Abstract
Background
Porphyromonas gingivalis plays an oncogenic role in development and progression of esophageal squamous cell carcinoma (ESCC). However, the impact of P. gingivalis on local recurrence of early ESCC or precancerous lesion after ESD treatment remains unknown. The present study aimed to evaluate the impact of P. gingivalis on local recurrence after ESD treatment of early ESCC or high-grade dysplasia (HGD).
Methods
The amount of P. gingivalis was assessed by immunohistochemistry in 205 patients with early ESCC or HGD. Univariate and multivariate Cox regression analyses were performed to determine the effect of P. gingivalis on local recurrence. Propensity score matching analysis was performed to reduce the imbalance of baseline characteristics. A nomogram integrating significant prognostic factors was built for local recurrence prediction.
Results
The amount of P. gingivalis increased significantly in neoplasms that invaded up to muscularis mucosa and submucosa compared with lesions confined to epithelium or lamina propria. Overabundance of P. gingivalis was positively associated with invasion depth, post-ESD stricture and local recurrence. Univariate and multivariate Cox regression analyses revealed that P. gingivalis, longitudinal length of lesion and lymphovascular invasion were independent predictors for post-ESD recurrence. A nomogram comprising P. gingivalis, lymphovascular involvement, and lesion length performed well for prediction of post-ESD local recurrence with the concordance indices of 0.72 (95%CI, 0.62 to 0.80), 0.72 (95%CI, 0.63 to 0.80), and 0.74 (95%CI, 0.65 to 0.83) in the validation cohort, the entire cohort, and the subcohort after PSM, respectively.
Conclusion
P. gingivalis overabundance is a risk factor and a potential predictor for local recurrence of early ESCC or HGD after ESD treatment. Thus, clearance of P. gingivalis represents an attractive strategy for prognosis improvement and for prevention of ESCC.
Keywords: Esophageal squamous cell carcinoma, Porphyromonas gingivalis, Endoscopic submucosal dissection, Local recurrence
Introduction
Esophageal squamous cell carcinoma (ESCC) histologically represents more than 90% of esophageal cancer in China [1, 2], which is the fourth most common cancer and the fourth leading cause of cancer-related mortality of the country [3]. In China, the overall 5-year survival rate is about 10% due to the highly aggressiveness of ESCC whereas the long-term outcome is greatly improved if ESCC diagnosed in the early stages [4–6]. Therefore, it is of paramount importance to identify early neoplasia confined to esophagus, which represents the most cost-effective approach to cure ESCC. With the widespread application of esophagogastroscopy, an increasing number of patients are diagnosed in the early stages of ESCC [7–9], which comprises neoplasia limited to m1 (intraepithelia), m2 (invasion of the lamina propria), m3 (invasion of the muscularis mucosa), and superficial submucosa (invasion of submucosa < 500 μm), without any lymphatic or vascular invasion.
At present, these localized diseases can be cured by endoscopic resection (ER) including endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD), surgical resection, and chemoradiotherapy [9–14]. Considering the mortality and morbidity associated with esophagectomy, ER is the treatment of choice for the early-stage ESCC with an almost null risk of lymph node metastasis or for high surgical risk patients with ESCC, especially in elderly patients with concurrent illnesses [7, 10, 11, 15, 16]. Recently, ESD has been recommended to replace EMR because larger and deeper lesions of esophageal cancers can be completely resected by ESD with a higher probability of cure than that of EMR [7, 17–20]. However, it is challenging to identify patients in the early stage of ESCC without lymph node involvement. Numerous retrospective studies demonstrate that lymph node invasion correlates with the depth of tumor invasion, tumor histology and differentiation, and lymphatic or vascular invasion [7]. In the case of invasion depth of lesions, it is reported that lymph node metastases were observed in 0–4.0% of cancers confined to the epithelium and lamina propria, in 0-22.2% of muscularis mucosa cancers and in 25.9–53.8% of submucosal cancers [10, 11, 21–25]. However, the depth of invasion can only be accurately examined once histological examination of the resected specimen is performed. On the other hand, a subset of early-stage ESCC patients after ER develops metastasis or recurrence regardless of invasion depth [10, 11]. Thus, it is more pressing to identify markers related to post-ESD recurrence.
