Purpose:

Emerging evidence indicates that gut microbiome plays a crucial role in the cancer pathogenesis. Although Fusobacterium nucleatum (F. nucleatum) is associated with poor prognosis in multiple cancers, its clinical significance in predicting response to chemotherapy in patients with esophageal squamous cell carcinoma (ESCC) remains unclear.

Experimental Design:

The F. nucleatum levels were quantified by qPCR assays in tumor tissues from 551 patients with ESCC from two independent cohorts, including 101 patients who received neoadjuvant chemotherapy prior to curative resection. Associations between F. nucleatum burden and recurrence-free survival (RFS), as well with chemotherapeutic response were evaluated using response evaluation criteria in solid tumors (RECISTs), primary tumor metabolic response defined by maximum standardized uptake value (SUVmax) changes in positron emission tomography-CT (PET/CT), and pathologic tumor regression grade (TRG).

Results:

High burden of F. nucleatum in patients with ESCC associated with poor RFS in both training [log-rank P = 0.02; HR = 1.61; P = 0.03] and validation cohorts (log-rank P = 0.003; HR = 1.96; P = 0.004). Importantly, patients with ESCC with high levels of F. nucleatum displayed poor chemotherapeutic response for all three evaluation methods: RECIST (P = 0.04), SUVmax change in PET/CT (P = 0.0004), and TRG (P = 0.003).

Conclusions:

We conclude that high levels of intratumoral F. nucleatum have a prognostic significance for predicting poor RFS in patients with ESCC. More importantly, our data indicates that higher F. nucleatum burden correlates with poor response to neoadjuvant chemotherapy, suggesting the possibility that an antibiotic intervention against this bacterium may significantly improve therapeutic response in patients with ESCC.

Translational Relevance

Esophageal squamous cell carcinoma (ESCC) is a disease with high mortality rates. The standard treatment strategy for locally advanced ESCC comprises neoadjuvant chemoradiotherapy or chemotherapy (NAC), followed by surgery; however, there is lack of availability of adequate biomarkers to predict chemotherapeutic response. Fusobacterium nucleatum (F. nucleatum) has been identified as an important bacterium linked to the pathogenesis of multiple human cancers. In this study, we investigated its clinical significance in patients with ESCC and demonstrated that higher levels of F. nucleatum are an independent risk factor for predicting poor recurrence-free survival. Furthermore, we illustrate that using RECIST, PET/CT, and TRG analysis, higher burden of F. nucleatum predicts poor response to NAC. Our data highlight that F. nucleatum levels serve as an important prognostic and predictive biomarker, and suggest the possibility of using an antibiotic intervention to target this bacterium for improving the chemotherapeutic response in patients with ESCC.

Esophageal cancer is the sixth most common cause of cancer-related deaths worldwide (1). In spite of advances in multimodal therapies, including surgical removal of tumors, chemotherapy, radiotherapy and chemoradiotherapy, esophageal cancer remains a malignancy with high degree of fatality and overall 5-year survival rates of 15% to 20% (2, 3). Globally, esophageal squamous cell cancer (ESCC) is the predominant histologic subtype of esophageal cancer (4). In particular, ESCC cases make up to 80% of all esophageal cancers in developing countries (5). The standard treatment strategy for locally advanced esophageal cancer in Western and Asian countries comprises neoadjuvant chemoradiotherapy or chemotherapy (NAC), followed by surgery (6, 7). Previous studies have shown that patients who respond well to NAC often exhibit improved overall survival (8, 9). A combination of cisplatin and 5-fluorouracil (5-FU) is currently used as standard chemotherapeutic regimen for patients with esophageal cancer; however, the reported response rates remain relatively poor (10, 11). A recent study reported that addition of docetaxel to this regimen significantly improved the therapeutic response in patients with node-positive esophageal cancer (12). Nevertheless, most tumors acquire resistance to chemotherapeutic agents with subsequent treatment failure. Furthermore, there is currently no effective molecularly targeted therapy available for esophageal cancer, and the efficacy of immunotherapy in these patients remains unclear.

To improve treatment response in patients with esophageal cancer, it is of paramount importance to elucidate the underlying mechanism(s) that confer chemotherapeutic resistance in these patients. It has been postulated that cancer chemoresistance is attributed to complex interplay between gene regulation and external environmental factors. In this context, in recent years, gut microbiota has garnered a lot of attention in various malignancies, and it has been linked to both initiation and progression of gastrointestinal cancers through modulation of intestinal inflammation (13–15) and tumor-related signaling pathways (16). Recent studies have demonstrated that composition of the gut microbiome can significantly influence response to immunotherapy (17) and chemotherapy (18). Two recent independent studies identified an overabundance of Fusobacterium nucleatum (F. nucleatum) in colorectal cancer tissues using metagenomic analysis (19, 20) and a high prevalence of F. nucleatum in these tissues associated with worse overall survival (21). In line with these observations, we identified that even in patients with ESCC, the presence of intratumoral F. nucleatum in neoplastic tissues was significantly associated with poor patient survival (22). Interestingly, building upon this growing evidence, a recent study reported that patients with colorectal cancer who experienced increased incidence of tumor recurrence also possessed significantly higher burden of intratumoral F. nucleatum in their primary cancer tissues compared with those who did not exhibit tumor recurrence (23). In functional studies, F. nucleatum has been shown to enhance colorectal cancer chemoresistance through modulation of autophagy (23). In spite of the collective evidence highlighting the clinical importance of F. nucleatum in gastrointestinal cancers, whether changes in its expression levels contributes to patient prognosis and chemotherapeutic response in patients with ESCC has not yet been explored.

Accordingly, in this study, we report that increased levels of intratumoral F. nucleatum associate with advanced tumor stage and poor survival. We also observed that higher burden of this microorganism in ESCC tissues predicted recurrence-free survival (RFS), as well as associated with poor response to NAC in patients with ESCC.

