1. Introduction
Anal canal cancer (squamous cell carcinoma in 95% of cases) is a rare disease accounting for 2.5% of digestive cancers [
1]. Human papillomavirus (HPV) infection (mainly, HPV16 and HPV18) is responsible for 90% to 95% of anal squamous cell carcinoma (ASCC) [
2]. Other important risk factors include immune suppression, human immunodeficiency virus (HIV), and tobacco smoking [
3].
Most patients (95%) present with local/locoregional disease at diagnosis. The aim of the treatment of localized/locally advanced ASCC is to cure the patient and achieve the best local control while maintaining a functional anal sphincter. The treatment is based on radiotherapy (RT), usually combined with 5-fluorouracil-based chemotherapy (chemoradiotherapy, CRT), and achieves approximately 80% of complete pathological response with a recurrence-free survival at 3 years of approximately 70% [
4]. Surgery (abdominoperineal resection, APR) should be discussed in the cases of primary failure of RT/CRT or locoregional relapse [
5]. Salvage surgery is associated with 60% of overall survival rates and 40% of relapses [
6]. The treatment of metastatic relapses relies on systemic therapy (chemotherapy, immunotherapy).
The main prognostic factors of localized/locally advanced ASCC are tumor size, differentiation, lymph node involvement, HPV status, and male gender [
7,
8]. However, they are insufficient to predict the 10–20% of metastatic relapses that are observed after RT/CRT. Recently, it has been shown that the intestinal microbiome is associated with human diseases, including cancer [
9]. Moreover, the intratumoral microbiota (i.e., bacteria found within the tumor) can also play a role in modulating carcinogenesis, immune infiltrates, and chemoresistance [
10,
11].
Fusobacterium nucleatum is among the most studied bacteria in digestive tract cancers and has been described as a poor prognostic factor in esophageal [
12], gastric [
13], pancreatic [
14], and colorectal [
15,
16,
17] cancers. In contrast, our team reported that high intratumoral
F. nucleatum load was associated with longer survival in oral squamous cell carcinoma (OSCC) and was associated with a favorable immune microenvironnement [
18].
In this study, we assessed the association between intratumoral F. nucleatum load and clinicopathological features, relapse, and survival in a homogeneous multicenter cohort of patients with ASCC who underwent APR after the failure of RT or CRT.
2. Materials and Methods
2.1. Patients
This retrospective multicenter study involved nine French centers and included all consecutive ASCC patients who underwent APR for tumor persistence or local relapse after RT or CRT from January 1996 and February 2016. We selected all patients with complete clinical and histological data and a follow-up of at least 2 years. The diagnosis of ASCC was confirmed by histology in all cases. Demographic, clinical data and tumor features, details on initial treatment by RT or CRT, indication for APR (tumor persistence or local relapse), and histological parameters from the APR were collected. After completion of RT or CRT, a persistent ulceration or a re-emergence of the anal lesion within 6 months of completion of RT was classified as persistent disease, while lesions appearing after 6 months post-RT were classified as a relapse.
Relapse was defined by the first occurrence of one of the two following events after APR: local for pelvic relapse, and metastatic for distant relapse. The study was conducted in accordance with the ethics principles of the Declaration of Helsinki and the General Data Protection Regulation (GDPR). According to French regulations, this study did not need informed consent. Patients were informed of the study by each investigator and did not express opposition.
2.2. Genomic DNA Extraction
For each patient, six tissue sections of 6 μm thickness were obtained from FFPE samples and a seventh tissue section was stained with HE. The tumor-rich areas were macrodissected using a single-use blade and the samples underwent proteinase K digestion in a rotating incubator at 56 °C for 3 days. DNA was extracted with the NucleoSpin kit (Macherey-Nalgen, Hoerdt, France) according to supplier recommendations. DNAs were quantified using Nanodrop spectrophotometer ND-1000 (ThermoScientific, Wilmington, DC, USA). In order to rule out external contaminations for F. nucleatum analysis, we included negative controls (buffers/reagents without tumor samples) and the samples were manipulated under a hood with masks and gloves.
2.3. Fusobacterium nucleatum Status Analysis by Real-Time Quantitative PCR
F. nucleatum was quantified using a real-time quantitative PCR according to the same protocol as our previous study [
18]. Briefly, detection of the fluorescence signal associated with the growth of PCR products was performed and we normalized
F. nucleatum levels on the basis of
JUN contents [
18].
HPV detection and genotyping were performed using Real-time PCR and specific primers for HPV16, and PCR to detect HPV L1 DNA and Sanger sequencing for HPV16-negative samples as previously described [
19].
2.4. Statistical Methods
Associations among binary variables were assessed by the Chi-squared test for large samples (n > 60) and Fisher’s exact test for small samples (n < 60). Statistical significance was set at p < 0.05.
