Inflammation and microbiota are critical components of intestinal tumorigenesis. To dissect how the microbiota contributes to tumor distribution, we generated germ-free (GF) ApcMin/+and ApcMin/+;Il10−/− mice and exposed them to specific-pathogen-free (SPF) or colorectal cancer-associated bacteria. We found that colon tumorigenesis significantly correlated with inflammation in SPF-housed ApcMin/+;Il10−/−, but not in ApcMin/+mice. In contrast, small intestinal neoplasia development significantly correlated with age in both ApcMin/+;Il10−/− and ApcMin/+ mice. GF ApcMin/+;Il10−/− mice conventionalized by an SPF microbiota had significantly more colon tumors compared with GF mice. Gnotobiotic studies revealed that while Fusobacterium nucleatum clinical isolates with FadA and Fap2 adhesins failed to induce inflammation and tumorigenesis, pks+Escherichia coli promoted tumorigenesis in the ApcMin/+;Il10−/− model in a colibactin-dependent manner, suggesting colibactin is a driver of carcinogenesis. Our results suggest a distinct etiology of cancers in different locations of the gut, where colon cancer is primarily driven by inflammation and the microbiome, while age is a driving force for small intestine cancer. Cancer Res; 77(10); 2620–32. ©2017 AACR.

Colorectal cancer, the third most common type of malignancy and the third leading cause of cancer-related deaths in the United States (1), involves both genetic and environmental factors. Among the genomic changes associated with colorectal cancers, loss-of-function mutations in the Apc (adenomatous polyposis coli) gene, a regulator of the WNT signaling pathway, are the most prevalent and are considered the initiating event in approximately 80% of colorectal cancers (2). Of the environmental factors, the gut microbiota is increasingly appreciated as a key player in colorectal cancer pathogenesis. Colorectal cancer patients often carry a distinct microbiota from the healthy population (3). Microbes can modulate colorectal cancer development directly by generating genotoxins, or indirectly and more commonly by mediating inflammatory and immune responses (4, 5). Inflammation is not only a hallmark of colorectal cancer (5), but also an established risk factor for colorectal cancer as supported by epidemiological data from individuals with inflammatory bowel diseases (6).

While human studies provide valuable correlation data on colorectal cancer, much of the mechanistic insight into the disease etiology is obtained from mouse models. Mouse colorectal cancer models can be categorized into two classes: spontaneous and chemical induced (7). Spontaneous colorectal cancer mice carry mutations in genes frequently mutated in human colorectal cancers. The multiple intestinal neoplasia (Min) mouse (referred to as ApcMin/+ hereafter), a commonly used animal model of intestinal carcinogenesis, carries a point mutation in one allele of the Apc gene and is susceptible to spontaneous intestinal adenoma formation, although predominantly in the small bowel, without exhibiting chronic intestinal inflammation (8). A general protumorigenic role for the microbiota was demonstrated in the ApcMin/+ model, as the mice display reduced tumor load in the small and/or large intestine when derived under germ-free (GF) conditions (9, 10). Noticeably, inflammation also enhances development of colon cancer in this model, as seen with the use of dextran sulfate sodium (DSS; ref. 11), by specifically deleting the Apc gene in epithelial cells (12), and by genetically introducing defective IL10 signaling (13–15). Inflammation and colonic polyposis in mice with Apc deficiency and T cell–specific deletion of Il10, ApcΔ468;CD4CreIl10f/f mice can be attenuated by antibiotic treatment (14), suggesting that microbiota-driven inflammation underlies colitis-associated colorectal cancer.

The mechanisms by which microbes have been shown to promote development of colorectal cancer are diverse and somewhat specific to each microorganism. For example, enterotoxigenic Bacteroides fragilis promotes colorectal cancer through induction of the Th17 response (16), polyketide synthase (pks)+ island carrying E. coli via production of the genotoxin colibactin (17), and Fusobacterium nucleatum adhesins that either bind E-cadherin to promote tumor growth (FadA) or promote immune invasion and localization to tumors (Fap2; refs. 18–20). Although genetics, inflammation, and microbes play a role in promoting intestinal carcinogenesis in preclinical models, it is unclear how these factors interact and how much each contributes to promotion of colorectal cancer.

To stringently evaluate the relationship between genetic susceptibility to inflammation, microbial status, and cancer, we utilized specific-pathogen-free (SPF) and gnotobiotic ApcMin/+and ApcMin/+;Il10−/− mice. In this study, we found that inflammation and the microbiota is essential for colorectal but not small intestinal neoplasia in SPF ApcMin/+;Il10−/− mice. We also demonstrated that colorectal cancer-associated bacteria have differential abilities to promote colorectal cancer with colibactin-producing E. coli, but not F. nucleatum, inducing colon tumors in ApcMin/+;Il10−/− mice.

Animals

The University of Florida Institutional Animal Care and Use Committee approved all animal experiments (Protocol #201308038). 129/SvEv ApcMin/+ mice were derived GF and crossed to GF 129/SVEv Il10−/− mice to generate GF ApcMin/+;Il10−/− mice. GF ApcMin/+;Il10−/− and ApcMin/+ mice were transferred to the SPF breeding suite and bred for 2 to 3 generations. SPF ApcMin/+;Il10−/− and ApcMin/+ mice were either transferred to an SPF housing suite after weaning or remained in the breeding suite, mice transferred to the SPF housing suite were sacrificed at 12, 16, and 20 weeks of age. SPF ApcMin/+;Il10−/− and ApcMin/+ mice older than 20 weeks were retired breeders from the SPF breeding suite.

