Abstract
Given that only a subset of patients with colorectal cancer (CRC) benefit from immune checkpoint therapy, efforts are ongoing to identify markers that predict immunotherapeutic response. Increasing evidence suggests that microbes influence the efficacy of cancer therapies. Fusobacterium nucleatum induces different immune responses in CRC with different microsatellite-instability (MSI) statuses. Here, we investigated the effect of F. nucleatum on anti-PD-L1 therapy in CRC. We found that high F. nucleatum levels correlate with improved therapeutic responses to PD-1 blockade in patients with CRC. Additionally, F. nucleatum enhanced the antitumor effects of PD-L1 blockade on CRC in mice and prolonged survival. Combining F. nucleatum supplementation with immunotherapy rescued the therapeutic effects of PD-L1 blockade. Furthermore, F. nucleatum induced PD-L1 expression by activating STING signaling and increased the accumulation of interferon-gamma (IFN-γ)+ CD8+ tumor-infiltrating lymphocytes (TILs) during treatment with PD-L1 blockade, thereby augmenting tumor sensitivity to PD-L1 blockade. Finally, patient-derived organoid models demonstrated that increased F. nucleatum levels correlated with an improved therapeutic response to PD-L1 blockade. These findings suggest that F. nucleatum may modulate immune checkpoint therapy for CRC.
Subject terms: Gastrointestinal cancer, Prognostic markers
Introduction
Immunotherapy has been successfully used to treat a variety of hematological and solid metastatic malignancies in the clinic.1 Immune checkpoint therapy, which inhibits the interaction between a T-cell inhibitory receptor and its cognate ligand(s) to activate antitumor immune responses, can elicit durable cancer regression and provides a new treatment for cancer.2 The most widely used drugs targeting immune checkpoints, such as programmed cell death protein 1 (PD-1) and its ligand PD-L1, is highly effective in a subset of patients with non-small cell lung cancer, advanced melanoma, bladder cancer, or metastatic renal cell carcinoma.3–6 However, anti-PD-1/PD-L1 therapy is considered ineffective in most patients with colorectal cancer (CRC), and only those with microsatellite-instability-high (MSI-high) and a high overall mutational burden have been found to be responsive to anti-PD-1/PD-L1 therapy. Further studies presented the response rate was 50%, and the disease control rate was 89% in a cohort of 28 patients with MSI-high tumors.7 It remains challenging to identify CRC patients who will respond to anti-PD-1/PD-L1 treatment, which is necessary to improve the efficacy of this treatment.
The gut microbiota plays a key role in mediating tumor responses to chemotherapy and immune checkpoint therapy in different types of cancer.8–11 F. nucleatum is a Gram-negative anaerobic bacterium mainly inhabiting the oral cavity and gastrointestinal tract in humans. It has long been considered as an etiological agent of periodontal diseases.12 Strikingly, its presence is observed also in multiple types of tumor recently, including esophageal squamous cell carcinoma, gastric cancer and CRC.13–15 F. nucleatum has been shown to accumulate in colorectal adenocarcinoma and CRC tissues and to be associated with colorectal carcinogenesis via activating E-cadherin/β-catenin signaling and Toll-like receptor (TLR) 4 signaling; this bacterium also promotes chemoresistance in CRC in mice by modulating autophagy.9,15–18 Moreover, the amount of F. nucleatum in CRC tissues is associated with a poor prognosis.19 It has been reported that F. nucleatum relates to host immune responses differentially by MSI status in CRC.20 The presence of F. nucleatum is negatively associated with tumor-infiltrating lymphocytes (TILs) in MSI-high tumors, but positively associated with TILs in microsatellite-stable (MSS) tumors.20 However, it is unknown whether F. nucleatum affects antitumor immunotherapy, specifically the PD-1/PD-L1 blockade, in CRC.
In the current study, we aimed to investigate whether and how F. nucleatum affects the immune system and modulates anti-PD-1/PD-L1 treatment responses in CRC. We found that F. nucleatum enhanced the antitumor response to PD-1/PD-L1 checkpoint blockade by inducing PD-L1 expression by activating STING signaling and increasing the accumulation of interferon-gamma (IFN-γ)+ CD8+ TILs during treatment with PD-L1 blockade. Our findings define a new role of F. nucleatum in the immunotherapy of CRC and provide a potential biomarker for clinically predicting the therapeutic effect of PD-1/PD-L1 blockade.
