CoA via the Krebs cycle in the normal colonocyte. However, anaerobic glycolysis is the primary energy source in cancerous colonocytes, and butyrate is available to modulate gene expression through Histone deacetylase (HDAC) inhibition and interrupting cell cycle thus demonstrating how a metabolite differentially affects a cell according to its metabolic activity.

43Other butyrate antitumoral effects are inhibition of epithelial-mesenchymal transition, cell proliferation, and migration in colon cancer cell lines, mediated by increased ROS levels associated with the small redox protein Thioredoxin-1 (Trx-1) downregulation, suggesting sodium butyrate exerts its role through Trx-1 downregulation, becoming a possible therapeutic target.

44Generally, butyrate inhibits inflammation and carcinogenesis, reducing NF-kB and Wnt signaling, both active pathways in CRC. Additionally, LPS-induced proinflammatory markers and chemokines, including CCL3 in dendritic cells is reduced after butyrate treatment, suggesting butyrate influences tumor microenvironment and tumor progression.

45Polyamines are organic polycations involved in cell proliferation and differentiation, tissue repair, apoptosis, angiogenesis, immune response, signal transduction, and gene expression. The principal polyamines are putrescine, spermidine, spermine, and cadaverine, participating in gut barrier function and epithelial turnover. Factors such as biosynthesis, catabolism, and transport finely control intracellular polyamines levels, maintaining a total concentration at the mM range, with free spermidine and spermine intracellular concentration corresponding respectively to 7-15% and 2-5% of the total.

46Polyamines derive from endogenous synthesis, diet, and gut microbiota metabolism of amino-acids such as ornithine, methionine, and arginine, suggesting that diet influences its levels. The first step in polyamine synthesis is ornithine decarboxylation into putrescine, by Ornithine decarboxylase (ODC), with oncogenes such as Myc transcriptionally regulating ODC content and activity increased in cancer. Altered polyamine levels are related to cancer, with increased levels in CRC, possibly by uptake pathway and enzymatic synthesis induction.

47Spermidine directly affects colibactin toxin synthesis by E. coli strains, suggesting a role of spermidine in bacterial pathogenicity and carcinogenesis. Polyamine levels increase throughout tumor development in the APCMin/+ murine CRC model, demonstrating dysregulation of its metabolic pathway could be involved in CRC development. Additionally, biofilms formation in colon cancer increases polyamine metabolites, suggesting polyamines produced by biofilm bacteria or the host, enhance tumor development. Moreover, fecal metabolomic analysis demonstrated increased amino-acids and polyamines, principally cadaverine and putrescine in CRC patients.

48Regarding the immune response, polyamines are essential for B and T cells’ activation, synthesis being required to induce cytotoxic activity and T-cell proliferation in vitro and in vivo, However, polyamines possibly have opposing roles depending on their concentrations, since increased levels in CRC interfere with anti-tumor immune function, associated to decreased adhesion molecule expression, such as CD44 and LFA-1 and reduced cytokine production, such as IFN-γ and TNF, contributing to TME immunosuppression. Polyamine blocking therapy (PBT) targeting their synthesis and transport activates adaptive-dependent antitumor immune response in murine models, characterized by increased proinflammatory cytokine production, cytotoxic CD8+ T cell function, and decreased immunosuppressive cell levels. Consequently, increased tumor cell apoptosis leads to decreased tumor growth, indicating that blocking polyamines signaling could generate an anti-tumor immune memory and effector response, conferring protection against tumors. Moreover, polyamines inhibit macrophage polarization toward a proinflammatory M1 phenotype through ODC enzyme-dependent putrescine synthesis altering chromatin structure and preventing inflammatory gene transcription, thereby affecting anti-tumor responses.

49Polyamines anti-inflammatory properties contribute to TME immunosuppression, ( Figure 4 ), with PBT effective in inhibiting tumorigenesis, and dietary polyamine supplementation possibly benefiting aging-associated diseases. In TAMs, spermidine favors M1 polarization while spermine favors M2, suggesting each polyamine having a unique role in normal and tumoral cells, although, exogenous spermidine treatment inhibits endogenous polyamines accumulation, tumor cell growth and promotes autophagy-mediated apoptosis. Furthermore, spermine-modified pullulan reduces immunosuppressive TME, contributing to inhibiting both tumor progression and metastasis. As mentioned above, endogenous polyamines could increase tumorigenesis, therefore endogenous synthesis inhibition, triggered by exogenous polyamines intake, could be a beneficial cancer treatment regulating polyamine metabolism with similar effects to PBT in the TME.