Bacterial strains and culture conditions

F. nucleatum strains were provided by Dr. Emma Allen-Vercoe (University of Guelph), including the inflammatory bowel disease clinical isolate EAVG_016, and colorectal cancer isolates CC53, CC7/3JVN3C1, CC7/5JVN1A4, CC2/3Fmu1, CC2/3FmuA, and CC7/4Fmu3 (used for the 20-week colonization experiment in ApcMin/+ mice). E. coli NC101 or NC101 ΔclbP were cultured from glycerol stocks in LB broth, then diluted 1:10 in fresh LB medium and cultured at 37°C before harvesting for gavage. F. nucleatum strains were cultured in Brain Heart Infusion Broth (BHI; AS-872, Anaerobe Systems) statically at 37°C in an anaerobic chamber (type B Vinyl, Coy Laboratory). Enumeration of F. nucleatum was done by anaerobically plating serial dilutions of culture or fecal materials on fastidious anaerobic agar supplemented with 5% sheep blood.

PCR detection of F. nucleatum adhesins

All F. nucleatum strains were screened for the FadA and Fap2 adhesins by PCR using the following primers: Fn 16S_F GGATTTATTGGGCGTAAAGC; Fn 16S_R, GGCATTCCTACAAATATCTACGAA; fadA_F CAAATCAAGAAGAAGCAAGATTCAAT; fadA_R, GCTTGAAGTCTTTGAGCTCT (18); fap2_F, AGCCTCTGAGGGTACAAGGT; fap2_R, TGAGCCCCTCCTTCTTCTGA. The screening revealed 4 F. nucleatum colorectal cancer isolate strains were fadA+, fap2, and 2 were fadA+, fap2+ (Supplementary Fig. S1).

E. coli NC101 clbP mutation

Inactivation of gene clbP was performed by using the lambda Red recombinase method (21) using primers clbP-P1 (TTCCGCTATGTGCGCTTTGGCGCAAGAACATGAGCCTATCGGGGCGCAAgtgtaggctggagctgcttc) and clbP-P2 (GTATACCCGGTGCGACATAGAGCATGGCGGCCACGAGCCCAGGAACCGCCcatatgaatatcctccttag). The allelic exchange was confirmed by PCR using primers IHAPJPN29 and IHAPJPN30 (22).

SPF microbiota preparation

Cecal and fecal contents were collected from wild-type 129/SvEv mice that were housed under SPF conditions in the animal facility at the University of Florida. One gram of the contents was suspended in 10 mL sterile PBS, broken down using pipette tips, and vortexed. After settling for 2 minutes, the supernatant was transferred to a new tube, mixed with equal volume of sterile 20% glycerol, and frozen at –80°C.

Mouse colonization

Seven- to 12-week GF ApcMin/+ and ApcMin/+;Il10−/− were transferred to SPF conditions or gnotobiotic isolators as described above. SPF stock microbiota was diluted 1:106 and 200 μL of this mixture was gavaged to each mouse. E. coli NC101 or NC101 ΔclbP was gavaged at 108 CFU/mouse. For AOM/Il10−/− experiments, mice received 6 weekly intraperitoneal AOM (A5486, Sigma) injections (10 mg/kg) starting 1 week post monoassociation with E. coli and mice were sacrificed 20 weeks post monoassociation. F. nucleatum was gavaged at 108 CFU/mouse when a single strain was used, or 108 CFU per strain per mouse when a mixture of strains were used. BHI medium weekly gavaged mice were used as control for F. nucleatum experiments.

Mice were euthanized at indicated time points. The small intestine, cecum, and colon were cut open longitudinally and macroscopic tumors were counted. About 1 × 0.5 cm snips were taken from the proximal and distal colon, flash frozen in liquid nitrogen, and stored at −80°C until analysis. The rest of the colon was Swiss rolled and fixed in 10% neutral buffered formalin solution. Swiss rolls were processed, paraffin-embedded, sectioned and hematoxylin and eosin stained by the Molecular Pathology Core at the University of Florida. Histological scoring of inflammation was performed blindly as described previously (17) and calculated as the average between the proximal and distal colon region scores.

IHC

IHC was performed as described previously (17). Briefly, Swiss roll sections were deparaffinized, rehydrated, and boiled in 10 mmol/L citrate buffer for antigen retrieval. For CTNBB1, the mouse anti-CTNNB1 antibody (1:300 overnight; 6101503, BD Transduction Laboratories) and mouse on mouse (M.O.M.) peroxidase kit (PK-2200, Vector Labs) were used. For PCNA, sections were blocked with 1% BSA, incubated with anti-PCNA clone PC10 (M087901-2, Dako) mouse monoclonal antibody (1:300, 30 minutes), followed by 1:1,000 goat anti-mouse biotin secondary antibody (31800 Fisher), and then incubated with streptavidin–horseradish peroxidase (18–152, Millipore). Liquid DAB+ (K3467, Dako) was used according to the manufacturer's instructions for development.

Fecal DNA extraction and 16S qPCR

DNA was extracted using phenol:chloroform separation followed by the DNeasy Blood and Tissue Kit (69506, Qiagen). qPCR was performed on the CFX384 Touch Real-Time PCR Detection System (1855485, Bio-Rad) using the SsoAdvanced Universal SYBR Green Supermix (1725274, Bio-Rad). The following primers were used: Fuso_F GGATTTATTGGGCGTAAAGC, Fuso_R GGCATTCCTACAAATATCTACGAA; and Eubacteria_F GGTGAATACGTTCCCGG, Eubacteria_R TACGGCTACCTTGTTACGACTT.