Patients and sample collection procedures

This study analyzed a total of 551 cases with ESCC, which consisted of two independent clinical cohorts. A first patient cohort (training) included 207 patients with ESCC, who were surgically treated at the Nagoya University Hospital (Nagoya, Japan) between October 2001 and October 2015. The second patient cohort (validation) comprised 344 patients with ESCC who underwent surgical resections, including 316 with radical surgeries, at the Kumamoto University Hospital (Kumamoto, Japan) between 2005 and 2016. Furthermore, this cohort included 187 patients that experienced surgery alone, 41 who received neoadjuvant chemoradiation therapy and 116 patients with NAC. Among these 116 patients in the NAC group, 101 patients were treated with two cycles of docetaxel, cisplatin, and 5-FU (DCF) regimen. The study workflow is summarized in Supplementary Fig. S1. Tumor depth (clinical T1–3) and regional lymph node involvement without distant metastases (N1) were used as the selection criteria for selecting patients for NAC treatment. Recurrence-free survival (RFS) was defined as the time period between the date of surgery to the time of tumor recurrence or death. Our study was conducted in accordance with the Declaration of Helsinki. A written informed consent was obtained from each patient, and the institutional review boards of all participating institutions approved this study. The patient characteristics are summarized in Table 1. The median follow-up duration for all cases after surgery was 20.4 months in the training cohort and 31.5 months in the validation cohort. The pathologic diagnosis of all ESCC tumor tissue specimens was confirmed histologically, and the tumor–node–metastasis (TNM) staging was determined according to the American Joint Committee on Cancer staging handbook (7th edition; ref. 24), prior to and after surgery.

Table 1.

F. nucleatum expression levels and relationship with various clinicopathologic features in patients with ESCC

Training cohort (n = 207)Validation cohort (n = 344)
F. nucleatum expressionF. nucleatum expression
LowHighPLowHighP
Age (range) 66 (44–84) 66 (44–83) 0.26 66 (41–86) 65 (49–89) 0.82 
Sex   0.62   >0.99 
 Male 76 83  228 72  
 Female 21 27  34 10  
Location   0.29   0.42 
 Upper 14 10  171 50  
 Lower 83 100  91 32  
Tumor size, cm 4.5 (1.5–17.0) 4.5 (2.2–14.0) 0.78 3.5 (1.1–15.0) 4.2 (1.2–14.5) 0.004 
SCC, ng/mL 1.2 (0.2–22.8) 1.2 (0.2–7.3) 0.44 NA NA NA 
T category   0.03   <0.0001 
 T1 26 17  126 17  
 T2–4 69 93  136 65  
 Undefined  NA NA  
Lymph node metastasis   0.88   0.12 
 Absent 34 38  141 33  
 Present 63 72  121 49  
Tumor stage   >0.99   0.03 
 I–II 42 48  169 40  
 III–IV 53 62  93 42  
 Undefined  NA NA  
Differentiation   0.16   NA 
 Well-mod 79 93  NA NA  
 Poor 17 13  NA NA  
 Undefined  NA NA  
Preoperative treatment   0.03   0.01 
 Present 41 59  108 49  
 Absent 58 49  154 33  
Training cohort (n = 207)Validation cohort (n = 344)
F. nucleatum expressionF. nucleatum expression
LowHighPLowHighP
Age (range) 66 (44–84) 66 (44–83) 0.26 66 (41–86) 65 (49–89) 0.82 
Sex   0.62   >0.99 
 Male 76 83  228 72  
 Female 21 27  34 10  
Location   0.29   0.42 
 Upper 14 10  171 50  
 Lower 83 100  91 32  
Tumor size, cm 4.5 (1.5–17.0) 4.5 (2.2–14.0) 0.78 3.5 (1.1–15.0) 4.2 (1.2–14.5) 0.004 
SCC, ng/mL 1.2 (0.2–22.8) 1.2 (0.2–7.3) 0.44 NA NA NA 
T category   0.03   <0.0001 
 T1 26 17  126 17  
 T2–4 69 93  136 65  
 Undefined  NA NA  
Lymph node metastasis   0.88   0.12 
 Absent 34 38  141 33  
 Present 63 72  121 49  
Tumor stage   >0.99   0.03 
 I–II 42 48  169 40  
 III–IV 53 62  93 42  
 Undefined  NA NA  
Differentiation   0.16   NA 
 Well-mod 79 93  NA NA  
 Poor 17 13  NA NA  
 Undefined  NA NA  
Preoperative treatment   0.03   0.01 
 Present 41 59  108 49  
 Absent 58 49  154 33  

NOTE: Boldface indicates all values that were statistically significant (greater than P < 0.05).

Patient treatments

The NAC regimen consisted of 2-hour intravenous administration of 60 mg/m2 docetaxel beginning on day 1, a 24-hour continuous intravenous infusion of 350 mg/m2 5-FU from days 1 through 5, and 1-hour intravenous administration of 6 mg/m2 cisplatin from days 1 through 5. Two scheduled courses of NAC regimen were administered 3 weeks apart prior to esophagectomy. Surgery was carried out within 4 to 6 weeks following the final treatment day of preoperative chemotherapy, when curative resection was considered feasible.

DNA extraction and quantitative PCR assays

Genomic DNA from fresh frozen tissues in the training cohort were extracted using AllPrep DNA/RNA/miRNA Universal Kit (Qiagen). Likewise, genomic DNA from the formalin-fixed paraffin-embedded (FFPE) tissues in the validation cohort were extracted using the QIAamp DNA FFPE Tissue Kit (Qiagen). The amount of F. nucleatum DNA was quantified by use of a qPCR assay. The nus G gene of F. nucleatum and the reference human gene SLCO2A1 were amplified using custom TaqMan primer/probe sets (Applied Biosystems) in 384-well optical PCR plates, as described previously (22).

Evaluation of response to chemotherapy using RECIST

The response to chemotherapy was assessed in the validation cohort using Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 (25). Briefly, CT images were analyzed using with the following definitions: complete response (CR), as disappearance of all clinical and radiologic evidence of the tumor; partial response (PR), as decrease of 30% or more in the sum of longest diameters of all target measurable lesions; progressive disease (PD), as increase of more than 20% of the sum of longest diameters of all target measurable lesions or the appearance of new lesions; and stable disease (SD), as all other indications. Patients with CR or PR were defined as responders, while PD and SD were classified as nonresponders.

PET/CT imaging

A total of 86 of 101 patients who received NAC also underwent PET/CT using a hybrid PET/CT imager, consisting of a dedicated GSO full-ring PET scanner and a 16-slice helical CT scanner (Gemini GXL16, Philips Medical Solutions). All patients fasted for a minimum of 5 hours prior to the examination. Emission scans were acquired in a 3D mode, with a 144 × 144 matrix, 60 minutes after intravenous injection of 185–300 MBq 18F-fluoro-deoxy-glucose (FDG), immediately after urination. PET/CT transmission data were acquired for the area defined from the base of the skull to the proximal thighs. Standardized uptake value (SUVmax) response was classified as follows (26): complete metabolic response (CMR), as complete resolution of FDG uptake within the measurable target lesion, with the appearance of no new lesion; partial metabolic response (PMR), with at least 30% reduction in SUVmax of FDG uptake; progressive metabolic disease (PMD), with more than 30% increase in the SUVmax of the FDG uptake or appearance of FDG avid new lesion/s that is/are morphologically typical of cancer; stable metabolic disease (SMD), as disease which did not qualify for CMR, PMR, or PMD. Patients with CMR or PMR were defined as responders.