Loads of
F. nucleatum are very heterogeneous among the population and one-third of the population has extremely low quantities < 0.001 (
n = 52) (
Figure S1). Cutting the population in two would have resulted in an important heterogeneity of the lowest half including patients with a difference of 100 times the loads of
F. nucleatum. The division into four or more was not mathematically possible because two different groups would have had the same values. Therefore,
F. nucleatum quantification was considered as terciles in order to separate the population into groups according to
F. nucleatum loads.
Survival endpoints were defined according to the DATECAN consensus [
20]. Overall survival (OS) was defined as the time from APR to death resulting from any cause. Disease-free survival (DFS) was measured from the date of APR to the time of relapse (either local or distant) or death. Metastasis-free survival (MFS) was from the date of APR to the time of metastatic relapse or death. In the absence of an event, patients were censored at the date of the last follow-up. Survival curves were estimated using the Kaplan–Meier technique and compared with the log-rank test. The Cox proportional hazard regression model was used for both univariate and multivariate analyses and for estimating the hazard ratio (HR) with a 95% confidence interval (95%CI). Prognostic factors tested in the univariate analysis were age, gender, TNM stage, type pre-operative treatment, tumor invasion depth, tumor differentiation, vascular emboli, lymphatic and perineural invasion, resection margins, and HPV status. Significative prognostic factors in the univariate analysis (
p < 0.05) were entered into the final multivariable Cox regression model, after considering redundancy between variables. Gender and initial stage were included in the model as it is a known prognostic factor.
Univariate and multivariate Cox regression analyses and Kaplan–Meier curves were computed using the survival R package. Forest plots used for multivariate analysis were drawn through the forest model R package.
3. Results
3.1. Patient Population
From an initially established cohort of 166 collected patients with APR for persistent or recurrent ASCC after RT/CRT, 154 patients were considered for the study after the exclusion of 12 samples without information for
F. nucleatum status. Survival analysis was restricted to 154 patients evaluable for OS and 153 patients for DFS (
Figure 1).
Patient characteristics are listed in
Table 1. Most patients were female (64%), aged ≤65 years old (66%), and with initial TNM tumor stages II and III (89%); 72% of them had received CRT as initial treatment.
The histological analysis of APR specimen showed a majority of lymph node-negative tumors (79%), with moderate/high differentiation (78%), vascular (61%) and lymphatic (66%) invasion, and R0 resection margins (79%). Here, 16% of tumors were associated with HIV infection, 80% with HPV16 infection and 11% were HPV-negative.
The median OS was 39.4 months from APR (64.3 months from diagnosis) and the median DFS from APR was 20.7 months.
F. nucleatum loads were not statistically different according to individual centers (
p = 0.30) (
Figure S2A) or to the type of initial treatment (
p = 0.49) (
Figure S2B).
3.2. Association of Fusobacterium nucleatum Load with Clinico-Pathological Features, Relapse, and Survival
High loads (upper tercile) of
F. nucleatum were enriched in initial stage II ASCC (
p = 0.02) and not significantly associated with other clinicopathological factors (
Table 2).
One hundred and fifty-four patients were evaluable for OS. The highest tercile of
F. nucleatum load was significantly associated with better OS compared to lower terciles (median: not reached for highest tercile vs. 50.1 months for low/intermediate terciles pooled together,
p = 0.013) (
Figure 2).
A total of 153 patients were evaluable for DFS and MFS. The highest tercile of
F. nucleatum load was associated with better DFS compared to low/intermediate terciles (median: not reached vs. 18.3 months,
p = 0.007) (
Figure 3).
The highest and intermediate terciles of
F. nucleatum load were associated with better MFS compared to the lowest tercile (median: 276.7 months vs. 50.1 months,
p = 0.0054) (
Figure S3). We also performed survival analyses with the diagnosis as the starting point and found once again statistically different survival rates according to
F. nucleatum loads for OS (
p = 0.032), DFS (
p = 0.009), and MFS (
p = 0.02) (
Figure S4).
After excluding patients treated with RT alone, analyses performed in the subgroup of patients treated with CRT (n = 102) showed a significant prognostic value for OS (p = 0.03) and DFS (p = 0.015) but not MFS (p = 0.27).