16S rRNA sequencing

The V1–V3 region hypervariable region of the 16S rRNA gene was amplified using primer pair 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) and 534R (5′-ATTACCGCGGCTGCTGG-3′). Both the forward and the reverse primers contained universal Illumina paired-end adapter sequences, as well as unique individual 4 to 6 nucleotide barcodes between PCR primer sequence and the Illumina adapter sequence to allow multiplex sequencing (Supplementary Table S1). PCR products were visualized on an agarose gel, before samples were purified using the Agencourt AMPure XP kit (A63881, Beckman Coulter) and quantified by qPCR with the KAPA Library Quantification Kit (KK4824, KAPA Biosystems). Equimolar amount of samples was then pooled and sequenced with an Illumina MiSeq. See Supplementary Data for description of 16S rRNA sequencing analysis.

qPCR examination of inflammatory cytokines

RNA was extracted from frozen tissue snips using TRIzol reagent followed by phenol:chloroform separation. After DNA removal using the Turbo DNA-free Kit (AM1907, Ambion), 10 to 1,000 ng of RNA was used for cDNA synthesis using the iScript cDNA Synthesis Kit (1708891, Bio-Rad).

qPCR was performed on the CFX384 Touch Real-Time PCR Detection System (1855485, Bio-Rad) using the SsoAdvanced Universal SYBR Green Supermix (1725274, Bio-Rad). The following primers were used: IL6_F CGGAGGCTTGGTTACACATGTT, IL6_R CTGGCTTTGTCTTTCTTGTTATC; TNFα_F ATGAGCACAGAAAGCATGATC, TNFα_R TACAGGCTTGTCACTCGAATT; IFNγ_F ACGCTTATGTTGTTGCTGATGG, IFNγ_R CTTCCTCATGGCTGTTTCTGG; IL1β_F GCCCATCCTCTGTGACTCAT, IL1β_R AGGCCACGGTATTTTGTCG; IL17A_F GCCCTCAGACTACCTCAACC, IL17A_R ACACCCACCAGCATCTTCTC; IL22_F CATGCAGGAGGTGGTGCCTT, IL22_R CAGACGCAAGCATTTCTCAG; 36B4_F TCCAGGCTTTGGGCATCA, 36B4_R CTTTATTCAGCTGCACATCACTCAGA; and GUSB_F CCGATTATCCAGAGCGAGTATG, GUSB_R CTCAGCGGTGACTGGTTCG. 36B4 and Gusb were used as references. Relative fold gene expression was calculated using the delta delta Ct method.

Statistical analysis

Data are expressed as mean ± standard deviation. Significance thresholds of ****, P < 0.0001; ***, P < 0.001; **, P < 0.01; *, P < 0.05, or NS: not significant (P > 0.05) are shown. Statistics for all figures except for the 16S rRNA sequencing analysis were calculated with GraphPad Prism using the Mann–Whitney nonparametric unpaired two-tailed t test. For correlational analyses, the Spearman nonparametric correlation analysis with a confidence interval of 95% and a two-tailed significance test with alpha = 0.05 was used.

Data availability

All sequences have been uploaded to the NCBI SRA (National Center for Biotechnology Information Sequence Read Archive) under BioProject PRJNA350319. See Supplementary Table S3 for individual accession numbers.

Inflammation promotes development of colorectal cancer in ApcMin/+;Il10−/− mice

To investigate the interaction between inflammation and colorectal cancer development, we interbred Il10−/− mice to ApcMin/+ mice (129SvEV background) to generate ApcMin/+;Il10−/− mice. Colon and cecal tumors increased dramatically in ApcMin/+;Il10−/− compared with ApcMin/+ mice (colon tumor mean= 5.03 vs. 0.73, respectively P < 0.0001; cecal tumor mean = 0.51 vs. 0, respectively, P < 0.0005; Fig. 1A and C), whereas small bowel lesions remained similar between the two genotypes (mean = 0.84 vs. 2.23 P = 0.2914; Fig. 1D). Histological assessment showed presence of colonic neoplastic lesions in ApcMin/+;Il10−/− mice (Fig. 1E) and, as expected, increased inflammation in ApcMin/+;Il10−/− mice compared to ApcMin/+ mice (combined score mean = 1.32 vs. 0.23, respectively, P < 0.0001; Fig. 1B). There was a significant correlation between development of colorectal cancer and extent of colon inflammation in ApcMin/+;Il10−/− mice (r = 0.7441; P < 0.0001), whereas no such correlation is observed in ApcMin/+ mice (r = −0.09608; P = 0.6135; Fig. 1F). Furthermore, development of small intestinal neoplasia did not correlate with the state of colitis in either model (ApcMin/+;Il10−/−, r = 0.2364; ApcMin/+, r = 0.2526; P > 0.05; Fig. 1F). Interestingly, endpoint age (see Materials and Methods for description of the chosen endpoint age range) was a significant contributor to tumorigenesis in the small bowel of both ApcMin/+;Il10−/− and ApcMin/+ mice (r = 0.6458, 0.8208, respectively, P < 0.0001) but only weakly contributed to neoplasia in the large bowel of ApcMin/+;Il10−/− mice (r = 0.2561; P = 0.0256; Fig. 1G). Thus, genetic susceptibility to inflammation promotes colon but not small intestinal tumorigenesis in SPF ApcMin/+;Il10−/− mice, while age appears to be the primary factor contributing to small intestinal tumorigenesis in SPF ApcMin/+;Il10−/− and ApcMin/+ mice.

Due to its role in promoting cellular proliferation, we evaluated the distribution of nuclear catenin beta 1 (CTNNB1) and proliferating cell nuclear antigen (PCNA) in actively inflamed and neoplastic regions of ApcMin/+;Il10−/− and ApcMin/+ colons. Nuclear CTNNB1 and PCNA staining was mostly restricted to the crypt bases in ApcMin/+ mice (Fig. 2B and D; Supplementary Fig. S2B and S2D). In contrast, the colonic mucosa from ApcMin/+;Il10−/− mice showed areas of CTNNB1 and PCNA staining extending the full crypt length in dysplastic regions (Fig. 2A and C; Supplementary Fig. S2A and S2C). In addition, expression of proliferative and inflammatory IL6, TNFα, IFNγ, IL1β, IL22, and IL17a mRNA increased in ApcMin/+;Il10−/− compared with ApcMin/+proximal colon tissues (Fig. 2E). Furthermore, ApcMin/+;Il10−/− mice with a high number of tumors (>2) had significantly increased levels of TNFα, IFNγ, and IL1β mRNA compared to low tumor number (≤2) ApcMin/+;Il10−/− mice (Fig. 2F). Taken together, these data suggest that the heightened inflammatory and proliferative state observed in ApcMin/+;Il10−/− compared with ApcMin/+ mice increased propensity for colorectal tumor formation and progression.