A growing body of evidence indicates a potential causative role of microbial dysbiosis in the etiology of ESCC [26–28]. Porphyromonas gingivalis (P. gingivalis), a key-stone periodontal pathogen, is enriched in ESCC compared to adjacent mucosal tissues, and overabundance of P. gingivalis was associated with poor-differentiation, metastasis, and shorter survival of ESCC patients [29, 30]. Furthermore, serum immunoglobulin G and A antibodies against P. gingivalis have the potential for diagnosis of ESCC including early-stage ESCC, suggesting a tumorigenic role of P. gingivalis in the development and progression of ESCC [31]. However, the potential effect of P. gingivalis on clinical outcome of ER has not been reported in literature. Herein, we examined whether P. gingivalis impacts the outcome of early esophageal epithelial lesions after ESD.
Materials and methods
Patient selection
This study enrolled 205 consecutive patients with early ESCC or high-grade dysplasia (HGD) from the endoscopy center of Zhongshan Hospital of Fudan University between August 2008 and September 2013. The early ESCC comprised m2 ESCC, m3 ESCC, and submucosal ESCC (sm1 ESCC) invading into the submucosal layer up to 200 μm. Inclusion criteria were histologically confirmed HGD or early ESCC, complete resection, absence of residual lesions, no metastasis, alive till the end of the follow-up period, availability of hematoxycilin and eosin slides, and submucosal invasion less than 200 μm. Exclusion criteria were residual lesions after ESD, adenocarcinoma or other diseases before ESD treatment, submucosal invasion more than 200 μm, esophagectomy performed immediately after ESD, esophagogastric junction lesions, and unwilling to commit to complete the follow-up. All data including demography, histopathology, clinical parameters, and follow-up data were recorded in the electronic medical database.
This study was approved by the medical ethics committee of The First Affiliated Hospital of Henan University of Science and Technology, in accordance with the Declaration of Helsinki. Informed consent was waived because this study used retrospective and anonymized individual data.
ESD procedure
All ESD procedure was performed according to our previous report [32]. The senior endoscopists performed ESD with patients under general anesthesia. The ESD was conducted using the hook-knife and isolated-tip knife, or dual knife (Olympus). After ESD, antibiotics (celaclor or cefuroxime), hemocoagulase injections (ethamsylate or P-aminomethybenzoic acid) and omeprazole (40 mg/day) were routinely administered. Patients were put on a soft diet on the 3rd day after ESD treatment unless serious symptoms or complications occurred. The hospitalization was generally 2 to 3 days after ESD treatment.
Histopathological examination
Resected tissue specimens were immobilized onto a Styrofoam plate using thin needles along their edges, fixed in 10% formalin, paraffin-embedded, cut into 5 μm sections and subjected to hematoxylin and eosin staining. All sections were examined microscopically for histological type, depth of invasion, and lymph vascular invasion. Complete resection by ESD was defined as the complete removal of an iodine-unstained lesion or the marking dots placed around the lesion with tumor-free lateral and basal margins. The histology, classification and differentiation were assessed according to the World Health Organization classification [15].
Immunohistochemistry and assessment
Immunohistochemistry (IHC) of P. gingivalis was performed as described previously [29]. Abundance of P. gingivalis in formalin-fixed, paraffin-embeded sections of early lesions of ESCC was assigned a score using a semiquantitative 4-category grading system incorporating staining intensity and percentage of positively stained cells. Youden Index was used for identification of optimal cut-off point to predict local recurrence after ESD.
RNA in situ hybridization
The deparaffinized and rehydrated sections were incubated with citrate buffer (10 nmol/L, pH 6) at 100 °C for 15 min, 10 µg/mL protease (Sigma-Aldrich, St. Louis, MO) at 40 °C for 30 min, P. gingivalis-specific probes in hybridization buffer A (6 × SSC) for 3 h, preamplifier hybridization buffer B for 30 min, amplifier hybridization buffer B at 40 °C for 30 min, label probe for 15 min, and developed using RED, followed by counterstaining with hematoxylin.