Pathologic tumor regression grading criteria

The histopathologic response to NAC was classified into four categories according to the following criteria (27): grade 1, as no evidence of viable tumor cells; grade 2, with less than 10% viable tumor cells; grade 3, with 11%–50% viable tumor cells; and grade 4, with more than 50% viable tumor cells. Subsequently, grade 1–3 tumors were combined as the group of patients with response (TRG 1–3), while grade 4 tumors were classified as nonresponders (TRG 4).

Statistical analysis

All statistical analyses were carried out using JMP, version 10 (SAS Institute). Continuous variables were expressed as medians and were compared using a t test or Mann–Whitney U test. Categorical variables were compared using χ2 or Fisher exact test. All P values were calculated using a two-sided test, and a P <0.05 was considered statistically significant. For time-to-event analyses, survival estimates were calculated using the Kaplan–Meier analysis, and the survival differences between groups were compared using the log-rank test. Associations between RFS and clinicopathologic features were evaluated by univariate Cox proportional hazards regression analysis. Parameters determined to be significant by univariate analysis were included in multivariate Cox proportional hazards regression analysis. Similarly, we analyzed associations between chemotherapeutic response and clinicopathologic features using by univariate and multivariate logistic regression analysis.

The levels of F. nucleatum are significantly higher in patients with ESCC

We first assessed the burden of F. nucleatum in ESCC tissues by a qPCR assay in two independent patient cohorts, where matched cancer and normal tissues were available. We observed that F. nucleatum DNA levels were significantly higher in cancer tissues compared with the paired adjacent normal tissues in both cohorts (training cohort; n = 45, P = 0.006; validation cohort; n = 48, P < 0.0001; Fig. 1A and B, respectively).

Figure 1.

F. nucleatum expression in patients with ESCC. The expression of F. nucleatum in 45 pairs of ESCC and adjacent normal tissue in the training cohort (A) and in 48 pairs of the validation cohort (B). The relative amount of F. nucleatum in 207 ESCC tissue according to T category in training cohort (C), and in 344 ESCC tissue (D) in validation cohort (*, P < 0.05; **, P < 0.01; ***, P < 0.001).

Figure 1.

F. nucleatum expression in patients with ESCC. The expression of F. nucleatum in 45 pairs of ESCC and adjacent normal tissue in the training cohort (A) and in 48 pairs of the validation cohort (B). The relative amount of F. nucleatum in 207 ESCC tissue according to T category in training cohort (C), and in 344 ESCC tissue (D) in validation cohort (*, P < 0.05; **, P < 0.01; ***, P < 0.001).

Close modal

We next analyzed the abundance of F. nucleatum in the training (n = 207) and validation (n = 344) cohorts, based upon all tumor stages. Interestingly, we observed a marked enrichment of F. nucleatum in patients with ESCC with advanced (T2-T4) versus those with an earlier stage disease (T1), in both cohorts (P < 0.05; Fig. 1C and D).

Higher levels of F. nucleatum associated with advanced stage disease in ESCC

Next, we determined the associations between F. nucleatum burden and various clinicopathologic features in two independent ESCC patient cohorts (training cohort; n = 207 and validation cohort; n = 344). The cut-off thresholds to categorize tumors into the high and low groups were determined using ROC analysis and Youden index, based on the level of F. nucleatum that provided the highest sensitivity and specificity to predict ESCC recurrence in the training cohort. The same cut-off values were then applied to the patient in the validation cohort to evaluate survival. We observed that there was no effect of age (P = 0.26), gender (P = 0.62), tumor location (P = 0.29), or N stage (P = 0.88) on the expression of expression of F. nucleatum in the cancer tissues within the training cohort. Similar results were noted in the validation cohort for age (P = 0.82), gender (P > 0.99), location (P = 0.42), and N stage (P = 0.12).

However, in the training cohort, high intratumoral F. nucleatum levels were associated with higher T category (P = 0.03) and in patients who received preoperative treatment (P = 0.03). Similarly, high levels of intratumoral F. nucleatum were significantly associated with larger tumor size (P = 0.004), higher T category (P < 0.001), higher TNM stage (P = 0.03), and in patients who underwent preoperative treatment (P = 0.01) in the validation cohort (Table 1). Collectively, our results indicate that high levels of F. nucleatum associate with an invasion depth in patients with ESCC.

Increased burden of F. nucleatum associate with higher tumor recurrence, poor RFS, and serve as a prognostic indicator for patients with early-stage ESCC

Considering that presence of F. nucleatum in cancer cells is associated with advanced disease, we were curious to interrogate its relationship with tumor recurrence in patients with ESCC. Therefore, we determined the relationship between the F. nucleatum levels and cancer recurrence in the training cohort of 207 patients (87 patients with recurrence and 120 without recurrence), wherein we observed a significant association for higher F. nucleatum levels in patients with recurrence (P = 0.04; Fig. 2A). Likewise, these findings were subsequently confirmed in the validation cohort of 316 patients with ESCC, which included 91 patients without recurrence and 225 with recurrence. Here again, we noted that the overall levels of F. nucleatum were significantly higher in neoplastic tissues in ESCC patients with recurrence versus those without recurrence (P = 0.01; Fig. 2B).

Figure 2.

High intratumoral F. nucleatum is associated with worse prognosis in ESCC. Comparison of F. nucleatum expression levels in patients with or without recurrence in the training (A) and the validation cohort (B). Kaplan–Meier analysis of RFS for patients with ESCC with high (red) or low (blue) F. nucleatum levels in the training (C) and the validation cohort (D). Kaplan–Meier analysis of RFS for patients with ESCC with low F. nucleatum levels in T1 (blue) or T2–4 tumor (pink), or high F. nucleatum levels in T1 (red) or T2–4 tumor (green) in the training (E) and the validation cohort (F). Fn, Fusobacterium nucleatum (*, P < 0.05).

Figure 2.

High intratumoral F. nucleatum is associated with worse prognosis in ESCC. Comparison of F. nucleatum expression levels in patients with or without recurrence in the training (A) and the validation cohort (B). Kaplan–Meier analysis of RFS for patients with ESCC with high (red) or low (blue) F. nucleatum levels in the training (C) and the validation cohort (D). Kaplan–Meier analysis of RFS for patients with ESCC with low F. nucleatum levels in T1 (blue) or T2–4 tumor (pink), or high F. nucleatum levels in T1 (red) or T2–4 tumor (green) in the training (E) and the validation cohort (F). Fn, Fusobacterium nucleatum (*, P < 0.05).