Differential microbial composition within ApcMin/+;Il10−/− mice correlates with tumor multiplicity and inflammation status

We previously showed that inflammation altered microbial composition (17), a condition important for colorectal cancer development. Using 16S rRNA sequencing, we found that the SPF ApcMin/+;Il10−/− stool microbiome was associated with both colon inflammation score and tumor number (Fig. 3A), especially along the first principal coordinates analysis (PCoA) axis (Fig. 3B). Using mixed linear models with either colon tumor number or colitis score as the independent variable, we identified 17 genera significantly affected by both colon tumor number and colitis score, including Allobaculum, Anaerotruncus, Butyrivibrio, Clostridium IV, Clostridium XI, Enterococcus, Oscillibacter, Pseudoflavonifractor, and Syntrophococcus (Fig. 3C; Supplementary Table S2). Only 5 genera were affected by colon tumor number but not combined inflammation score (Akkermansia, Coprobacillus, Escherichia/Shigella, Marvinbryantia and Robinsoniella) while 4 genera were only affected by combined inflammation score and not colon tumor number (Alistipes, Enterorhabdus, Flavonifractor, and Roseburia; Fig. 3C). Interestingly, approximately 1/3 of these genera (10/26) were significantly increased in mice with colon tumors and/or inflammation while approximately 2/3 were decreased (16/26). Therefore, the microbial community composition is correlated with higher tumor numbers and inflammation, suggesting specific bacteria play a role in the development of colon inflammation and tumorigenesis in ApcMin/+;Il10−/ mice.

Bacteria are essential for development of colon tumorigenesis in ApcMin/+;Il10−/−mice

To stringently evaluate the impact of bacteria on colorectal cancer development, we derived ApcMin/+;Il10−/− and ApcMin/+mice in GF conditions and then performed microbial manipulation by either gavaging the mice with SPF biota or allowing them to naturally acquire a microbiota in SPF conditions. Importantly, colon tumorigenesis was practically abolished in GF ApcMin/+;Il10−/− mice (mean = 0) compared with SPF conditions (Fig. 4A,D). Interestingly, SPF gavage enhanced colon tumor loads compared to passive SPF colonization of ApcMin/+;Il10−/− mice (mean = 3.86 vs. 1, respectively, P = 0.0126; Fig. 4A and D), although colitis scores and most proliferative/inflammatory cytokine expression (IL6, TNFα, IFNγ, IL22, and IL17a) were not significantly different (colitis score means = 1.86 vs. 2.36 respectively, P = 0.46; Figs. 4B and 5D). Colon inflammation and tumors were negligible or absent in GF and SPF gavaged ApcMin/+mice (Supplementary Fig. S3A and S3B), suggesting inflammation is a key component of bacteria-mediated colon tumorigenesis. Development of small bowel neoplasia in ApcMin/+;Il10−/− and ApcMin/+mice (Fig. 5C; Supplementary Fig. S3C) was not significantly impacted by microbial colonization, suggesting a less pronounced role for the microbiota in the small intestine compared to the colon in this model. GF ApcMin/+;Il10−/− colons had reduced nuclear CTNNB1 and PCNA (Fig. 5A–C; Supplementary Fig. S4A–S4C) and decreased inflammatory cytokine expression (Fig. 5D) compared to SPF mice, indicating bacteria play a significant role in the increased inflammatory and proliferative state in SPF ApcMin/+;Il10−/− colons.

Gnotobiotic experiments reveal specific microbial requirements for colorectal cancer development in ApcMin/+;Il10−/−mice

Fusobacterium spp. have been linked to the development of colorectal cancer (4) and recent studies showed increased carcinogenesis in F. nucleatum-colonized ApcMin/+ mice (23–25). To investigate the interplay between microbiota and F. nucleatum in colorectal cancer, we transferred GF ApcMin/+ to SPF conditions and gavaged them with SPF microbiota followed by weekly gavage with a fadA+, fap2F. nucleatum colorectal cancer clinical isolate for 20 weeks. Interestingly, and in contrast to previous studies (23–25), the presence of F. nucleatum failed to enhance carcinogenesis in these mice (Fig. 6A and C). We next transferred GF ApcMin/+;Il10−/− mice to SPF conditions, gavaged them with SPF microbiota, and then introduced a mixture of 6 F. nucleatum strains (fadA+, fap2 or +) obtained from colorectal cancer patients by weekly gavage for 16 weeks. Although ApcMin/+;Il10−/− mice developed more inflammation and tumors than ApcMin/+ mice, presence of F. nucleatum species did not influence intestinal carcinogenesis or colitis (Fig. 6B and C). To rule out the possibility that the SPF biota downmodulates F. nucleatum carcinogenic properties, we transferred GF ApcMin/+ mice to a gnotobiotic isolator and associated these mice with a mixture of 6 F. nucleatum colorectal cancer clinical isolates (fadA+, fap2 or +; single gavage). Again, the presence of F. nucleatum isolates failed to enhance intestinal carcinogenesis in ApcMin/+ mice (Fig. 6D) despite the presence of high colony-forming unit (CFU) counts (mean = 107 CFU/g of stool). Although we did not see evidence of histological inflammation, to further confirm the effect of F. nucleatum on host inflammatory response, we examined inflammatory cytokine gene expression via qPCR. We found comparable levels of TNFα and IL1β in the mouse distal colon between germ-free and monoassociated ApcMin/+ mice, whereas IL6, IFNγ, IL22, and IL17a levels were undetectable (data not shown).