Data collection and follow-up
Clinicopathological and endoscopic features including age, gender, disease location, size, tumor type, and histological findings were collected for analysis. After ESD, patients enrolled in our follow-up program were examined with endoscopy at 1, 2, 6, and 12 months in the first year and annually thereafter. Lugol’s staining and biopsy were performed when the previous resection site appeared suspicious for residual or recurrent lesions. Serum squamous cell carcinoma antigen measurement, abdominal ultrasonography and computed tomography were performed in patients if necessary. Follow-up was defined as the time between the date of ESD and January 31, 2018. Local recurrence was defined as metachronous esophageal lesions occurred three months after ESD. Time to local recurrence was calculated from the date of ESD to the time of diagnosis of local recurrence.
Statistical analysis
Statistical analyses were conducted using SPSS 24.0 for Windows (SPSS, Chicago, IL). The differences between categorical variables were compared using the χ2 test or Fisher’s exact test. Local recurrence rates for different variables were depicted using the Kaplan-Meier method and were compared using the log-rank test. Receiver operating characteristic (ROC) curve was generated using the sensitivity and specificity for each predictor of local recurrence within 5 years after ESD. The ROC curves were used to select the optimal cutoff value for P. gingivalis immunostaining score. The univariate and multivariate Cox proportional hazards regression models were used to identify predicative factors for local recurrence. A nomogram was constructed base on the results of multivariate analysis using the R version 4.1.0. The performance of the nomogram was evaluated by concordance index (C-index) and calibration plots. To build a nomogram model, all 205 patients were randomly allocated to the training subgroup (143 patients) and the validation subgroup (62 patients) at a ratio of 7:3 using “sample” in R language [33, 34].
Propensity score matching (PSM) analysis [33, 34] was performed to reduce the imbalance between groups with high- and low-abundance of P. gingivalis based on invasion depth and post-ESD stricture. A nearest-neighbor matching algorithm was utilized for PSM analysis using a multivariable logistic regression model with a tolerated difference between propensity scores less than 20% of the propensity score SD. Propensity scores were calculated for patient matching in a 1:2 ratio with a caliper of 0.01 without replacement.
Results
Clinicopathological characteristics of patients
A total of 205 patients were recruited in this study. Table 1 shows the clinicopathological characteristics of patients. The lesions comprised 79 (38.5%) HGDs, 46 (22.4%) m2 ESCCs, 73 (35.6%) m3 ESCCs, and 7 (3.4%) sm1 ESCCs. The median follow-up time of these patients was 64 months (range, 5 to 110 months). During follow-up, 14.6% (30 of 205) of the patients developed local recurrence, and 29.3% (60 of 205) of the patients developed post-ESD stricture. The 1-year, 3-year and 5-year recurrence-free survival rates were 97.6%, 90.2%, and 85.9%, respectively.
Table 1.