Results
High F. nucleatum levels correlate with improved therapeutic responses to PD-1 blockade in patients with CRC
First, we examined whether F. nucleatum could affect the response to PD-1/PD-L1 blockade in patients with CRC. We recruited 41 patients with CRC undergoing PD-1 blockade therapy and measured F. nucleatum abundance in tumor tissues (Supplementary Table S1). Since some patients with microsatellite-instability-high (MSI-H) or mismatch repair-deficient (dMMR) CRC appear to be susceptible to PD-1/PD-L1 blockade,21 we also detected the expression of mismatch repair proteins (MLH1, MSH2, MSH6 and PMS2) in CRC tissues (Supplementary Fig. S1a). We found that the progression-free survival (PFS) of patients with dMMR treated with PD-1 blockade (median 187 days) was longer than that of patients with mismatch repair-proficient (pMMR) (median 89 days) (Supplementary Fig. S1b). The proportion of patients with dMMR CRC who are susceptible to PD-1 blockade (75%) is higher than that of patients with pMMR CRC (11.8%) (Supplementary Fig. S1c). On the other hand, we found that the positive rate of F. nucleatum in tumor tissues was 71% (27/38). In addition, F. nucleatum is mainly located in CRC tumor tissues rather than adjacent tissues (Fig. 1a). The PFS of patients with F. nucleatum-positive tumor tissues (median 141 days) is longer than that of patients with F. nucleatum-negative tumor tissues (median 87 days) (Fig. 1b). In addition, the positive rate of F. nucleatum in the tumor tissues of responders (100%) is higher than non-responders (47%) (Fig. 1c), suggesting F. nucleatum in CRC tissues may be related to the therapeutic effect of PD-1/PD-L1 blockade.
Further, we measured F. nucleatum abundance in the feces of patients with CRC (n = 27) before the treatment of PD-1 blockade (Supplementary Table S2), found that the positive rate of F. nucleatum in the feces of patients with CRC is 100%. We divide patients into high F. nucleatum and low F. nucleatum groups based on the median. The patients with high F. nucleatum levels had longer PFS than those with low F. nucleatum levels (Fig. 1d). Interestingly, there is a patient with lung metastasis with high F. nucleatum levels in the feces. Although he was in MSS status, the lung metastases became significantly smaller within two months after PD-1 blockade, and the comprehensive assessment reached partial remission (PR) (Fig. 1e). These results indicate that F. nucleatum may play a role in anti-PD-1/PD-L1 immunotherapy of patients with CRC.
F. nucleatum augments the antitumor effects of PD-L1 blockade on CRC
We evaluated whether F. nucleatum affects the response to PD-L1 blockade in murine models of CRC. Wild-type CT26 mouse colon cancer cells (CT26.WT) were subcutaneously implanted in the flanks of BALB/c mice, followed by intratumoral injection of F. nucleatum, Escherichia coli DH-5α or phosphate-buffered saline (PBS) and intraperitoneal injection of an anti-PD-L1 monoclonal antibody (mAb) or an isotype control mAb. Successful colonization of F. nucleatum in mouse tumor tissues was observed, and the amount of F. nucleatum was similar to that in human CRC specimens (Supplementary Fig. S2). Remarkably, the F. nucleatum and PD-L1 blockade co-treatment significantly reduced tumor growth (measured as tumor volume) and tumor weight compared with the treatment with F. nucleatum alone (Fig. 2a–d). However, tumor growth and tumor weight did not significantly differ between the control group or the DH-5α injection group and the anti-PD-L1 treatment group (Fig. 2a–d and Supplementary Fig. S3). Thus, F. nucleatum injection could enhance the efficacy of anti-PD-L1 treatment in a murine CRC model.
To further examine the role of F. nucleatum in the treatment of CRC with PD-L1 blockade, the tumor growth experiment was validated with the bacterium administered via gavage. Thus, we inoculated F. nucleatum, DH-5α or PBS into tumor-bearing mice via gavage and then administered an anti-PD-L1 mAb or an isotype control mAb via intraperitoneal injection. As depicted in Supplementary Fig. S4, anti-PD-L1 treatment significantly decreased tumor growth in the F. nucleatum treatment group relative to the F. nucleatum-only group. However, tumor growth was unaffected by anti-PD-L1 treatment in the PBS control and DH-5α treatment groups. These results confirm that F. nucleatum enhances the antitumor effect of the anti-PD-L1 mAb in CRC, and this effect is independent of the routes for F. nucleatum administration.
Given its effects on this subcutaneous model, we next examined whether F. nucleatum also enhanced the antitumor effects of PD-L1 blockade on a more clinically relevant CRC model. We constructed an AOM/DSS-induced CRC model. We found that the number of tumors (diameter ≥ 1 mm) in F. nucleatum-gavage mice was significantly reduced after PD-L1 blockade, while the number of tumors in the control group was not significantly changed after PD-L1 blockade (Fig. 2e, f). In addition, We found that AOM/DSS-treated mice treated with F. nucleatum and PD-L1 blockade survived longer than the mice treated with PD-L1 blockade alone (P < 0.01) (Fig. 2g). However, in AOM/DSS-treated CRC mice that were not treated with F. nucleatum, anti-PD-L1 mAb therapy did not significantly affect survival (P > 0.05) (Fig. 2g). The results showed that the presence of F. nucleatum increased the survival benefit of PD-L1 blockade in AOM/DSS-treated mice. Collectively, our data indicate that F. nucleatum treatment enhances the efficacy of PD-L1 blockade, thereby prolonging the survival time of mice in murine CRC models.