To further study the relationship between microbial status and carcinogenesis in gnotobiotic ApcMin/+;Il10−/− mice, we colonized these mice with E. coli NC101, a strain producing the colibactin genotoxin. We previously showed that removing pks from E. coli NC101 decreased development of colorectal cancer in the azoxymethane (AOM)/Il10−/− mouse model (17). We next monoassociated ApcMin/+;Il10−/− mice by oral gavage (108 CFU/mouse) with an E. coli NC101 mutant deficient for clbP, the pks gene necessary for colibactin activation (ΔclbP). We found that wild-type NC101-colonized mice developed significantly more colon tumors than E. coli NC101 ΔclbP-associated mice (mean = 1.71 vs. 0.17, respectively, P = 0.0023; Fig. 7A). The finding that NC101 ΔclbP has diminished carcinogenic capacity compared to NC101 was confirmed in the AOM/Il10−/− model (mean = 2 vs. 5 tumors, respectively, P = 0.039; Supplementary Fig. S5). Importantly, deletion of clbP did not compromise the ability of E. coli NC101 to induce inflammation (colitis score mean = 2.675, 2.5 respectively; P = 0.76; Fig. 7B and D). Presence of a functional pks did not influence development of small intestinal tumors in ApcMin/+;Il10−/− mice (mean = 0.29, 0.8, respectively; P = 0.22; Fig. 7C). Overall, these findings show that ApcMin/+;Il10−/− mice are sensitive to microbial status and develop site specific tumors, with colibactin-producing E. coli but not fadA+, fap2−/+F. nucleatum enhancing colon tumor development.

Genetics and environmental factors play an important role in colorectal cancer development, with increasing attention directed toward the intestinal microbiota as a key environmental component (26). In general, the microbiota is thought to play a procarcinogenic role in colorectal cancer with numerous colorectal cancer mouse models demonstrating tumor reduction in antibiotic treated or GF mice (27). Here we utilized gnotobiotic ApcMin/+and ApcMin/+;Il10−/− mice to define the relationship between inflammation, microbial status, and tumorigenesis. We observed that despite genetic susceptibility in both ApcMin/+and ApcMin/+;Il10−/− mice, colonic inflammation in the latter mice fosters development of colon tumors, which was associated with an altered luminal microbiota composition. Gnotobiotic experiments revealed that E. coli colibactin but not F. nucleatum FadA and Fap2 adhesins promote colon tumorigenesis, suggesting an intricate interaction between host genetics and bacteria.

We observed an inflammation-dependent increase in colon tumorigenesis in 129 SvEv ApcMin/+;Il10−/− mice, which is in line with previous reports on Il10-deficient C57BL/6 ApcMin/+ and ApcΔ468 mice (13, 14). However, in the small intestine compartment, tumors developed at a comparable rate regardless of Il10 status in ApcMin/+ mice, which is in contrast to previous findings showing a delay in small intestinal polyp formation in Il10 deficient ApcΔ468 mice (15). Possible explanations for the differences in small intestine tumor formation may be due to genetic background differences that have been shown to strongly modulate tumor multiplicity, particularly in the small intestine of ApcMin/+mice (28). Nevertheless, our findings that ApcMin/+;Il10−/−and ApcMin/+ small intestine tumor development significantly correlated with age but not inflammation suggest that age-related factors are a primary driver of small intestinal tumorigenesis

We observed changes in the abundance of 26 genera that correlated with colon inflammation and/or tumor number. In contrast to previous sequencing results with ApcMin/+ and T cell–specific ApcMin/+;Il10−/−mice, no significant increases in the Bacteroides or Porphyromonas genera were observed (14). These differences are likely due to a combination of factors including sampling location (stool vs. tissue), mouse genetic background, husbandry and 16S sequencing methods (V1–V3 region vs. V3–V4). Importantly, Akkermansia, Blautia, Dorea, Enterococcus, and Escherichia/Shigella, which positively correlated with tumor number, have been previously associated as increased in mucosal tissue (17, 29, 30) or stools from either human colorectal cancer patients (31–33) or AOM/DSS mice (34, 35). Conversely, some of the genera that negatively correlated with tumors and inflammation or just inflammation included Clostridium XIVa, Lachnospiracea and Roseburia, which have been implicated as butyrate producers and were decreased in colorectal cancer stool (31, 33) or stools from AOM/DSS mice transplanted with stools from human patient samples (34). Thus, our sequencing results suggest there are changes in the microbiota that are associated with colon inflammation and tumor status.

The interaction between bacteria and the host in the context of intestinal carcinogenesis is complex. One study, using the chemical AOM/DSS regimen, reported that GF mice developed more colonic tumors than mice colonized with a complex biota, suggesting certain bacteria can have a beneficial role in colorectal cancer (36). Because microbial composition is a key determinant of colon tumor burden in AOM/DSS mice (35, 37), this chemical model may better capture the protective functions of bacteria than the genetic ApcMin/+mouse model.

Nevertheless, the role of bacteria in ApcMin/+intestinal tumorigenesis is complex, with one report showing fewer tumors in the middle region of the small intestine in GF ApcMin/+mice (9) while another report showed reduced tumors throughout the intestine in GF ApcMin/+mice (10). The difference in tumor distribution is not clear. Our finding that bacteria promote colon tumors in ApcMin/+;Il10−/−mice is in line with a study showing reduced colon polyp numbers in ApcΔ468;CD4CreIl10f/f mice following broad-spectrum antibiotic treatment (14).

Numerous studies have implicated Fusobacterium spp., in particular F. nucleatum, as carcinogenic, based on associative studies showing the presence of the bacterium in the luminal and mucosal compartment of human colorectal cancer patients using genomic analyses (3, 4, 24, 33). In addition, daily gavage of F. nucleatum (strain EAVG_002; 7/1 or ATCC 25586) for 8–24 weeks was shown to promote intestinal tumorigenesis in C57BL/6 ApcMin/+mice (23–25). Surprisingly, ApcMin/+ and ApcMin/+;Il10−/−mice colonized with fadA+, fap2+/−F. nucleatum isolates from colorectal cancer patients failed to promote intestinal tumorigenesis, in the presence (SPF) or absence of complex biota (gnotobiotic). The absence of tumorigenesis in monoassociated ApcMin/+mice was not due to poor colonization, because a high load of F. nucleatum (107 CFU/g) was recovered from these mice. The discrepancy between our study and previous F. nucleatum ApcMin/+studies (23–25) is unclear but could be the result of strain specific properties (EAVG_002; refs. 19, 38) and ATCC 25586 (39, 40) vs. strains tested here), mouse genetic background differences and different microbial environments, as microbial communities are notoriously different between institutions. Nevertheless, our gnotobiotic approach clearly showed that presence of FadA and Fap2 adhesins in F. nucleatum is not sufficient to induce either inflammation or cancer, as opposed to E. coli pks+ monoassociated ApcMin/+;Il10−/−mice. Thus, it is possible that only a select group of F. nucleatum strains possess carcinogenic abilities, which require interactions with other specific members of the microbial community. It will be important to define these interactions and test a larger set of F. nucleatum strains to determine the role of these bacteria in colorectal cancer pathogenesis.