Variable | Entire cohort (n = 205) (%) |
---|---|
Age | |
< 60 | 85 (41.5) |
≥ 60 | 120 (58.5) |
Gender | |
Male | 156 (76.1) |
Female | 49 (23.9) |
Tobacco smoker | |
Yes | 107 (52.2) |
No | 98 (47.8) |
Alcohol drinker | |
Yes | 109 (53.2) |
No | 96 (46.8) |
Histological grade | |
Well-differentiation | 9 (4.4) |
Moderate-differentiation | 186 (90.7) |
Poor-differentiation | 10 (4.9) |
Longitudinal length of lesion(cm) | |
<3 | 98 (47.8) |
≥ 3 | 107 (52.2) |
Circumferential range | |
<3/4 | 189 (92.2) |
>3/4 | 16 (7.8) |
Invasion depth | |
HGD & m1 ESCC | 125 (60.9) |
m2 & sm1 ESCC | 80 (39.0) |
Lymphovascular invasion | |
Yes | 9 (4.4) |
No | 196 (95.6) |
Post-ESD stricture | |
Yes | 60 (29.3) |
No | 145 (70.7) |
Budding (mm) | |
>5 | 13 (6.3) |
≤ 5 | 192 (93.7) |
P. gingivalis | |
High | 69 (33.7) |
Low | 136 (66.3) |
Local recurrence | |
Yes | 30 (14.6) |
No | 175 (85.4) |
HGD High grade dysplasia, m2 ESCC ESCC invading the lamina propria, m3 ESCC ESCC invading the mucularis mucosa, sm1 ESCC ESCC invading the submucosal layer less than 200 μm
Enrichment of P. gingivalis in esophageal mucosa
The presence of P. gingivalis was not scarce in normal esophageal mucosa and the amount of P. gingivalis localized in superficial cells was higher than that in basal cells, suggesting that superficial epithelial cells may prevent P. gingivalis from invasion into deeper layer cells (Fig. 1A). In dysplastic epithelial cells, immunostaining of P. gingivalis was diffuse but more pervasive than that in normal mucosa (Fig. 1B). In cancerous cells, however, heterogeneous immunostaining of P. gingivalis was detected in ESCC of m2, m3 and sm1 (Fig. 1C-E). Not surprisingly, P. gingivalis was located in tumor stromal tissues as well. Notably, the frequency of P. gingivalis enrichment elevated significantly during the transition from m2 to m3/sm1 ESCC (28.0% vs. 42.5%, P < 0.05). In addition, RNA in situ hybridization (designated as RNAscope) revealed a similar distribution of P. gingivalis in the cytoplasm of cancer cells and stroma as well (Fig. 1F).
Associations between P. gingivalis and clinicopathological characteristics
We next examined the associations between P. gingivalis and clinicopathological characteristics. The overabundance of P. gingivalis was associated with invasion depth (P = 0.035), post-ESD stricture (P = 0.034), and local recurrence (P = 0.006), but not with the other features (Table 2). These results indicate that P. gingivalis may potentially promote aggressiveness of early ESCC.
Table 2.
Variable | Entire cohort (n = 205) | Matched cohort (n = 168) | ||||
---|---|---|---|---|---|---|
P. gingivalis | P. gingivalis | |||||
Low (n = 136)(%) | High (n = 69)(%) | P value | Low (n = 104)(%) |
High (n = 64)(%) |
P value | |
Age | ||||||
< 60 | 57 (41.9) | 28 (40.6) | 0.882 | 38 (36.5) | 27 (42.2) | 0.516 |
≥ 60 | 79 (58.1) | 41 (59.4) | 66 (63.5) | 37 (57.8) | ||
Gender | ||||||
Male | 103 (50.2) | 53 (25.9) | 0.864 | 81 (77.9) | 50 (78.1) | 0.95 |
Female | 33 (16.1) | 16 (7.8) | 23 (22.1) | 14 (21.9) | ||
Tobacco smoker | ||||||
Yes | 69 (50.7) | 38 (55.1) | 0.657 | 63 (60.6) | 36 (56.2) | 0.63 |
No | 67 (49.3) | 31 (44.9) | 41 (39.4) | 28 (43.8) | ||
Alcohol drinker | ||||||