Close modal

To determine whether intratumoral F. nucleatum burden in patients with ESCC is associated with RFS, we performed Kaplan–Meier analysis in both cohorts. Interestingly, patients in the training cohort with high versus low intratumoral F. nucleatum levels exhibited a significantly poor RFS (log-rank P = 0.02; Fig. 2C); a finding which was also true when interrogated in the independent validation cohort (log-rank P = 0.003; Fig. 2D).

Because we observed a higher burden of F. nucleatum in patients with advanced ESCC (T2–4 vs. T1), we investigated whether the presence of this bacterium had any effect on patient survival, even in early ESCC. Patients with advanced ESCC stratified by the T category alone (T2–4 vs. T1) exhibited poor prognosis in both patient cohorts (Supplementary Fig. S2A and S2B). Importantly, however, when the T category was combined together with the F. nucleatum levels, we observed that even patients with early-stage T1 ESCC with high levels of this bacterium exhibited a worse RFS, which was similar to the one noted for patients with advanced disease, in both cohorts (training cohort: log-rank P = 0.002 and validation cohort: log-rank P = 0.009, Fig. 2E and F, respectively). These findings highlight that presence of high levels of F. nucleatum indicate an important prognostic biomarker potential for this bacterium in patients with ESCC.

High levels of F. nucleatum serve as an independent risk factor for RFS in patients with ESCC

Next, we were curious to investigate the clinical significance of F. nucleatum levels in term of patient survival in the context of other clinicopathologic features, using univariate and multivariate analysis, in both patient cohorts. In the training cohort, univariate Cox regression analysis revealed that patients with proximal location of tumors (HR = 2.04; 95% CI, 1.10–3.50; P = 0.02), and those with higher TNM stages (III/IV vs. I/II; HR = 3.32; 95% CI, 2.05–5.63; P < 0.0001), and those with high levels of F. nucleatum were associated with poor RFS (HR = 1.61; 95% CI, 1.06–2.52; P = 0.03; Table 2). These findings were further evaluated in a multivariate Cox model adjusted for various clinicopathologic features, which were in agreement with our univariate analysis and demonstrated that proximal location of tumors (HR = 3.09; 95% CI, 1.64–5.45; P = 0.001), and those with higher TNM stages (III/IV vs. I/II; HR = 3.78; 95% CI, 2.30–6.46; P < 0.0001), and those with high levels of F. nucleatum were associated with poor RFS (HR = 1.72; 95% CI, 1.12–2.70; P = 0.01), suggesting that this bacterium was indeed an independent risk factor for predicting poor RFS in the patients within the training cohort.

Table 2.

High levels of F. nucleatum serve as an independent risk factor for predicting RFS in patients with SESCC

Training cohort (n = 207)Validation cohort (n = 316)
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
HR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (<65) 0.71 (0.91–2.21) 0.12   1.00 (0.66–1.53) 0.99   
Male 1.42 (0.85–2.49) 0.18   1.10 (0.60–2.25) 0.78   
Upper tumor 2.04 (1.10–3.50) 0.02 3.09 (1.64–5.45) 0.001 0.95 (0.62–1.48) 0.81   
Preoperative therapy 1.09 (0.71–1.66) 0.7   1.96 (1.29–3.00) 0.002 0.87 (0.49–1.53) 0.61 
TNM stage (III–IV) 3.32 (2.05–5.63) <0.0001 3.78 (2.30–6.46) <0.0001 3.08 (2.03–4.72) <0.0001 3.21 (1.81–5.70) <0.0001 
F. nucleatum high 1.61 (1.06–2.52) 0.03 1.72 (1.12–2.70) 0.01 1.96 (1.23–3.04) 0.004 1.70 (1.06–2.65) 0.03 
Training cohort (n = 207)Validation cohort (n = 316)
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
HR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (<65) 0.71 (0.91–2.21) 0.12   1.00 (0.66–1.53) 0.99   
Male 1.42 (0.85–2.49) 0.18   1.10 (0.60–2.25) 0.78   
Upper tumor 2.04 (1.10–3.50) 0.02 3.09 (1.64–5.45) 0.001 0.95 (0.62–1.48) 0.81   
Preoperative therapy 1.09 (0.71–1.66) 0.7   1.96 (1.29–3.00) 0.002 0.87 (0.49–1.53) 0.61 
TNM stage (III–IV) 3.32 (2.05–5.63) <0.0001 3.78 (2.30–6.46) <0.0001 3.08 (2.03–4.72) <0.0001 3.21 (1.81–5.70) <0.0001 
F. nucleatum high 1.61 (1.06–2.52) 0.03 1.72 (1.12–2.70) 0.01 1.96 (1.23–3.04) 0.004 1.70 (1.06–2.65) 0.03 

NOTE: Boldface indicates all values that were statistically significant (greater than P < 0.05).

We subsequently confirmed our findings in an independent validation cohort, wherein, once again we observed that in univariate analysis, preoperative therapy (HR = 1.96; 95% CI, 1.29–3.00; P = 0.002), TNM stages (HR = 3.08; 95% CI, 2.03–4.72; P < 0.0001), and higher burden of F. nucleatum (HR = 1.96; 95% CI, 1.23–3.04; P = 0.004) was significantly associated with worse RFS. Similarly, in multivariate analysis, TNM stages (HR = 3.21; 95% CI, 1.81–5.70; P < 0.0001) and high levels of F. nucleatum (HR = 1.70; 95% CI, 1.06–2.65; P = 0.03) were significantly associated with poor RFS. Collectively, these data demonstrate that high levels of intratumoral F. nucleatum are an independent risk factor for poor RFS in patients with ESCC.

Intratumoral F. nucleatum burden correlates with worse chemotherapeutic response in patients with ESCC

We examined whether higher burden of intratumoral F. nucleatum have any correlation with response to NAC in patients with ESCC. We first investigated this association in the context of imaging data available to us from the CT scans. Of the 101 patients who underwent NAC treatment in the validation cohort, the F. nucleatum-high group had a significantly lower number of responders [i.e., patients with CR or PR; 42.9% (12/28) vs. 67.1% (49/73) in the F. nucleatum-low group; P = 0.04; Fig. 3A and B].

Figure 3.

Intratumoral F. nucleatum levels are associated with chemotherapeutic response. Chemotherapeutic response and the rate of responders in the validation cohort by comparing F. nucleatum high (red) and low (blue) patients using RECIST (A and B), PET/CT (C and D), and TRG (E and F). PET/CT, positron emission tomography/computed tomography; RECIST, response evaluation criteria; TRG, tumor regression grade (*, P < 0.05; **, P < 0.01, ***, P < 0.001).

Figure 3.