Several studies have found an association between pks+E. coli and human colorectal cancer patients (17, 29). Furthermore, pks+E. coli isolates from mice or human colorectal cancer patients have a protumorigenic effect in GF AOM/Il10−/−, SPF ApcMin/+, and SPF AOM/DSS mice (17, 29, 41). However, because the pks-associated clbA gene is implicated in the production of siderophores located in the enterobactin (ent) and yersiniabactin (HPI) loci (42), and our previous observation was based on removal of the entire pks island, it was unclear whether the decreased tumorigenesis observed in AOM/Il10−/− mice was the consequence of dual siderophore/colibactin impairment, or solely due to abolished pks activity. Using a mutant with defective ClbP, the key enzyme implicated in pre-colibactin cleavage and generation of the active form (43), we demonstrated the colibactin-producing E. coli murine isolate NC101 is responsible for the protumorigenic effect of the bacterium in ApcMin/+;Il10−/− mice. Whether clbA contributes to colibactin-mediated tumorigenesis is still unclear and would need to be investigated, especially because a recent in vitro study showed that iron levels and E. coli iron sensors regulate clbA transcription and colibactin production (44). Because our studies were performed using a monoassociation approach, and therefore without competitive pressure from other microorganisms, the full extent of iron acquisition on E. coli pks+ induced carcinogenesis remains unclear.

Recent studies have attempted to dissect the contributions of intrinsic (organ specific stem cell division rates, aging) and extrinsic factors (hereditary mutations, lifestyle, environmental exposure, etc.), to overall cancer risk in humans (45–47). However, the interplay between all these factors makes it difficult to tease out the various contributions using epidemiological data. Nevertheless, these studies suggest that small intestine cancers with a relatively low lifetime risk are driven by intrinsic risk factors, while 82.9% of the mutation signatures in colorectal cancers are from extrinsic factors, correlating with a much higher lifetime risk (46). We postulate that one of the extrinsic factors contributing to colorectal cancer risk is the microbiota, which not coincidentally is also affected by lifestyle and environmental factors (48, 49). Interestingly, the concentration of bacteria increases along the gastrointestinal tract with 103–104 bacteria/mL in the small intestine to 1011 bacteria/mL in the colon, mirroring the distribution of cancer risk along the human intestinal tract (50). Similarly, in the ApcMin/+;Il10−/− model, age strongly correlates with small intestine tumor numbers while inflammation and bacteria composition play a strong role in colon tumorigenesis. Elucidating the mechanisms by which specific bacteria interact with other microbiota members to promote carcinogenesis will generate important insights into the pathophysiology of colorectal cancer.

Conception and design: S. Tomkovich, Y. Yang, M. Mohamadzadeh, E. Oswald, C. Jobin

Development of methodology: S. Tomkovich, Y. Yang, P. Martin, G.P. Wang, C. Jobin

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): S. Tomkovich, Y. Yang, J. Gauthier, X. Sun, X. Liu, C. Jobin

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): S. Tomkovich, Y. Yang, K. Winglee, A.A. Fodor, C. Jobin

Writing, review, and/or revision of the manuscript: S. Tomkovich, Y. Yang, K. Winglee, M. Mohamadzadeh, G.P. Wang, E. Oswald, A.A. Fodor, C. Jobin

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J. Gauthier

Study supervision: C. Jobin

Other (scored and evaluated histology): M. Mühlbauer

Other (financial contribution): C. Jobin

The authors would like to thank the University of Florida Animal Care Services, particularly the Germ-Free Services division for assistance with SPF and gnotobiotic mouse experiments and the staff at the Molecular Pathology Core for assistance with histology. We also thank Dr. Emma Allen-Vercoe for sharing the F. nucleatum strains. Finally, we thank Dr. Elena Verdu (McMaster University) for derivation of Apcmin/+ mice into germ-free conditions.