50Further investigation is merited on the complex interaction between polyamine metabolism and cancer, as their targeting undoubtedly offers promising results. In conclusion, polyamines are metabolites related to microbiota and carcinogenesis, substantially contributing to TME immunosuppression, and are becoming potential therapeutic targets in CRC. Additionally, exogenous polyamine supplements could be very beneficial in combination with conventional cancer treatments.

51In 1971, Denis P. Burkitt analyzed the relation between bowel cancer frequency and fiber intake by different populations, highlighting notable differences between Western diet, where bowel cancer is more prevalent than less-developed communities. The proportion of ingested unabsorbable fiber and refined carbohydrate suggested that the diet in developed countries affected intestinal transit time, stool consistency, and bacterial microbiota-related to cancer incidence.

52Furthermore, when comparing gut microbiota and metabolites in fecal samples from African Americans vs. native Africans, differences were found. Native Africans showed more abundant total bacteria, including starch fermenters and butyrate producers, along with higher SCFAs levels. In contrast, African Americans showed a higher abundance of microbial genes encoding for secondary bile acid production, generally associated with carcinogenic properties. African Americans diet is based on higher consumption of meat and fat, with lower consumption of fiber and less complex carbohydrate, thus suggesting the dietary influence in the production of beneficial or potentially carcinogenic metabolites.

53Diet directly influences intestinal microbiota composition and metabolic activity, contributing to growing chronic diseases in the developed world, including obesity, cardiovascular disease, IBD, and cancer. The high fat and high sugar (HF/HS) western diet have crucial implications on CRC; with a higher risk associated with red meat intake, opposed to high dietary fiber intake decreasing CRC risk. Additionally, diet-induced intestinal inflammation (based on high plasma IL6, CRP, and TNFRSF1B levels) is associated with F. nucleatum-containing colorectal carcinoma in patients, indicating that diet alters microbiota balance.

54The HF/HS diet in a mouse model induced intestinal inflammation and dysbiosis with an increase of Proteobacteria, such as E. coli, and decreased protective bacteria and SCFA levels. Furthermore, this diet gut abolishes SCFA effects on host chromatin states (histone acetylation and methylation) in colon, and extraintestinal tissues, such as liver and white adipose tissue. Interestingly, SCFA supplementation in germ-free mice recovers homeostatic epigenetic regulation associated with gut colonization.

55Dietary interventions have potential effects in CRC prevention or treatment, as an adjuvant therapy. In healthy individuals, non-digestible carbohydrate (substrate for SCFA production)-enriched diets (whole grain rye flour bread/rye kernels bread + resistant starch), or cooked barley kernels showed beneficial effects as: a) decreased glucose and postprandial insulin levels, b) reduce concentration of IL-6 and TNF-α, and c) increased satiety-inducing intestinal hormone PYY levels, evidencing a potential preventive effect of fiber supplementation in decreasing intestinal inflammation.

56Studies of microbial interventions, using probiotics, were beneficial for CRC treatment (e.g. reducing F. nucleatum), together with a combination of physical activity and improved dietary habits (e.g. reduction of red and processed meat or refined grain intake) in CRC survivors. Protocols defining the beneficial impacts of diet and physical activity in CRC patients during and after conventional therapies, and in the prevention of recurrence in CRC survivors will confer benefits and should be further explored.

57Considering the evidence of the influence of the diet in protecting and decreasing the risk of cancer, the 4th edition of the European Code against Cancer recommends that “people have a healthy diet to reduce their risk of cancer: eating plenty of whole grains, pulses, vegetables and fruits; limit high-calorie foods (high in sugar or fat); avoid sugary drinks and processed meat; and limit red meat and foods high in salt”.