Yes | 70 (51.5) | 39 (56.5) | 0.554 | 61 (58.7) | 36 (56.2) | 0.872 |
No | 66 (48.5) | 30 (43.5) | 43 (41.3) | 28 (43.8) | ||
Histological grade | ||||||
Well-differentiation | 7 (5.1) | 2 (2.9) | 0.585 | 6 (5.8) | 1 (1.6) | 0.318 |
Moderate-differentiation | 121 (89.0) | 65 (94.2) | 91 (87.5) | 61 (95.3) | ||
Poor-differentiation | 8 (5.9) | 2 (2.9) | 7 (6.7) | 2 (3.1) | ||
Longitudinal length of lesion(cm) | ||||||
< 3 | 64 (47.1) | 34 (49.3) | 0.77 | 56 (53.8) | 30 (46.9) | 0.428 |
≥ 3 | 72 (52.9) | 35 (50.7) | 48 (46.2) | 34 (53.1) | ||
Circumferential range | ||||||
< 3/4 | 124 (91.2) | 65 (94.2) | 0.586 | 100 (96.2) | 60 (93.8) | 0.481 |
> 3/4 | 12 (8.8) | 4 (5.8) | 4 (3.8) | 4 (6.2) | ||
Invasion depth | ||||||
HGD & m1 ESCC | 90 (66.2) | 35 (50.7) | 0.035 | 64 (61.5) | 33 (51.6) | 0.26 |
m2 & sm1 ESCC | 46 (33.8) | 34 (49.3) | 40 (38.5) | 31 (48.4) | ||
Lymphovascular invasion | ||||||
Yes | 5 (3.7) | 4 (5.8) | 0.489 | 5 (4.8) | 4 (6.2) | 0.732 |
No | 131 (96.3) | 65 (94.2) | 99 (95.2) | 60 (93.8) | ||
Post-ESD stricture | ||||||
Yes | 33 (24.3) | 27 (39.1) | 0.034 | 27 (26.0) | 22 (34.4) | 0.295 |
No | 103 (75.7) | 42 (60.9) | 77 (74.0) | 42 (65.6) | ||
Budding (mm) | ||||||
≤ 5 | 128 (94.1) | 64 (92.8) | 0.765 | 97 (93.3) | 60 (93.8) | 1 |
>5 | 8 (5.9) | 5 (7.2) | 7 (6.7) | 4 (6.2) | ||
Local recurrence | ||||||
Yes | 13 (9.6) | 17 (24.6) | 0.006 | 9 (8.7) | 17 (26.6) | 0.004 |
No | 123 (90.4) | 52 (75.4) | 95 (91.3) | 47 (73.4) |
HGD High grade dysplasia, m2 ESCC ESCC invading the lamina propria, m3 ESCC ESCC invading the mucularis mucosa, sm1 ESCC ESCC invading the submucosal layer less than 200 μm
Local recurrence after ESD
According to the cut-off score of P. gingivalis immunostaining of 3, 66.3% of the patients (136 of 205) were assigned to the low-P. gingivalis group and 33.7% of the patients (69 of 205) to the high-P. gingivalis group, respectively. High amounts of P. gingivalis were strongly associated with higher rates of local recurrence compared with low levels of P. gingivalis. The cumulative 5-year local recurrence rate was 23.2% among patients with high-P. gingivalis (n = 69) and 9.6% among patients with low-P. gingivalis (n = 136), with a hazard ratio (HR) of 2.78 (95% CI, 1.35 to 5.73, P = 0.004, Fig. 2A).
Independent prognostic predictors
Univariate and multivariate Cox regression analyses were performed to identify independent predictors for post-ESD local recurrence. Univariate analyses revealed that P. gingivalis overabundance (HR, 2.78; 95% CI, 1.35 to 5.73; P = 0.004) and aggressive histopathological features including longitudinal length of lesion (HR, 3.32; 95% CI, 1.43 to 7.77; P = 0.003), circumferential range (HR, 2.65; 95% CI, 1.02 to 6.93, P = 0.038), post-ESD stricture (HR, 2.86; 95% CI, 1.39 to 5.86; P = 0.003), and lymphovascular invasion (HR, 4.55; 95% CI, 1.58 to 13.12; P = 0.002) were positively and significantly associated with higher local recurrence (Fig. 2B). Multivariate analyses demonstrated that P. gingivalis overabundance (HR, 2.5; 95% CI, 1.21 to 5.3; P = 0.014), longitudinal length of lesion (HR, 2.7; 95% CI, 1.14 to 6.6; P = 0.024), and lymphovascular invasion (HR, 3.7; 95% CI, 1.24 to 11.0; P = 0.019) remained independent predictors for local recurrence (Fig. 2C).