3.3. Analysis of Survival Predictors
3.3.1. Univariate Analysis
Positive resection margins (HR = 3.81, p < 0.001), lymph node invasion (HR = 3.29, p < 0.001), perineural invasion (HR = 2.58, p < 0.001), lymphatic invasion (HR = 1.72, p = 0.03), and tumor invasion depth (HR = 4.77, p = 0.01) were significantly associated with shorter OS in the univariate analysis. Age ≤ 65 years, tumor invasion depth, vascular emboli, perineural invasion, positive resection margins and lymph node invasion were also significantly associated with poor DFS (HR= 1.78, p = 0.02, HR = 2.71, p = 0.02, HR = 1.71, p = 0.02, HR = 1.90, p < 0.001, HR = 2.95, p < 0.001, and HR = 3.12, p < 0.001, respectively) in the univariate analysis. Age ≤ 65 years, perineural invasion, and lymph node invasion were associated with poor MFS (HR = 2.15, p = 0.02, HR = 1.90, p = 0.02, and HR = 4.11, p < 0.001, respectively) in the univariate analysis. The highest tercile of F. nucleatum load was significantly associated with longer OS (HR = 0.49, p = 0.01), DFS (HR = 0.50, p = 0.008) but not MFS (HR = 0.67, p = 0.2).
3.3.2. Multivariate Analysis
In multivariate analyses, the highest tercile of
F. nucleatum load was significantly associated with longer OS (HR = 0.55,
p = 0.04,
Figure 4A) and DFS (HR = 0.50,
p = 0.02,
Figure 4B) but not MFS (HR = 0.70,
p = 0.29,
Figure S5A). However, the lowest tercile of
F. nucleatum load was significantly associated with shorter MFS (HR = 2.25,
p = 0.006) (
Figure S5B).
Among the clinicopathological parameters tested, positive resection margins and perineural invasion remained associated with poor OS, DFS, and MFS (p < 0.05). Age ≤ 65 years was significantly associated with shorter DFS and MFS (p < 0.05).
4. Discussion
In this work, we assessed the association between intratumoral
F. nucleatum load and clinicopathological features and OS, DFS, and MFS in a cohort of ASCC patients who underwent APR after the failure of RT or CRT. Overall, we showed that
F. nucleatum was an independent predictor of favorable OS, DFS, and MFS. This allowed the identification of a patient subgroup with a remarkably good prognosis (upper tercile). Other independent prognostic indicators included lymph node invasion, positive resection margins, and tumor invasion depth, as previously reported [
7].
The association between
F. nucleatum load and improved survival was unexpected as this bacteria is usually associated with poor prognosis in digestive cancers [
12,
13,
14,
15], particularly in colorectal adenocarcinoma [
15,
16,
17]. However, these results are consistent with studies that showed that
F. nucleatum was associated with better survival in OSCC [
18,
21]. OSCC and ASCC share a common histological type (i.e., squamous cell carcinoma) and are both treated with RT/CRT, while other cancers in which
F. nucleatum showed negative prognostic effect (e.g., colorectal cancer) are adenocarcinoma and not exposed to RT. In our study, survival was analyzed by taking the date of surgery as the starting point. However, the univariate analysis goes in the same direction when we take the date of diagnosis as the starting point (
Figure S4).
This positive survival effect may be mediated by modulation of intratumoral immunity [
18], previously described as an independent prognostic factor in ASCC [
22,
23]. Data regarding the effects of
F. nucleatum on the immune microenvironment are conflicting. Most studies showed the pro-inflammatory and immunosuppressive properties of
F. nucleatum through expansion of myeloid-derived immune cells, Tregs, and M2 macrophages, and inhibition of cytotoxic T-cells [
24,
25,
26,
27]. On the contrary, in our previous study, we observed that OSCC tumors with high
F. nucleatum loads were associated with a specific immune microenvironment poor in M2 macrophages, CD4 lymphocytes, fibroblasts, TLR4, OX40 ligand, and TNFRSF9, but high in TNFSF9 and IL-1ß allowing M1 polarization [
18]. This suggested that intratumoral
F. nucleatum may be associated with a tumor microenvironment insensitive to pro-inflammatory signals resulting in favorable clinical outcomes. Another recent study also reported a positive prognostic value of intratumoral
F. nucleatum in head and neck cancers [
21].
Our current work strengthens the new insight into the prognostic role of intratumoral F. nucleatum in cancer patients. The underlying mechanisms warrant further investigation. Yet our study has some limitations. First, we had only one cohort of patients with ASCC without a validation cohort. However, our cohort is multicentric and unique: it is the largest cohort of ASCC treated by APR and the sample size was significant given the rarity of the disease. In addition, we selected patients who required surgical intervention after the failure of RT/CRT, bringing great homogeneity to our cohort but possibly introducing a selection bias. Nevertheless, the prognostic value of a new parameter is of particular interest in a population at high risk of relapse. Finally, immune microenvironment analysis was not available in our study; it could be of interest to assess the correlation between intratumoral F. nucleatum expression and immune components in further studies. Besides this, F. nucleatum may be a predictive marker for immunotherapy response and need to be assessed in ancillary studies of immunotherapy trials. Immunotherapy is indeed being developed in ASCC but seems to be active only in a small subset of patients, and predictive biomarkers to identify patients who may benefit the most from this approach are needed.