58In health, microbiota participates in functions such as immunity regulation, digestion, and nutrition. As dysbiosis has been associated with diverse pathologies including CRC, microbiota could play a role in carcinogenesis, as previously demonstrated.

59The immune system, microbiota and their metabolites participate in the carcinogenic process, acting differently in each tumor development stage. In sporadic CRC, specific strains have been involved in its initiation and development. Specifically, carcinogenic effects of synthesized toxins and virulence factors from pks+ E. coli and F. nucleatum, cause DNA damage, increased epithelial cell proliferation, and immune system modulation, thus altering the microenvironment favoring tumorigenesis. Moreover, hereditary CRC reflects dysbiosis, suggesting microbiota changes during CRC progression occur in genetically susceptible subjects.

60Some diet and microbiota metabolites associated with CRC, such as SCFAs and Polyamines, directly affect tumors and TME cells, thus becoming potential therapeutic targets.

61Diet modifications, such as increasing dietary fiber intake help reduce the risk of developing CRC. In CRC animal models, prebiotics (oligofructose-maltrodextrin) in combination with probiotics (Lactobacillus acidophilus, Bifidobacteria bifidum) appears beneficial, reducing tumor growth and potentially carcinogenic bacteria, while increasing butyrate concentration and NK and NKT cell number.

62Natural compounds, such as curcumin, genistein (an isoflavone found in soybeans) and apigenin (present in fruits and vegetables) possibly reduce aberrant crypt foci numbers, increasing intestinal T and B cells, and reducing ODC activity and polyamine levels in CRC cell lines.

63Due to polyamines and their metabolites participating in cell proliferation, they become interesting therapeutic targets for clinical intervention of CRC. As the use of nonsteroidal anti-inflammatory Sulindac plus DMFO (an inhibitor of polyamine biosynthesis) in patients reduces adenoma recurrence, PBT would be a promising antitumor response alternative. Alternatively, nanoparticles conjugated with a polyamine analog, which increase polyamine catabolism, are a possible innovative intervention, as they induce HCT116 cell apoptosis in vitro and inhibit xenograft tumor growth.

64Another option in CRC carcinogenesis is blocking-cytokine antibodies, since IL-17 and IL-23 receptor blockade inhibits colorectal tumor formation.

65Lastly, phages are novel interventions, selectively killing potentially carcinogenic bacteria, such as F. nucleatum in APCMin/+ mice, and revert chemotherapy resistance in CRC cell lines.

66The above therapies demonstrate a vital relationship between the microbiota, metabolites, and the immune system, highlighting the relevance of studies evaluating their interaction, and offering great potential in CRC prevention and treatment. However, more clinical trials are needed to verify their efficacy and safety.

67Additional to local properties in the intestinal mucosa, the gut microbiome systemically modulate other organs. Likewise, gut dysbiosis has been related to obesity, allergy and extra-intestinal cancer, such as lung and pancreatic adenocarcinoma. Enrichment of phylum Proteobacteria is seen as a common hallmark in diverse cancer types, as well as a potential diagnostic dysbiosis signature and chronic metabolic disease risk, such as Type 2 diabetes mellitus and cancer.

68Another extra-intestinal effect of gut microbiota, is seen in the gut-lung axis, where SCFAs modulate the immune system and are positively associated with immunotherapy response in lung cancer patients. Alternatively, the gut microbiota colonizing pancreatic tumors modulate tumor growth, immune responses and thus influence patient outcome. Therefore, the modulation of the intestinal microbiota is an interesting target to control other pathologies, not only limited to the intestine.

69As can be seen from the above, delving deeper into the interactions between metabolites, the immune system, and microbiota in CRC and other pathologies, will elucidate novel therapeutic targets. Accordingly, approaches such as diet modifications, supplementation with metabolites, specific antibiotics, immune system modulation for anti-tumor response are suitable and applicable resolutions.

70MH and MF wrote most of the review. DP-V and GL contributed to writing and correcting the manuscript. AW, CH, KA, MAH, and FL-K participated reviewing and critically correcting the manuscript. FL-K and MF contributed to manuscript structure and supervised the work. All authors contributed to the article and approved the submitted version.

71National Agency of Research and Development (ANID) (Fondecyt iniciación #11190990).

72The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.