This research was supported by NIH grants R01DK047700, R01DK073338, and R21 CA195226 to C. Jobin. Y. Yang was supported by the Crohn's & Colitis Foundation of America (CCFA) research fellowship award (CCFA Ref. #409472). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Siegel
RL
,
Miller
KD
,
Jemal
A
. 
Cancer statistics, 2016
.
CA Cancer J Clin
2016
;
66
:
7
30
.
2.
The Cancer Genome Atlas Network.
Comprehensive molecular characterization of human colon and rectal cancer
.
Nature
2012
;
487
:
330
7
.
3.
Borges-Canha
M
,
Portela-Cidade
JP
,
Dinis-Ribeiro
M
,
Leite-Moreira
AF
,
Pimentel-Nunes
P
. 
Role of colonic microbiota in colorectal carcinogenesis: a systematic review
.
Rev Esp Enferm Dig
2015
;
107
:
659
71
.
4.
Brennan
CA
,
Garrett
WS
. 
Gut Microbiota, inflammation, and colorectal cancer
.
Annu Rev Microbiol
2016
;
70
:
395
411
.
5.
Lasry
A
,
Zinger
A
,
Ben-Neriah
Y
. 
Inflammatory networks underlying colorectal cancer
.
Nat Immunol
2016
;
17
:
230
40
.
6.
Beaugerie
L
,
Itzkowitz
SH
. 
Cancers complicating inflammatory bowel disease
.
N Engl J Med
2015
;
372
:
1441
52
.
7.
Jackstadt
R
,
Sansom
OJ
. 
Mouse models of intestinal cancer
.
J Pathol
2016
;
238
:
141
51
.
8.
Moser
AR
,
Pitot
HC
,
Dove
WF
. 
A dominant mutation that predisposes to multiple intestinal neoplasia in the mouse
.
Science
1990
;
247
:
322
4
.
9.
Dove
WF
,
Clipson
L
,
Gould
KA
,
Luongo
C
,
Marshall
DJ
,
Moser
AR
, et al
Intestinal neoplasia in the ApcMin mouse: independence from the microbial and natural killer (beige locus) status
.
Cancer Res
1997
;
57
:
812
4
.
10.
Li
Y
,
Kundu
P
,
Seow
SW
,
de Matos
CT
,
Aronsson
L
,
Chin
KC
, et al
Gut microbiota accelerate tumor growth via c-jun and STAT3 phosphorylation in APCMin/+ mice
.
Carcinogenesis
2012
;
33
:
1231
8
.
11.
Cooper
HS
,
Everley
L
,
Chang
WC
,
Pfeiffer
G
,
Lee
B
,
Murthy
S
, et al
The role of mutant Apc in the development of dysplasia and cancer in the mouse model of dextran sulfate sodium-induced colitis
.
Gastroenterology
2001
;
121
:
1407
16
.
12.
Grivennikov
SI
,
Wang
K
,
Mucida
D
,
Stewart
CA
,
Schnabl
B
,
Jauch
D
, et al
Adenoma-linked barrier defects and microbial products drive IL-23/IL-17-mediated tumour growth
.
Nature
2012
;
491
:
254
8
.
13.
Huang
EH
,
Park
JC
,
Appelman
H
,
Weinberg
AD
,
Banerjee
M
,
Logsdon
CD
, et al
Induction of inflammatory bowel disease accelerates adenoma formation in Min +/- mice
.
Surgery
2006
;
139
:
782
8
.
14.
Dennis
KL
,
Wang
Y
,
Blatner
NR
,
Wang
S
,
Saadalla
A
,
Trudeau
E
, et al
Adenomatous polyps are driven by microbe-instigated focal inflammation and are controlled by IL-10-producing T cells
.
Cancer Res
2013
;
73
:
5905
13
.
15.
Dennis
KL
,
Saadalla
A
,
Blatner
NR
,
Wang
S
,
Venkateswaran
V
,
Gounari
F
, et al
T-cell Expression of IL10 is essential for tumor immune surveillance in the small intestine
.
Cancer Immunol Res
2015
;
3
:
806
14
.
16.
Wu
S
,
Rhee
K-J
,
Albesiano
E
,
Rabizadeh
S
,
Wu
X
,
Yen
H-R
, et al
A human colonic commensal promotes colon tumorigenesis via activation of T helper type 17 T cell responses
.
Nat Med
2009
;
15
:
1016
22
.
17.
Arthur
JC
,
Perez-Chanona
E
,
Mühlbauer
M
,
Tomkovich
S
,
Uronis
JM
,
Fan
T-J
, et al
Intestinal inflammation targets cancer-inducing activity of the microbiota.
Science
2012
;
338
:
120
3
.
18.
Rubinstein
MR
,
Wang
X
,
Liu
W
,
Hao
Y
,
Cai
G
,
Han
YW
. 
Fusobacterium nucleatum promotes colorectal carcinogenesis by modulating E-cadherin/β-catenin signaling via its FadA adhesin
.
Cell Host Microbe
2013
;
14
:
195
206
.
19.
Abed
J
,
Emgård
JEM
,
Zamir
G
,
Faroja
M
,
Almogy
G
,
Grenov
A
, et al
Fap2 mediates fusobacterium nucleatum colorectal adenocarcinoma enrichment by binding to tumor-expressed Gal-GalNAc
.
Cell Host Microbe
2016
;
20
:
215
25
.
20.
Gur
C
,
Ibrahim
Y
,
Isaacson
B
,
Yamin
R
,
Abed
J
,
Gamliel
M
, et al
Binding of the Fap2 protein of Fusobacterium nucleatum to human inhibitory receptor TIGIT protects tumors from immune cell attack
.
Immunity
2015
;
42
:
344
55
.
21.
Datsenko
KA
,
Wanner
BL
. 
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
.
Proc Natl Acad Sci U S A
2000
;
97
:
6640
5
.
22.
Nougayrède
J-P
,
Homburg
S
,
Taieb
F
,
Boury
M
,
Brzuszkiewicz
E
,
Gottschalk
G
, et al
Escherichia coli induces DNA double-strand breaks in eukaryotic cells
.
Science
2006
;
313
:
848
51
.
23.
Kostic
AD
,
Chun
E
,
Robertson
L
,
Glickman
JN
,
Gallini
CA
,
Michaud
M
, et al
Fusobacterium nucleatum potentiates intestinal tumorigenesis and modulates the tumor-immune microenvironment
.
Cell Host Microbe
2013
;
14
:
207
15
.
24.
Yu
Y-N
,
Yu
T-C
,
Zhao
H-J
,
Sun
T-T
,
Chen
H-M
,
Chen
H-Y
, et al
Berberine may rescue Fusobacterium nucleatum-induced colorectal tumorigenesis by modulating the tumor microenvironment.