We next investigated whether the therapeutic effect of the anti-PD-L1 mAb could be improved by supplementation with F. nucleatum. The anti-PD-L1 mAb was administered into CRC tumor-bearing mice for 5 days. Tumor growth was not found to be inhibited in the anti-PD-L1 mAb group compared with the untreated group. In the following days, those mice were injected intratumorally with F. nucleatum (100 µl of a 1010 CFU/mL suspension) and the treatment with anti-PD-L1 mAb continued (Fig. 2h). Tumor growth was significantly inhibited after F. nucleatum inoculation in mice receiving anti-PD-L1 mAb compared to those treated only with anti-PD-L1 mAb or F. nucleatum (Fig. 2i–l). These data indicate that F. nucleatum supplementation enhances the therapeutic effect of CRC tumor-bearing mice, which initially do not respond to PD-L1 blockade.
F. nucleatum treatment increases the accumulation of IFN-γ+ CD8+ TILs during treatment with PD-L1 blockade
The accumulation and activity of TILs are major factors affecting the outcome of immune checkpoint therapy, with effector TILs generally promoting antitumor immune response while regulatory populations create an immunosuppressive environment that limits the efficacy.22,23 Therefore, we tested how F. nucleatum, alone or in combination with anti-PD-L1 mAb treatment, affects TILs. Tumor-bearing mice were treated with F. nucleatum by intratumoral injection or gavage and intraperitoneally injected with an anti-PD-L1 mAb. F. nucleatum treatment alone did not modulate the proportions of CD4+ and CD8+ TILs, regardless of F. nucleatum administration routes (Fig. 3a, b and Supplementary Fig. S5a, d). However, when combining with anti-PD-L1 mAb treatment, F. nucleatum administration led to a significant increase in the proportion of CD8+ TILs (Fig. 3a, b). We did not observe any difference in the proportion of regulatory T cells (using FOXP3 as the marker) in tumors among different treatment groups (Supplementary Fig. S5b, c, e, f). In contrast, the DH-5α that was used as a control, did not affect the proportions of CD4+, CD8+ and FOXP3+ TILs during anti-PD-L1 mAb treatment (Supplementary Fig. S6a, b). These results suggest that F. nucleatum supplementation increases the proportion of CD8+ TILs in mice treated with an anti-PD-L1 mAb, which suggests F. nucleatum may enhance the therapeutic effect of anti-PD-L1 mAb by increasing CD8+ TILs.
Within the CD8+ TIL population, IFN-γ-producing cells have crucial effector roles in antitumor immunity.22,24 Therefore, we evaluated the accumulation of IFN-γ+ CD8+ TILs in the tumor tissues of tumor-bearing BALB/c mice. We observed significant increases in the IFN-γ+ CD8+ TIL percentage in tumor-bearing mice treated with F. nucleatum with or without PD-L1 blockade (Fig. 3c, d). We did not observe any change in the frequency of IFN-γ+ CD8+ TILs in tumors treated with DH-5α (Supplementary Fig. 6c). Furthermore, antibody-mediated CD8+ T-cell depletion significantly diminished the therapeutic effects of the anti-PD-L1 mAb on F. nucleatum-supplemented tumor-bearing mice based on tumor volume (Fig. 3e–g). Thus, our results indicate that F. nucleatum treatment significantly increases the abundance of IFN-γ+ CD8+ TILs, which play an important role in the therapeutic effect of F. nucleatum-modulated PD-L1 blockade.
F. nucleatum induces PD-1 and PD-L1 expression
We next examined whether F. nucleatum treatment affects responses to anti-PD-L1 mAb treatment by modulating the expression of PD-1 and PD-L1. We found that F. nucleatum treatment increased the proportion of PD-1+ cells in anti-PD-L1 mAb-treated tumor-bearing BALB/c mice (Fig. 4a). In addition, the expression of PD-L1 was also increased in tumor samples from mice treated with F. nucleatum compared with those from mice that did not receive F. nucleatum treatment (Fig. 4b and Supplementary Fig. S7). In contrast, DH-5α did not modulate the proportion of PD-1+ cells or PD-L1 expression during treatment with the anti-PD-L1 mAb (Supplementary Fig. S8). These results suggest that F. nucleatum may enhance the antitumor effect of PD-L1 blockade in murine models of CRC also by modulating PD-1 and PD-L1 expression.
We then used an in vitro system to examine whether and how F. nucleatum-modulated PD-L1 expression in human CRC cells. We treated human DLD1 and Caco-2 CRC cells with F. nucleatum (1:1000) and found that the bacterial exposure upregulated PD-L1 transcription and protein expression (Fig. 4c, d). Importantly, when DLD1 cells were treated with F. nucleatum clinical isolates obtained from CRC patients, PD-L1 expression was also enhanced (Fig. 4e).
We additionally found that F. nucleatum activated NF-κB (p65) (Fig. 4f and Supplementary Fig. S9a), one of the most important transcription factors involved in PD-L1 expression.25 The F. nucleatum-mediated upregulation of PD-L1 expression was abrogated by an NF-κB inhibitor BAY 11–7082 (Fig. 4g and Supplementary Fig. S9b). Thus, it is likely that F. nucleatum-modulated PD-L1 transcription by activating NF-κB (p65).