5. Conclusions
In conclusion, we highlight a unique association between F. nucleatum and ASCC patient survival warranting further validation in larger prospective cohorts. Validation of these findings would allow to guide therapeutic strategies in dedicated trials by proposing intensification or de-escalation of systemic treatments and follow-up according to F. nucleatum loads. This can also give a rationale for further exploration of the role of F. nucleatum in ASCC carcinogenesis and response to treatment, particularly immunotherapy.
Supplementary Materials
The following are available online at
https://www.mdpi.com/article/10.3390/cancers14071606/s1, Figure S1: Distribution of normalized and logged Fusobacterium loads in the patient population, Figure S2: Distribution of normalized Fusobacterium loads. Distribution of logged Fusobacterium loads according to individual centers (A) and the type of initial treatment (B), Figure S3: Association between metastasis-free survival and Fusobacterium nucleatum. Metastasis-free survival curves for the Fusobacterium nucleatum divided into three categories according to terciles (A) and two categories according to terciles (B),
n = 153 patients. Figure S4: Association between survival with the diagnosis taken as starting point and Fusobacterium nucleatum. Overall-free survival (A), disease-free survival (B), and metastasis-free survival (C) curves for the Fusobacterium nucleatum divided into three categories according to terciles, Figure S5: Prognostic value of clinicopathological factors and Fusobacterium nucleatum. Multivariate analysis for the clinicopathological factors regarding metastasis-free-survival (
n = 150 patients), with the highest tercile (A) or lowest tercile (B) as a reference for Fusobacterium loads.
Author Contributions
Conceptualization, M.H., C.N., J.H.L., M.S., S.V., L.B., E.S., J.L., J.-F.E., E.R., N.R.-L., C.d.L.F., D.T., W.C., P.M., L.C., M.D., V.D.-M., A.L. and I.B.; methodology, C.N., A.L. and I.B.; software, M.H.; validation, C.N., A.L. and I.B.; formal analysis, M.H.; investigation, C.N., A.L., I.B. and P.D.; resources, J.H.L., M.S., S.V., L.B., E.S., J.L., J.-F.E., E.R., N.R.-L., C.d.L.F., D.T., W.C., P.M., L.C., M.D. and V.D.-M.; data curation, C.N., A.L. and I.B.; writing—original draft preparation, M.H.; writing—review and editing, M.H., C.N., J.L., M.S., S.V., L.B., E.S., J.L., J.-F.E., E.R., N.R.-L., C.d.L.F., D.T., W.C., P.M., L.C., M.D., V.D.-M., A.L. and I.B.; visualization, C.N., A.L. and I.B.; supervision, C.N., A.L. and I.B.; project administration, C.N., I.B. and A.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Rennes University Hospital (number 21.113, 31 August 2021).
Informed Consent Statement
The study was performed in accordance with the ethics principles of the Declaration of Helsinki and the General Data Protection Regulation (GDPR). In accordance with the French regulations, this study did not need a signed informed consent. Patients were informed of the study and did not express opposition.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Conflicts of Interest
CN: Consultancy/honoraria: Pierre Fabre, Servier, Roche, AstraZeneca, Bristol-Myers Squibb, Amgen, Merck, MSD, Novartis, Incyte Biosciences, Mylan, Baxter, Nutricia, Fresenius Kabi; Research funding: Roche; Clinical trials: OSE Immunotherapeutics, AstraZeneca. AL: Consultancy/honoraria: AAA, Amgen, Bayer, BMS, HalioDx, Incyte, Ipsen, Merck, Novartis, Pierre Fabre, Roche, Sandoz, Sanofi, and Servier; Travel or congress support: AAA, Bayer, Ipsen, Merck, Mylan, Novartis, Pfizer, Roche, and Servier; Research funding: Bayer, Lilly, Novartis; DT: Consultancy/honoraria: Merck KGaA, Sanofi, Roche Genentech, MSD, BMS, Astra Zeneca, Servier, Pierre Fabre, Sandoz, and Amgen. JL: Consultancy/honoraria: Servier. JHL: Consultancy/honoraria: Ethicon, Takeda, Intuitive, B-Braun, Safeheal, and Coloplast. Travel or congress support: Biomup and MD start. Other authors declare no competing interests. ES: consultancy/honoraria: Merck KGa, Sanofi, Roche, MSD, BMS, Astra Zeneca, Servier, Pierre Fabre Oncology Bayer, Novartis, Sandoz, and Amgen. LB: Consultancy/honoraria: intuitive, Merck. Other authors declare no competing interests.
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