Intratumoral F. nucleatum levels are associated with chemotherapeutic response. Chemotherapeutic response and the rate of responders in the validation cohort by comparing F. nucleatum high (red) and low (blue) patients using RECIST (A and B), PET/CT (C and D), and TRG (E and F). PET/CT, positron emission tomography/computed tomography; RECIST, response evaluation criteria; TRG, tumor regression grade (*, P < 0.05; **, P < 0.01, ***, P < 0.001).

Close modal

Next, we interrogated this correlation as determined by the metabolic response rates determined by SUVmax values obtained from PET/CT imaging. Reassuringly, these analyses also revealed that patients with higher burden of F. nucleatum had significantly fewer responders [i.e., patients with CMR or PMR; 47.6% (10/21) vs. 87.7% (57/65) in the low F. nucleatum group; P = 0.0004; Fig. 3C and D].

Finally, we performed the pathologic assessment of all patients based upon tumor regression grade (TRG) analysis. In these analyses, we noted that F. nucleatum levels were significantly higher in patients with ESCC with a low versus high pathologic response (TRG 4 vs. TRG 1, 2 and 3; P = 0.003; Fig. 3E and F). Taken together, these results illustrate that patients with high intratumoral levels of F. nucleatum appear to have greater resistance to NAC treatment.

High levels of F. nucleatum serve as an independent risk factor for predicting response to neoadjuvant chemotherapy in patients with ESCC

Next, we analyzed the results of CT (RECIST), PET/CT, and TRG in univariate and multivariate settings to determine the clinical significance of F. nucleatum as a potential biomarker of chemotherapeutic response in patients with ESCC belonging to the validation cohort. The univariate logistic regression analysis revealed that higher levels of F. nucleatum associated with an overall poor chemotherapeutic response to NAC in all three approaches [RECIST: (OR), 2.72; 95% CI 1.12–6.78, P = 0.03; PET/CT: OR, 7.84; 95% CI 2.58–25.4, P = 0.0003; and TRG: OR, 11.6; 95% CI 2.25–214, P = 0.001; Table 3].

Table 3.

Intratumoral F. nucleatum burden correlates with worse chemotherapeutic response in patients with ESCC

Univariate analysisMultivariate analysis
CharacteristicsOR (95% CI)POR (95% CI)P
RECIST 
 Age (vs. ≥65) 1.47 (0.65–3.41) 0.35   
 Male (vs. female) 2.42 (0.68–11.3) 0.18   
 Upper tumor location (vs. lower) 1.14 (0.48–2.74) 0.77   
 T category, 3–4 (vs. 1–2) 0.83 (0.34–2.03) 0.68   
 Lymph node metastasis 5.88 (1.02–111) 0.04 6.95 (1.19–135) 0.03 
F. nucleatum high (vs. low) 2.72 (1.12–6.78) 0.03 2.97 (1.19–7.73) 0.02 
PET/CT 
 Age (vs ≥ 65) 1.65 (0.57–5.18) 0.35   
 Male (vs. female) 2.10 (0.34–40.6) 0.47   
 Upper tumor location (vs. lower) 0.92 (0.32–2.93) 0.89   
 T category, 3–4 (vs. 1–2) 10.0 (1.89–186) 0.004 9.74 (1.66–187) 0.008 
 Lymph node metastasis 0.43 (0.09–2.27) 0.3   
F. nucleatum high (vs. low) 7.84 (2.58–25.4) 0.0003 7.66 (2.37–26.8) 0.0006 
TRG 
 Age (vs. ≥ 65) 0.56 (0.20–1.49) 0.25   
 Male (vs. female) 0.25 (0.01–1.38) 0.13   
 Upper tumor location (vs. lower) 1.53 (0.57–4.02) 0.39   
 T category, 3–4 (vs. 1–2) 2.56 (0.95–6.85) 0.06 2.05 (0.74–5.70) 0.17 
 Lymph node metastasis 1.88 (0.36–7.48) 0.45   
F. nucleatum high (vs. low) 11.6 (2.25–214) 0.001 10.3 (1.96–190) 0.003 
Univariate analysisMultivariate analysis
CharacteristicsOR (95% CI)POR (95% CI)P
RECIST 
 Age (vs. ≥65) 1.47 (0.65–3.41) 0.35   
 Male (vs. female) 2.42 (0.68–11.3) 0.18   
 Upper tumor location (vs. lower) 1.14 (0.48–2.74) 0.77   
 T category, 3–4 (vs. 1–2) 0.83 (0.34–2.03) 0.68   
 Lymph node metastasis 5.88 (1.02–111) 0.04 6.95 (1.19–135) 0.03 
F. nucleatum high (vs. low) 2.72 (1.12–6.78) 0.03 2.97 (1.19–7.73) 0.02 
PET/CT 
 Age (vs ≥ 65) 1.65 (0.57–5.18) 0.35   
 Male (vs. female) 2.10 (0.34–40.6) 0.47   
 Upper tumor location (vs. lower) 0.92 (0.32–2.93) 0.89   
 T category, 3–4 (vs. 1–2) 10.0 (1.89–186) 0.004 9.74 (1.66–187) 0.008 
 Lymph node metastasis 0.43 (0.09–2.27) 0.3   
F. nucleatum high (vs. low) 7.84 (2.58–25.4) 0.0003 7.66 (2.37–26.8) 0.0006 
TRG 
 Age (vs. ≥ 65) 0.56 (0.20–1.49) 0.25   
 Male (vs. female) 0.25 (0.01–1.38) 0.13   
 Upper tumor location (vs. lower) 1.53 (0.57–4.02) 0.39   
 T category, 3–4 (vs. 1–2) 2.56 (0.95–6.85) 0.06 2.05 (0.74–5.70) 0.17 
 Lymph node metastasis 1.88 (0.36–7.48) 0.45   
F. nucleatum high (vs. low) 11.6 (2.25–214) 0.001 10.3 (1.96–190) 0.003 

NOTE: Boldface indicates all values that were statistically significant (greater than P < 0.05).

Likewise, multivariate analysis also revealed that high levels of intratumoral F. nucleatum burden was an independent risk factor for poor response to NAC in all three criteria (RECIST: OR, 2.97; 95% CI 1.19–7.73, P = 0.02; PET/CT: OR, 7.66, 95% CI 2.37–26.8, P = 0.0006; and TRG: OR, 10.3; 95% CI 1.96–190, P = 0.003). Collectively, these results illustrate that F. nucleatum is an important independent risk factor and a potential biomarker for predicting response to NAC in patients with ESCC.