F. nucleatum activates stimulator of interferon genes (STING) signaling in CRC cells
Accumulating evidence has shown that that the activation of STING signaling can activate NF-κB signaling and up-regulate PD-L1 expression.26,27 Given the important role of STING signaling in the anti-PD-1/PD-L1 treatment of patients with tumors,28 it is no surprise that F. nucleatum might activate STING signaling and thereby up-regulate PD-L1 expression by NF-κB, consequently enhancing the therapeutic effect of PD-L1 blockade.
The activation of STING signaling involves the expression of multiple factors including cyclic GMP-AMP (cGAMP) synthase (cGAS), phosphorylation of STING and phosphorylation of tank-binding kinase 1(TBK-1).28 To determine whether F. nucleatum triggered the activation of STING signaling, we treated human DLD1 cells with F. nucleatum (1:1000) and found that the bacterial exposure activated STING signaling by upregulation of cGAS expression and phosphorylation of STING (Fig. 5a). The F. nucleatum-mediated activation of NF-κB (p65) and upregulation of PD-L1 expression was abrogated by an inhibitor of human STING signaling H151 (Fig. 5b). In addition, we treated mouse CT26.WT cells with F. nucleatum (1:1000) and found that F. nucleatum treatment also activated STING signaling (Fig. 5c). The treatment of C176 that is an inhibitor of mouse STING signaling also down-regulated the expression of PD-L1 induced by F. nucleatum treatment (Fig. 5d).
In addition, we evaluated whether F. nucleatum enhanced the therapeutic effect of PD-L1 blockade by activating the STING signaling in murine models of CRC. CT26.WT were subcutaneously implanted in the flanks of BALB/c mice, followed by C176 treatment and intratumoral injection of F. nucleatum and PD-L1 blockade. The F. nucleatum-mediated reduction of tumor volume with PD-L1 blockade was abrogated by the C176 (Fig. 5e–g). Moreover, the treatment of C176 abrogated the increasing abundance of IFN-γ+ CD8+ TILs caused by F. nucleatum and PD-L1 blockade treatment (Fig. 5h).
These results suggest that F. nucleatum treatment enhances the therapeutic effect of PD-L1 blockade by activating the STING signaling.
F. nucleatum improves therapeutic responses to PD-L1 blockade in CRC organoids
To explore the clinical effects of F. nucleatum, we developed an ex vivo model of organoids derived from clinical CRC tissues cultured with TILs derived from the patients and F. nucleatum (Supplementary Fig. S10a, b). Tumor cell proliferation was significantly reduced in the organoids treated with F. nucleatum and the anti-PD-L1 mAb compared with those treated only with F. nucleatum (Fig. 6a, b), and tumor cell apoptosis was significantly increased in F. nucleatum and an anti-PD-L1 mAb-treated organoids (Fig. 6a, c and Supplementary Fig. 10c). In contrast, PD-L1 blockade did not significantly affect cell proliferation or apoptosis in organoids that were not treated with F. nucleatum (Fig. 6a–c). These results suggest that F. nucleatum exposure increases the sensitivity of clinical CRC samples to the antitumor effects of PD-L1 blockade.
In order to further confirm whether the results of organoids are consistent with murine models and cell lines, we detected the changes in CD8+ and IFN-γ+ CD8+ TILs in different groups of organoids. F. nucleatum treatment increased the proportion of CD8+ and IFN-γ+ CD8+ TILs in the organoids treated with PD-L1 blockade (Fig. 6d, e). In addition, F. nucleatum treatment activated STING signaling by upregulation of cGAS expression and NF-κB signaling by phosphorylation of p65 and increased PD-L1 expression (Fig. 6f).
Taken together, our results show that F. nucleatum activates STING signaling and upregulates PD-L1 expression in CRC tumors. During anti-PD-L1 mAb treatment, F. nucleatum recruits IFNγ+ CD8+ TILs to kill tumors.
Discussion
Increasing evidence suggests that the composition of the host microbiome influences the efficacy of anti-PD-1/PD-L1 therapy.8,11 Commensal Bifidobacterium augments dendritic cell function, thereby enhancing CD8+ T-cell responses and increasing anti-PD-L1 mAb therapeutic efficacy.10 Akkermansia muciniphila increases the efficacy of PD-1 blockade against epithelial tumors by increasing the recruitment of CCR9+ CXCR3+ CD4+ T cells.11 A consortium of 11 bacterial strains elicits CD8+ T-cell responses and enhances the therapeutic efficacy of anti-PD-1 therapy.24 However, these bacteria rarely colonized the tumor tissues evaluated. We focused on CRC, which is characterized by rich microbial communities, and studied the impact of F. nucleatum, which is enriched in CRC tissues, on the effect of PD-L1 blockade. We found that the presence of F. nucleatum in CRC tissues and the intestine affected the treatment outcome of anti-PD-L1 therapy via recruitment of IFN-γ+ CD8+ TILs.