Oncotarget
2015
;
6
:
32013
26
.
25.
Yang
Y
,
Weng
W
,
Peng
J
,
Hong
L
,
Yang
L
,
Toiyama
Y
, et al
Fusobacterium nucleatum increases proliferation of colorectal cancer cells and tumor development in mice by activating Toll-like receptor 4 signaling to nuclear factor−κ, up-regulating expression of microRNA-21
.
Gastroenterology
2017
;
152:851-866.e24
.
26.
Pope
JL
,
Tomkovich
S
,
Yang
Y
,
Jobin
C
. 
Microbiota as a mediator of cancer progression and therapy
.
Transl Res
2017
;
179
:
139
54
.
27.
Schwabe
RF
,
Jobin
C
. 
The microbiome and cancer
.
Nat Rev Cancer
2013
;
13
:
800
12
.
28.
Kwong
LN
,
Dove
WF
. 
APC and its modifiers in colon cancer
.
Adv Exp Med Biol
2009
;
656
:
85
106
.
29.
Bonnet
M
,
Buc
E
,
Sauvanet
P
,
Darcha
C
,
Dubois
D
,
Pereira
B
, et al
Colonization of the human gut by E. coli and colorectal cancer risk.
Clin Cancer Res
2014
;
20
:
859
67
.
30.
Shen
XJ
,
Rawls
JF
,
Randall
T
,
Burcal
L
,
Mpande
CN
,
Jenkins
N
, et al
Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas
.
Gut Microbes
2010
;
1
:
138
47
.
31.
Wang
T
,
Cai
G
,
Qiu
Y
,
Fei
N
,
Zhang
M
,
Pang
X
, et al
Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers
.
ISME J
2012
;
6
:
320
9
.
32.
Weir
TL
,
Manter
DK
,
Sheflin
AM
,
Barnett
BA
,
Heuberger
AL
,
Ryan
EP
. 
Stool microbiome and metabolome differences between colorectal cancer patients and healthy adults
.
PLoS ONE
2013
;
8
:
e70803
.
33.
Wu
N
,
Yang
X
,
Zhang
R
,
Li
J
,
Xiao
X
,
Hu
Y
, et al
Dysbiosis signature of fecal microbiota in colorectal cancer patients
.
Microb Ecol
2013
;
66
:
462
70
.
34.
Baxter
NT
,
Zackular
JP
,
Chen
GY
,
Schloss
PD
. 
Structure of the gut microbiome following colonization with human feces determines colonic tumor burden
.
Microbiome
2014
;
2
:
20
.
35.
Zackular
JP
,
Baxter
NT
,
Iverson
KD
,
Sadler
WD
,
Petrosino
JF
,
Chen
GY
, et al
The gut microbiome modulates colon tumorigenesis
.
MBio
2013
;
4
:
e00692
13
.
36.
Zhan
Y
,
Chen
P-J
,
Sadler
WD
,
Wang
F
,
Poe
S
,
Núñez
G
, et al
Gut microbiota protects against gastrointestinal tumorigenesis caused by epithelial injury
.
Cancer Res
2013
;
73
:
7199
210
.
37.
Zackular
JP
,
Baxter
NT
,
Chen
GY
,
Schloss
PD
. 
Manipulation of the gut microbiota reveals role in colon tumorigenesis. mSphere
2016
;
1
:
e00001-15. doi: 10.1128/mSphere.00001-15.
38.
Cochrane
KLS
. 
Elucidating potential virulence factors in Fusobacterium nucleatum [Internet] [Doctoral dissertation].
The University of Guelph
; 
2016
.
Available from
: https://atrium.lib.uoguelph.ca/xmlui/bitstream/handle/10214/9623/Cochrane_Kyla_201605_PhD.pdf?sequence=3.
39.
Kaplan
CW
,
Ma
X
,
Paranjpe
A
,
Jewett
A
,
Lux
R
,
Kinder-Haake
S
, et al
Fusobacterium nucleatum outer membrane proteins Fap2 and RadD induce cell death in human lymphocytes
.
Infect Immun
2010
;
78
:
4773
8
.
40.
Han
YW
,
Ikegami
A
,
Rajanna
C
,
Kawsar
HI
,
Zhou
Y
,
Li
M
, et al
Identification and characterization of a novel adhesin unique to oral fusobacteria
.
J Bacteriol
2005
;
187
:
5330
40
.
41.
Cougnoux
A
,
Dalmasso
G
,
Martinez
R
,
Buc
E
,
Delmas
J
,
Gibold
L
, et al
Bacterial genotoxin colibactin promotes colon tumour growth by inducing a senescence-associated secretory phenotype
.
Gut
2014
;
63
:
1932
42
.
42.
Martin
P
,
Marcq
I
,
Magistro
G
,
Penary
M
,
Garcie
C
,
Payros
D
, et al
Interplay between siderophores and colibactin genotoxin biosynthetic pathways in Escherichia coli
.
PLoS Pathog
2013
;
9
:
e1003437
.
43.
Dubois
D
,
Baron
O
,
Cougnoux
A
,
Delmas
J
,
Pradel
N
,
Boury
M
, et al
ClbP is a prototype of a peptidase subgroup involved in biosynthesis of nonribosomal peptides
.
J Biol Chem
2011
;
286
:
35562
70
.
44.
Tronnet
S
,
Garcie
C
,
Rehm
N
,
Dobrindt
U
,
Oswald
E
,
Martin
P
. 
Iron homeostasis regulates the genotoxicity of escherichia coli that produces colibactin
.
Infect Immun
2016
;
84
:
3358
68
.
45.
Tomasetti
C
,
Vogelstein
B
. 
Cancer etiology. Variation in cancer risk among tissues can be explained by the number of stem cell divisions.
Science
2015
;
347
:
78
81
.
46.
Wu
S
,
Powers
S
,
Zhu
W
,
Hannun
YA
. 
Substantial contribution of extrinsic risk factors to cancer development
.
Nature
2016
;
529
:
43
7
.
47.
Podolskiy
DI
,
Gladyshev
VN
. 
Intrinsic versus extrinsic cancer risk factors and aging
.
Trends Mol Med
2016
;
22
:
833
4
.
48.
O'Sullivan
O
,
Cronin
O
,
Clarke
SF
,
Murphy
EF
,
Molloy
MG
,
Shanahan
F
, et al
Exercise and the microbiota
.
Gut Microbes
2015
;
6
:
131
6
.
49.
Conlon
MA
,
Bird
AR
. 
The impact of diet and lifestyle on gut microbiota and human health
.
Nutrients
2015
;
7
:
17
44
.
50.
Sender
R
,
Fuchs
S
,
Milo
R
. 
Revised estimates for the number of human and bacteria cells in the body
.
PLoS Biol
2016
;
14
:
e1002533
.