With the growing recognition for the role of microbiome in human disease, over the last decade, one such organism, F. nucleatum, has been identified as an important bacterium linked to the pathogenesis of multiple human cancers. In this study, we for the first time, interrogated the clinical significance of F. nucleatum as a potential prognostic and predictive biomarker of response to neoadjuvant chemotherapy in large, multiple, independent cohort of patients with ESCC, and for the first time, investigated F. nucleatum as a potential predictive biomarker of response to neoadjuvant chemotherapy. In this study, we make several novel observations. First, we demonstrate that F. nucleatum burden is significantly higher in patients with ESCC with advanced disease stage. Second, we describe that higher levels of this bacterium are present in patients with recurrence, and are an independent risk factor for predicting poor RFS in ESCC. Third, we illustrate that using RECIST, PET/CT, and TRG analysis, higher burden of F. nucleatum predicts poor response to neoadjuvant chemotherapy (NAC) in patients with ESCC; collectively highlighting the potential possibility of its prognostic and predictive biomarker utility, as well as suggest the possibility of using an antibiotic intervention to target this bacterium for improving the therapeutic response rates to chemotherapy in patients with ESCC. In addition, as we developed a PCR-based cut-off to measure the F. nucleatum levels in the training cohort patients, and subsequently applied these in an independent validation cohort, we are enthused that our findings can be further validated in prospective settings for response prediction to neoadjuvant chemotherapy.

It has been recognized that F. nucleatum is frequently present in the human oral cavity, and acts as a pathogen in periodontal disease (28). Recently, several studies have reported that high F. nucleatum burden correlates with poor prognosis in colorectal cancer (21, 29, 30). Moreover, we previously reported a similar positive correlation between high F. nucleatum levels and poor overall and cancer-specific survival in patients with ESCC (22). The potential role of F. nucleatum in gastrointestinal cancers is poorly understood. Experimental evidence in colorectal cancer has provided mechanistic insights that F. nucleatum expresses adhesin protein, FadA, on the bacterial cell surface. FadA can bind to E-cadherin, activates β-catenin signaling, and promotes colorectal cancer cell proliferation (31). In this study, F. nucleatum burden was significantly higher in patients with ESCC with advanced stage. However, T1 ESCC patients with high levels of F. nucleatum exhibited a worse RFS, analogous to patients with advanced disease, suggesting that this bacterium, even in patients with early-stage ESCC promotes aggressive tumor behavior and could impact patient prognosis.

To further investigate the role of F. nucleatum, it was recently demonstrated that mice bearing colorectal cancer and treated with an antibiotic were found to have lower levels of this bacterium and exhibited reduced cell proliferation and tumor growth, suggesting that antibiotics may be helpful in the treatment of F. nucleatum–associated cancers (32). Accumulating evidence suggests that the gut microbiota modulates local immune response, and in turn might alter the efficacy of chemotherapy (18, 33) and immunotherapy (34, 35). In one such study, chemotherapeutic response was modulated by adaptive immunity in ovarian cancer (36). Although these preclinical evidences indicates that microbiota appears to modulate chemotherapeutic response in multiple cancer types (37, 38), to the best of our knowledge, none of the studies have thus far evaluated the clinical significance of F. nucleatum in the context of responsiveness to chemotherapeutic treatment in patients with cancer. Herein, we fill this important gap in knowledge, and evaluated therapeutic response using three commonly used and well-established approaches for drug resistance in ESCC patients. In spite of the use of RECIST as one of the most widely used tumor response metric (25), it has several limitations due to its dependence on morphologic changes (39). RECIST criteria can often select lymph nodes as target lesions in patients with ESCC. In contrast, 18F-FDG PET is considered as a superior method which overcomes the limitations of RECIST. Because metabolic changes are thought to be more closely related to malignant potential of tumors (40), PET/CT is emerging as a more accurate noninvasive imaging modality for initial staging and response assessment in patients with ESCC (41). On the basis of these findings, PET response criteria in solid tumors (PERCIST), which is RECIST using 18F-FDG PET, has recently been proposed as an optimal method for standardized evaluation of the metabolic tumor response rates (39).

In this study, we observed significant differences between response classifications and F. nucleatum levels in ESCC tissues. Interestingly, PET response and tumor regression grade (TRG) were more strongly associated with F. nucleatum levels compared with RECIST, in patients with ESCC receiving NAC treatment. While RECIST in patients with ESCC primarily evaluates shrinkage of lymph nodes, PET/CT and TRG reflect the response of the primary tumor itself. In this study, because F. nucleatum levels in tumor tissues correlate with higher T category, our data imply that this bacterium might be involved in modulating chemotherapeutic response more directly. While specific mechanism(s) underlying chemotherapeutic response of F. nucleatum in cancer remain unclear, several studies have investigated bacteria-induced drug resistance using in vitro and in vivo models. Yu and colleagues reported that F. nucleatum activates autophagy-related pathways in colorectal cancer through modulation of TLR4 and MYD88 innate signaling, along with certain miRNAs that subsequently promote chemoresistance (23). Likewise, Geller and colleagues reported that intratumoral gamma-proteobacteria modulated the chemotherapeutic response by converting gemcitabine into an inactive metabolite through regulation of cytidine deaminase in pancreatic cancer (42). Nonetheless, further studies are required to interrogate and validate the findings of this study, and elucidate the mechanisms by which F. nucleatum modulates the chemotherapeutic response in patients with ESCC.

Although our results indicate that F. nucleatum levels could serve as a potential biomarker for predicting survival and response to NAC in patients with ESCC, there are certain limitations of our study. The detection rates of F. nucleatum were different between the training and validation cohorts. We analyzed frozen tissues in the training cohort of patients, and FFPE tissues in the validation cohort. The qPCR method is currently the most commonly used method for the quantification of F. nucleatum levels; however, most the detection rates of F. nucleatum in frozen tissues are generally higher versus FFPE tissues (43, 44). There is a possibility that tissue fixation during the processing of FFPE tissues might be an important factor for the reduced detection rates of F. nucleatum (45) in clinical specimens.

In conclusion, we demonstrate that high intratumoral F. nucleatum levels associated with tumor recurrence and poor RFS in two large, independent cohorts of patients with ESCC. More importantly, our results indicate that high burden of F. nucleatum in ESCC is predictive of response to neoadjuvant chemotherapy. Collectively, our data highlight that F. nucleatum is not only an important predictive biomarker of chemotherapeutic response, but might be a potential target of antibiotic intervention for improving the therapeutic response rates in patients with ESCC.

No potential conflicts of interest were disclosed.