STING is an adaptor protein that induces the secretion of type I interferons and pro-inflammatory cytokines in response to pathogen and host-derived cytosolic DNA.28 There is evidence that intratumoral accumulation of gut microbiota facilitates CD47-based immunotherapy via STING signaling.29 Given that STING signaling is a mediator in antitumor immune response, the combination treatment with STING agonists and PD-1/PD-L1 blockade induced regression of tumors compared to PD-1/PD-L1 blockade alone.26,30 In addition, tumors from mice treated with a STING agonist showed increased PD-L1 expression and IFN-γ+ CD8+ TILs.26 However, little is known about the mechanism of activation of the STING signaling pathway in tumor cells. We have found that F. nucleatum can activate the STING signaling in CRC cells, further confirming that activation of the STING signaling in tumor cells can also enhance the therapeutic effect of PD-L1 blockade.
Previous reports revealed that F. nucleatum plays detrimental roles in the occurrence and development of CRC by enhancing chemotherapeutic tolerance and suppressing immunity.9,16,18 Our results elucidated an alternative role for F. nucleatum in improving the therapeutic outcome in CRC. Likewise, a defined commensal consortium that contains another Fusobacterium, Fusobacterium ulcerans, enhances the therapeutic efficacy of anti-PD-1 therapy by inducing IFN-γ+ CD8+ T cells. In addition, Salmonella typhimurium, another pathogenic bacteria, has been shown to induce potent antitumor effects by activating the immune system.31–33 In particular, Salmonella typhimurium mutant VNP20009 and its genetically modified strain TAPET-CD have even been applied in clinical trials.34,35 These results suggest that some pathogenic bacteria may strengthen the antitumor immune response induced by immunotherapy, including that in the tumor site, under certain conditions. In addition, genetic engineering to modify pathogenic bacteria to enhance the effect of immunotherapy and reduce the pathogenicity of bacteria is worthy of further attention.
In this study, we have found that F. nucleatum can activates STING signaling in CRC cells, thereby transcriptionally regulating the expression of PD-L1 through NF-κB. The anti-PD-L1 antibody treatment blocks the binding of PD-1 of TILs and PD-L1 of tumor cells, and further increases IFN-γ+ CD8+ TILs to kill tumor cells. Our findings provide a potential biomarker for clinically predicting the therapeutic effect of PD-1/PD-L1 blockade.
Materials and methods
Cell culture
Human CRC cell lines DLD1 and Caco-2 and mouse colon cancer cell line CT26.WT were purchased from the American Type Culture Collection. Caco-2 and CT26.WT cells were cultured in RPMI-1640 medium (Gibco, Carlsbad, CA) supplemented with 10% fetal bovine serum (FBS). DLD1 cells were cultured in DMEM (Gibco, Carlsbad, CA) supplemented with 10% FBS. Human TILs derived from clinical CRC tissues were cultured in RPMI-1640 medium supplemented with ImmunoCult Hu CD3/CD28 T-Cell Act (10971, STEMCELL), 10 ng/mL IL-2 (abs04045, Absin) and 10% FBS. Mouse TILs derived from mouse CRC tissues were cultured in RPMI-1640 medium supplemented with 0.2 μM anti-Ms-CD3 antibody (1553057, BD Pharmingen), 0.5 μM anti-Ms-CD28 antibody (2553294, BD Pharmingen), 10 ng/mL IL-2 (abs00970, Absin) and 10% FBS. All cells were cultured in a humidified atmosphere with 5% CO2 at 37 °C. For the inhibitor-treatment experiments, cells were pre-treated with 5 μM NF-κB inhibitor BAY 11–7082 (Abcam, ab141228) or 1 μM STING inhibitor CSN22907 C176 (CSNpharm, CSN22907) for 2 h and then treated with F. nucleatum (1:1000).
Bacterial culture
The F. nucleatum strain ATCC 25586 was obtained from the American Type Culture Collection. F. nucleatum was cultured in Columbia blood agar supplemented with 5 mg/mL hemin, 5% defibrinated sheep blood, and 1 mg/mL vitamin K1 (Sigma-Aldrich) in an anaerobic incubator at 37 °C. The E. coli strain DH-5α (Tiangen, China) was grown in Luria-Bertani medium with shaking at 37 °C under aerobic conditions (20% O2).
Clinical samples
CRC tumor tissue samples and feces were obtained at Shanghai Tenth People’s Hospital affiliated with Tongji University. For collection of feces s, eligible patients were diagnosed pathologically and clinically as advanced cancer. The patients were treated with an anti-PD-1 mAb alone or in combination with other drugs for at least one course of treatment, and the feces were collected for detection of the F. nucleatum content before treatment. For collection of fresh CRC tissues, Patients were pathologically diagnosed with CRC. After surgical resection, the fresh CRC tissues were used to cultivate organoids and isolate TILs. Written informed consent was obtained from all patients, and the study was approved by the Ethical Committee of Shanghai Tenth People’s Hospital (ID Number: SHSY-IEC-4.1/19–180/02) and registered by the Chinese Clinical Trial Registry (ID Number: ChiCTR1900028063).
Western blotting
Cells were lysed in lysis buffer (2% sodium dodecyl sulfate, 50 mM dithiothreitol, 10% glycerol, and 100 mM Tris-HCl, pH 6.8). The cell lysates were separated by 10% SDS-polyacrylamide gel electrophoresis and transferred to a nitrocellulose membrane (Millipore, USA). Subsequently, the membrane was blocked with 5% fat-free milk or 2% BSA for 1 h and probed successively with a primary antibody overnight at 4 °C and an HRP-conjugated secondary antibody (1:2000, Proteintech) at 37 °C for 1 h. Immunoreactive bands were visualized using HRP Substrate Luminol Reagent (Millipore, USA) and detected using the Amersham Imager 600 (GE, USA). Actin was used as a loading control. The following primary antibodies were used: rabbit polyclonal antibodies against NF-κB p65 (1:1000, Cell Signaling Technology, 8242 s), NF-κB p65 phospho S276 (1:1000, Abcam, ab197426), Phospho-mSTING (1:1000, Cell Signaling Technology, 72971), Phospho-hSTING (1:500, Cell Signaling Technology, 50907), STING (1:1000, Cell Signaling Technology, 13647), TBK1/NAK (1:1000, Cell Signaling Technology, 3504), and Phospho-TBK1/NAK (1:1000, Cell Signaling Technology, 5483), a mouse monoclonal antibody against PD-L1 (1:1000, Abcam, ab210931), and an HRP-conjugated anti-actin mAb (1:2000, Qihe Biological Co., Ltd.).
Quantitative real-time RT-PCR
Total RNA was obtained with TRIzol Isolation Reagent (Invitrogen), and M-MLV Reverse Transcriptase (Promega) was used to synthesize cDNA. Quantitative real-time PCR analysis of target genes was carried out with Power SYBR Green PCR Master Mix (Applied Biosystems) using an ABI 7500 detection system (Thermo Fisher Scientific). The manufacturer’s general protocol was followed. The following primer pairs were used: PD-L1, 5’-TACTGTCACGGTTCCCAAGG-3’ (forward) and 5’-GGAGAGCTGGTCCTTCAACA-3’ (reverse); and Actin, 5’-CATCCTCACCCTGAAGTACCC-3’ (forward) and 5’-AGCCTGGATAGCAA CGTACATG-3’ (reverse). The 2 (-Delta Delta CT) method was utilized to evaluate gene expression levels. The expression of target genes was normalized to that of actin.
Assessment of F. nucleatum abundance
Genomic DNA was extracted from fresh and frozen clinical feces samples using a fece DNA kit (D4015–01, Omega Bio-tek) and the QIAamp DNA Mini Kit (51304, QIAGEN), respectively. The amplification and detection of F. nucleatum DNA were performed using TaqPathTM 1-Step Multiplex Master Mix (1952734, Applied Biosystems) on an Applied Biosystems 7500 detection system. The PGT gene was used as a control. The probes and primers (Applied Biosystems) were as follows: FAM probe for F. nucleatum, 5’-GTTGACTTTACAGAAGGAGATTA-3’; VIC probe for PGT, 5’-CCATCCATGTCCTCATCTC-3’; F. nucleatum primers, 5’-CAACCATTACTTTAACTCTACCATGTTCA-3’ (forward) and 5’-GTTGACTTTACAGAAGGAGATTATGTAAAAATC-3’ (reverse); and PGT primers, 5’-ATCCCCAAAGCACCTGGTTT-3’ (forward) and 5’-AGAGGCCAAGATAGTCCTGGTAA -3’ (reverse). The method for F. nucleatum detection was performed as described previously.18 For the content of F. nucleatum in feces, the median is a cut-off point, which divides patients into high F. nucleatum groups and low F. nucleatum groups; and for the content of F. nucleatum in tumor tissues, no CT value was considered to be Fn-, the others were Fn + .
Fluorescence in situ hybridization (FISH)
F. nucleatum in formalin-fixed paraffin-embedded tissues was detected by FISH, as described previously.12,36 The sequence of the Cy3-labeled F. nucleatum probe (5’-CGCAATACAGAGTTGAGCCCTGC-3’) was synthesized by Sangon Biotech Company (Shanghai, China).
Immunohistochemistry (IHC)
IHC was applied to detect protein expression according to a standard protocol.36 Immunohistochemical staining was performed with an anti-PD-L1 antibody (1:100, Roche, clone no. SP263) and anti-Ki-67 antibody (1:100, Gene Tech, clone no. SP6). Cells showing membranous staining for PD-L1 and nuclear staining for Ki-67 were considered as positive cells. For the detection of mismatch repair (MMR) proteins, The following primary antibodies were used: MLH1 (1:100, Gene Tech, clone no. GM002), MSH2 (1:100, Gene Tech, clone no. RED2), MSH6 (1:100, Gene Tech, clone no. EP49), and PMS2 (1:100, Gene Tech, clone no. EP51). A negative staining of at least one mismatch repair protein is considered to be dMMR. All staining was blindly scored by two pathologists according to the intensity of staining.