Conception and design: K. Yamamura, B. Hideo, A. Goel

Development of methodology: K. Yamamura, D. Izumi, R. Kandimalla, A. Goel

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): K. Yamamura, D. Izumi, R. Kandimalla, F. Sonohara, Y. Baba, Y. Kodera

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): K. Yamamura, D. Izumi, R. Kandimalla, A. Goel

Writing, review, and/or revision of the manuscript: K. Yamamura, R. Kandimalla, B. Hideo, A. Goel

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K. Yamamura, Y. Kodera, A. Goel

Study supervision: N. Yoshida, B. Hideo, A. Goel

We thank Yuko Ogata, Keisuke Miyake, and Kazuo Okadome for collecting clinical samples and information. We thank Shusuke Toden for editing the manuscript. We thank Lauren J. Patterson, Preethi Ravindranathan, and Divya Pasham for help with performing various experiments. This work was supported by the grants CA72851, CA181572, CA184792, CA202797, and CA187956 from the NCI, a grant (RP140784) from the Cancer Prevention Research Institute of Texas (CPRIT), pilot grants from the Baylor Sammons Cancer Center, as well as funds from the Baylor Scott & White Research Institute.

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.
Bray
F
,
Ferlay
J
,
Soerjomataram
I
,
Siegel
RL
,
Torre
LA
,
Jemal
A
. 
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
.
CA Cancer J Clin
2018
;
68
:
394
424
.
2.
Pennathur
A
,
Gibson
MK
,
Jobe
BA
,
Luketich
JD
. 
Oesophageal carcinoma
.
Lancet
2013
;
381
:
400
12
.
3.
Smyth
EC
,
Lagergren
J
,
Fitzgerald
RC
,
Lordick
F
,
Shah
MA
,
Lagergren
P
, et al
Oesophageal cancer
.
Nat Rev Dis Primers
2017
;
3
:
17048
.
4.
Rustgi
AK
,
El-Serag
HB
. 
Esophageal carcinoma
.
N Engl J Med
2014
;
371
:
2499
509
.
5.
Arnold
M
,
Soerjomataram
I
,
Ferlay
J
,
Forman
D
. 
Global incidence of oesophageal cancer by histological subtype in 2012
.
Gut
2015
;
64
:
381
7
.
6.
van Hagen
P
,
Hulshof
MC
,
van Lanschot
JJ
,
Steyerberg
EW
,
van Berge Henegouwen
MI
,
Wijnhoven
BP
, et al
Preoperative chemoradiotherapy for esophageal or junctional cancer
.
N Engl J Med
2012
;
366
:
2074
84
.
7.
Ando
N
,
Kato
H
,
Igaki
H
,
Shinoda
M
,
Ozawa
S
,
Shimizu
H
, et al
A randomized trial comparing postoperative adjuvant chemotherapy with cisplatin and 5-fluorouracil versus preoperative chemotherapy for localized advanced squamous cell carcinoma of the thoracic esophagus (JCOG9907)
.
Ann Surg Oncol
2012
;
19
:
68
74
.
8.
Gebski
V
,
Burmeister
B
,
Smithers
BM
,
Foo
K
,
Zalcberg
J
,
Simes
J
. 
Survival benefits from neoadjuvant chemoradiotherapy or chemotherapy in oesophageal carcinoma: a meta-analysis
.
Lancet Oncol
2007
;
8
:
226
34
.
9.
Yamashita
K
,
Hosoda
K
,
Moriya
H
,
Katada
C
,
Sugawara
M
,
Mieno
H
, et al
Prognostic advantage of docetaxel/cisplatin/5-fluorouracil neoadjuvant chemotherapy in clinical stage II/III esophageal squamous cell carcinoma due to excellent control of preoperative disease and postoperative lymph node recurrence
.
Oncology
2017
;
92
:
221
28
.
10.
Ancona
E
,
Ruol
A
,
Santi
S
,
Merigliano
S
,
Sileni
VC
,
Koussis
H
, et al
Only pathologic complete response to neoadjuvant chemotherapy improves significantly the long term survival of patients with resectable esophageal squamous cell carcinoma: final report of a randomized, controlled trial of preoperative chemotherapy versus surgery alone
.
Cancer
2001
;
91
:
2165
74
.
11.
Hayashi
K
,
Ando
N
,
Watanabe
H
,
Ide
H
,
Nagai
K
,
Aoyama
N
, et al
Phase II evaluation of protracted infusion of cisplatin and 5-fluorouracil in advanced squamous cell carcinoma of the esophagus: a Japan Esophageal Oncology Group (JEOG) Trial (JCOG9407)
.
Jpn J Clin Oncol
2001
;
31
:
419
23
.
12.
Watanabe
M
,
Baba
Y
,
Yoshida
N
,
Ishimoto
T
,
Nagai
Y
,
Iwatsuki
M
, et al
Outcomes of preoperative chemotherapy with docetaxel, cisplatin, and 5-fluorouracil followed by esophagectomy in patients with resectable node-positive esophageal cancer
.
Ann Surg Oncol
2014
;
21
:
2838
44
.
13.
McColl
KE
. 
Clinical practice. Helicobacter pylori infection
.
N Engl J Med
2010
;
362
:
1597
604
.
14.
Arthur
JC
,
Perez-Chanona
E
,
Muhlbauer
M
,
Tomkovich
S
,
Uronis
JM
,
Fan
TJ
, et al
Intestinal inflammation targets cancer-inducing activity of the microbiota
.
Science
2012
;
338
:
120
3
.
15.
Garrett
WS
. 
Cancer and the microbiota
.
Science
2015
;
348
:
80
6
.
16.
Schwabe
RF
,
Jobin
C
. 
The microbiome and cancer
.
Nat Rev Cancer
2013
;
13
:
800
12
.
17.
Routy
B
,
Le Chatelier
E
,
Derosa
L
,
Duong
CPM
,
Alou
MT
,
Daillere
R
, et al
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
.
Science
2018
;
359
:
91
7
.
18.
Iida
N
,
Dzutsev
A
,
Stewart
CA
,
Smith
L
,
Bouladoux
N
,
Weingarten
RA
, et al
Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment
.
Science
2013
;
342
:
967
70
.
19.
Castellarin
M
,
Warren
RL
,
Freeman
JD
,
Dreolini
L
,
Krzywinski
M
,
Strauss
J
, et al
Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma
.
Genome Res
2012
;
22
:
299
306
.
20.
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