Mice
For xenograft experiments, 4- to 6-week-old male BALB/c mice were obtained from Shanghai Slark Experimental Animal Co., Ltd. The rodents were supplied with drinking water containing streptomycin (2 mg/mL) and penicillin (2000 U/mL) for 1 week before CT26.WT cells (5 × 106) were subcutaneously injected into the right flank. The mice were randomized into different groups. When the tumor volume reached ~100 mm3, 109 colony-forming units (CFU) of F. nucleatum or DH-5α or an equal volume of PBS was administered by multipoint intratumoral injection every 3 days until the end of the experiments. Alternatively, another treatment model was established with F. nucleatum (109 CFU), DH-5α (109 CFU) or PBS given by gavage. One-hundred micrograms of anti-mouse PD-L1 antibody (BP0101, BioXcell) or an isotype control mAb, which was used as a control, was intraperitoneally administered every 3 days starting on the next day after the first bacterial treatment until the end of the experiment. In studies where CD8+ T cells were depleted, 200 μg of anti-mouse CD8 antibody (BE0004–1, BioXcell) was administered by intraperitoneal injection 2 days before treatment with the anti-mPD-L1 antibody and every 3 days thereafter. In studies where STING signaling was inhibited, 1 μM of C176 (CSN22907, CSNpharm) was administered by intraperitoneal injection 1 day before treatment with F. nucleatum and every 2 days thereafter. The length and width of tumors were measured every 2 days with a caliper. Tumor volume was calculated with the formula (length × width2)/2. Relative tumor volume was calculated by dividing tumor volume on Day X by tumor volume on Day 0.
For AOM/DSS-induced CRC model, 6-week-old male C57BL/6 mice (Shanghai Slark Experimental Animal Co., Ltd) were fed with 2 mg/mL streptomycin and 0.8 mg/mL penicillin in the drinking water for 1 week. The mice were treated with azoxymethane (AOM, 12 mg/kg) by intraperitoneal injection for 1 week followed by 7 successive days of 2% (w/v) DSS in the drinking water, and then were given regular drinking water for 2 weeks. Then the mice were additionally given 2 cycles of 2% DSS in the drinking water for 1 week and regular drinking water for 2 weeks. F. nucleatum (2 × 109 CFU) or PBS was administered to the mice by gavage every two days until the end of the experiment. An anti-mPD-L1 mAb (100 mg) or an isotype control mAb was administered by intraperitoneal injection once every 3 days for a total of 12 days beginning F. nucleatum treatment for 1 week. Then the mice were sacrificed and the number of tumors was counted.
Mouse experiments were performed in strict accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals and approved by the Experimental Animal Ethical Committee of Shanghai Tenth People’s Hospital (ID Number: SHSY-2018–3566).
Patient-derived organoids (PDOs)
Biopsies from CRC patients were collected in 5 mL of PBS containing penicillin-streptomycin on ice. After gently washing and mincing the tissue samples into ~1–2 mm3 pieces, the samples were digested with 10 mL of gentle cell dissociation reagent (07174, STEMCELL) on ice on a rocking platform for 30 min. The dissociated cells were passed through a 100-μm cell strainer, pelleted and suspended in ice-cold PBS. The centrifuged cells were then resuspended in growth factor reduced (GFR) Matrigel (356231, Corning) and seeded in a 24-well flat-bottom cell culture plate (3548, Corning). Following solidification at 37 °C in a 5% CO2 incubator for 30 min, 300 μL of human IntestiCult™ Organoid Growth Medium (06010, STEMCELL; supplemented with Y27632 (72304, STEMCELL) for the primary culture) was overlaid in the wells coated with Matrigel, and the culture medium was replaced every two days. To passage PDOs, organoids were harvested with ice-cold PBS and were dissociated with mechanical force by pipetting with a 1-mL pipette (160 times per well). The dissociated PDOs were pelleted and washed with ice-cold PBS. The dissociated cells were mixed with human TILs (105/well) and F. nucleatum (108 CFU) according to the experimental design. The mixtures were resuspended in GFR Matrigel and cultured in organoid growth medium supplemented with ImmunoCult Hu CD3/CD28 T-Cell Act (10971, STEMCELL), 10 ng/mL IL-2 (abs04045, Absin) and 10% FBS. Ten micrograms of anti-PD-L1 mAb (Roche, clone no. SP263) or isotype control mAb was added to the cell culture plate after 48 h, and the mixtures were incubated for 1 week.
Acquisition of TILs
Fresh CRC tumor tissue samples from clinical surgery were cut into small pieces and treated with a human tumor dissociation kit (130–096–929, Miltenyi Biotec). Single-cell suspensions were obtained with a Gentle MACS Octo 8 (Miltenyi Biotec) and subsequently filtered through 70-µm cell strainers (BD Pharmingen). Single-cell suspensions were treated with the Human Pan T-cell Isolation kit (130096535, MACS) to obtain TILs, according to the manufacturer’s instructions.
Cell apoptosis assay
The cell apoptosis of organoids was detected with the In Situ Cell Death Detection Kit, Fluorescein (11684795910, Roche, Germany). Briefly, organoids were centrifuged at 300 rpm, and the pellets were embedded in paraffin. The paraffin-embedded sections of organoids were dewaxed, rehydrated, treated with Proteinase K (V900887, Sigma), and permeabilized. After labeling with a TdT-mediated dUTP Nick-End Labeling (TUNEL) reaction mixture according to the manufacturer’s instructions, slides were analyzed with an Olympus BX51 fluorescence microscope. TUNELs BX51 fluoresce (green) and total cells (blue) in five regions of the slide were quantified. The proportion of apoptotic cells was calculated by the formula (Number of TUNEL-positive cells/Number of total cells).
Flow cytometry analyses
Mouse tumor samples were cut into small pieces and treated with a mouse tumor dissociation kit (130–096–730, Miltenyi Biotec). Single-cell suspensions were obtained with a Gentle MACS Octo 8 (Miltenyi Biotec) and subsequently filtered through 70-µm cell strainers (BD Pharmingen). For intracellular IFN-γ detection, cells were pre-stimulated with Leukocyte Activation Cocktail with BD GolgiPlug (550583, BD Pharmingen) at 37 °C for 4–6 h. Dead cells were excluded using FVD506 (65086618, eBioscience). For surface staining, cells (105) were stained with 5 μL anti-CD4, CD8 and PD-1 antibodies in 100 μL of staining buffer for 30 min at room temperature and dark. For intracellular staining, cells were resuspended in 1 mL of Transcription Factor Staining Buffers (5523, eBioscience) and incubated at room temperature for 45 min, then centrifuged to discard the supernatant. One-hundred microliters of Transcription Factor Staining Buffers was added to resuspend the cells, then anti-IFN-γ antibody was added at room temperature Incubate in the dark for 30 min; was added to resuspend the cells (eBioscience, Cat#5523), and then anti-FOXP3 and IFN-γ antibodies were added to the cell suspension and incubated in the dark at room temperature for 30 min. Date was performed on a FACSCanto™ flow cytometer (Becton Dickinson, San Jose, CA, USA) and Flowjo was used to analyze the flow cytometry data. The following antibodies were used: anti-mouse antibodies specific for CD4 (557667 and 557307, BD Pharmingen), CD8 (551162, BD Pharmingen), FOXP3 (560401, BD Pharmingen; 12–5773–82, eBioscience), IFN-γ (FITC and 563376, BD Pharmingen), and PD-1 (551892, BD Pharmingen) and anti-human antibodies specific for CD3 (564713, BD Pharmingen), CD8 (560662, BD Pharmingen), and IFN-γ (562988, BD Pharmingen). The dilution of all antibodies was 1:20.
Statistical analysis
All statistical analyses were performed with GraphPad Prism 6 software or the statistical package for IBM SPSS Institute 20. Each experiment was repeated at least three times. The P-values for comparisons between two groups were obtained with a two-sided Student’s t-test. One-way ANOVA followed by a Bonferroni post hoc test was used for multiple comparisons. The Pearson’s χ2 test was used to evaluate associations. Analyses of overall survival and progression-free survival (PFS) were performed using Kaplan–Meier survival curves and log-rank test. P < 0.05 was considered statistically significant (*P < 0.05; **P < 0.01).
Supplementary information
Acknowledgements
This work is supported by the National Natural Science Foundation of China (8177100280, 81730102, 81972221, and 81702037), Science and Technology Commission of Shanghai (20ZR1442800) and Clinical research plan of SHDC (No.SHDC2020CR2069B, No.SHDC2020CR5006–002 and No.SHDC12019114).
Author contributions
H.-L.Q., and Q.W. designed the experiments. Y.-H.G., R.-T.X., H.-Y.Z., Y.C., and M.-C.X. conducted the experiments in vitro. Y.-H.G., J.G, J.-Y.Z., H.L., and T.-T.D conducted the experiments in vivo, M.L., J.-M.F., X.-L.G., and Q.X. conducted the clinical experiment. D.-X.B. analyzed the data, Y.-H.G., D.-X.B., and Q.X. wrote the manuscript. All authors have read and approved the article.
Data availability
All data supporting this paper are present within the paper and/or the Supplementary Materials. The original datasets are also available from the corresponding author upon request.
Competing interests
The authors declare no competing interests.
Footnotes
These authors contributed equally: Yaohui Gao, Dexi Bi, Ruting Xie
Change history
12/21/2021
A Correction to this paper has been published: 10.1038/s41392-021-00840-9
Contributor Information
Qing Wei, Email: weiqing1971@tongji.edu.cn.
Huanlong Qin, Email: qinhuanlong@tongji.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41392-021-00795-x.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data supporting this paper are present within the paper and/or the Supplementary Materials. The original datasets are also available from the corresponding author upon request.