.
21.
Mima
K
,
Nishihara
R
,
Qian
ZR
,
Cao
Y
,
Sukawa
Y
,
Nowak
JA
, et al
Fusobacterium nucleatum in colorectal carcinoma tissue and patient prognosis
.
Gut
2016
;
65
:
1973
80
.
22.
Yamamura
K
,
Baba
Y
,
Nakagawa
S
,
Mima
K
,
Miyake
K
,
Nakamura
K
, et al
Human microbiome Fusobacterium nucleatum in esophageal cancer tissue is associated with prognosis
.
Clin Cancer Res
2016
;
22
:
5574
81
.
23.
Yu
T
,
Guo
F
,
Yu
Y
,
Sun
T
,
Ma
D
,
Han
J
, et al
Fusobacterium nucleatum promotes chemoresistance to colorectal cancer by modulating autophagy
.
Cell
2017
;
170
:
548
63
.
24.
Rice
TW
,
Blackstone
EH
,
Rusch
VW
. 
7th edition of the AJCC Cancer Staging Manual: esophagus and esophagogastric junction
.
Ann Surg Oncol
2010
;
17
:
1721
4
.
25.
Eisenhauer
EA
,
Therasse
P
,
Bogaerts
J
,
Schwartz
LH
,
Sargent
D
,
Ford
R
, et al
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)
.
Eur J Cancer
2009
;
45
:
228
47
.
26.
Izumi
D
,
Yoshida
N
,
Watanabe
M
,
Shiraishi
S
,
Ishimoto
T
,
Kosumi
K
, et al
Tumor/normal esophagus ratio in (18)F-fluorodeoxyglucose positron emission tomography/computed tomography for response and prognosis stratification after neoadjuvant chemotherapy for esophageal squamous cell carcinoma
.
J Gastroenterol
2016
;
51
:
788
95
.
27.
Chirieac
LR
,
Swisher
SG
,
Ajani
JA
,
Komaki
RR
,
Correa
AM
,
Morris
JS
, et al
Posttherapy pathologic stage predicts survival in patients with esophageal carcinoma receiving preoperative chemoradiation
.
Cancer
2005
;
103
:
1347
55
.
28.
Griffen
AL
,
Beall
CJ
,
Campbell
JH
,
Firestone
ND
,
Kumar
PS
,
Yang
ZK
, et al
Distinct and complex bacterial profiles in human periodontitis and health revealed by 16S pyrosequencing
.
Isme j
2012
;
6
:
1176
85
.
29.
Yamaoka
Y
,
Suehiro
Y
,
Hashimoto
S
,
Hoshida
T
,
Fujimoto
M
,
Watanabe
M
, et al
Fusobacterium nucleatum as a prognostic marker of colorectal cancer in a Japanese population
.
J Gastroenterol
2018
;
53
:
517
24
.
30.
Flanagan
L
,
Schmid
J
,
Ebert
M
,
Soucek
P
,
Kunicka
T
,
Liska
V
, et al
Fusobacterium nucleatum associates with stages of colorectal neoplasia development, colorectal cancer and disease outcome
.
Eur J Clin Microbiol Infect Dis
2014
;
33
:
1381
90
.
31.
Rubinstein
MR
,
Wang
X
,
Liu
W
,
Hao
Y
,
Cai
G
,
Han
YW
. 
Fusobacterium nucleatum promotes colorectal carcinogenesis by modulating E-cadherin/beta-catenin signaling via its FadA adhesin
.
Cell Host Microbe
2013
;
14
:
195
206
.
32.
Bullman
S
,
Pedamallu
CS
,
Sicinska
E
,
Clancy
TE
,
Zhang
X
,
Cai
D
, et al
Analysis of Fusobacterium persistence and antibiotic response in colorectal cancer
.
Science
2017
;
358
:
1443
8
.
33.
Viaud
S
,
Saccheri
F
,
Mignot
G
,
Yamazaki
T
,
Daillere
R
,
Hannani
D
, et al
The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide
.
Science
2013
;
342
:
971
6
.
34.
Sivan
A
,
Corrales
L
,
Hubert
N
,
Williams
JB
,
Aquino-Michaels
K
,
Earley
ZM
, et al
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy
.
Science
2015
;
350
:
1084
9
.
35.
Vetizou
M
,
Pitt
JM
,
Daillere
R
,
Lepage
P
,
Waldschmitt
N
,
Flament
C
, et al
Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota
.
Science
2015
;
350
:
1079
84
.
36.
Wang
W
,
Kryczek
I
,
Dostal
L
,
Lin
H
,
Tan
L
,
Zhao
L
, et al
Effector T cells abrogate stroma-mediated chemoresistance in ovarian cancer
.
Cell
2016
;
165
:
1092
105
.
37.
Lehouritis
P
,
Cummins
J
,
Stanton
M
,
Murphy
CT
,
McCarthy
FO
,
Reid
G
, et al
Local bacteria affect the efficacy of chemotherapeutic drugs
.
Sci Rep
2015
;
5
:
14554
.
38.
Panebianco
C
,
Adamberg
K
,
Jaagura
M
,
Copetti
M
,
Fontana
A
,
Adamberg
S
, et al
Influence of gemcitabine chemotherapy on the microbiota of pancreatic cancer xenografted mice
.
Cancer Chemother Pharmacol
2018
;
81
:
773
82
.
39.
Wahl
RL
,
Jacene
H
,
Kasamon
Y
,
Lodge
MA
. 
From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors
.
J Nucl Med
2009
;
50
Suppl 1
:
122s
50s
.
40.
Juweid
ME
,
Cheson
BD
. 
Positron-emission tomography and assessment of cancer therapy
.
N Engl J Med
2006
;
354
:
496
507
.
41.
Sloof
GW
. 
Response monitoring of neoadjuvant therapy using CT, EUS, and FDG-PET
.
Best Pract Res Clin Gastroenterol
2006
;
20
:
941
57
.
42.
Geller
LT
,
Barzily-Rokni
M
,
Danino
T
,
Jonas
OH
,
Shental
N
,
Nejman
D
, et al
Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine
.
Science
2017
;
357
:
1156
60
.
43.
Mehta
RS
,
Nishihara
R
,
Cao
Y
,
Song
M
,
Mima
K
,
Qian
ZR
, et al
Association of dietary patterns with risk of colorectal cancer subtypes classified by Fusobacterium nucleatum in tumor tissue
.
JAMA Oncol
2017
;
3
:
921
27
.
44.
Tahara
T
,
Yamamoto
E
,
Suzuki
H
,
Maruyama
R
,
Chung
W
,
Garriga
J
, et al
Fusobacterium in colonic flora and molecular features of colorectal carcinoma
.
Cancer Res
2014
;
74
:
1311
8
.
45.
Lee
DW
,
Han
SW
,
Kang
JK
,
Bae
JM
,
Kim
HP
,
Won
JK
, et al
Association between Fusobacterium nucleatum, pathway mutation, and patient prognosis in colorectal cancer
.
Ann Surg Oncol
2018
;
25
:
3389
95
.

Supplementary data