Propensity score matching analysis
As there were significant differences between the high- and low-abundance of P. gingivalis groups with regards to invasion depth and post-ESD stricture, we applied a PSM analysis to minimize these differences in a 1:2 ratio. After matching, 64 and 104 patients were included in the high- and low-P. gingivalis groups, respectively. The characteristics of invasion depth and post-ESD stricture were evenly distributed between these groups after matching (Table 2). Again, the high abundance of P. gingivalis rendered a higher risk of local recurrence after ESD treatment compared with low abundance of P. gingivalis. The cumulative 5-year local recurrence rate was significantly higher in patients with high-P. gingivalis (n = 64; 26.6%, 95% CI, 15.4–37.7%) as compared with patients with low-P. gingivalis (n = 104; 8.7%, 95% CI, 3.2–14.1%, Fig. 2D). The results of the univariate analysis resemble the results before PSM (Fig. 2E). Multivariate analyses revealed that P. gingivalis overabundance (HR, 2.80; 95% CI, 1.23 to 6.30; P = 0.014), post-ESD stricture (HR, 2.50; 95% CI, 1.12 to 5.60; P = 0.026), and lymphovascular invasion (HR, 3.60; 95% CI, 1.19 to 10.80; P = 0.023) were independent predictors for local recurrence after PSM (Fig. 2F).
Building a prognostic nomogram for post-ESD local recurrence
To develop a clinically applicable tool, we built a predicative model that integrated the three significant prognostic factors using nomogram (Fig. 3A). As shown in the nomogram, P. gingivalis contributed largest to local recurrence, followed by lymphovascular invasion and lesion length. The calibration plot demonstrated an optimal agreement between the nomogram prediction and actual observation for the probability of local recurrence at 5 years in the validation cohort, the entire cohort and the subcohort after propensity score matching. The C-indices for local recurrence prediction of nomogram score were 0.72 (95% CI, 0.62 to 0.80), 0.72 (95%CI, 0.63 to 0.80), and 0.74 (95%CI, 0.65 to 0.83), respectively (Fig. 3B-D). Then, we compared the predictive power for post-ESD local recurrence between nomogram score and P. gingivalis, longitudinal length of lesion and lymphovascular invasion. The C-indices by P. gingivalis, longitudinal length of lesion, and lymphovascular invasion were inferior to that of nomogram without statistical significance in the entire cohort (0.62, 0.63 and 0.55, respectively).
Discussion
In this study, we have demonstrated that enrichment of P. gingivalis not only occurred in early-stage ESCC but also positively correlated with the severity of lesions of early ESCC during progression from mild to severe lesions. An increased amount of P. gingivalis significantly correlated with invasion depth and post-ESD stricture. Moreover, overabundance of P. gingivalis was strongly associated with a higher rate of local recurrence and remained an independent predictor for local recurrence, which was reinforced after PSM. In the present study, a nomogram based on three independent prognostic factors was developed and showed optimal prediction of local recurrence after ESD treatment. To our knowledge, this is the first study to report the effects of P. gingivalis on local recurrence of early-stage lesions of ESCC after ESD treatment in patients with early ESCC or precancerous lesions. Thus, enrichment of P. gingivalis is a potential surrogate marker for prediction of aggressive progression of ESCC.
The known risk factors identified in high-risk areas for ESCC in China comprise nutritional deficiencies [35], family history of ESCC [36], alcohol drinking, cigarette smoking [3, 37], nitrosamine-rich or mycotoxin-contaminated foods, and low socioeconomic status [38–40]. In a prospective cohort study involved 28 868 subjects in northern China, the first few tooth loss in younger subjects was associated with a significant elevated risk for developing cancers from esophagus and stomach [41]. The salivary overall microbial diversity was decreased in ESCC patients compared with dysplasia patients and healthy controls [27, 28]. Higher abundance of periodontal pathogen P. gingivalis was associated with an increased ESCC risk [26]. Recently, we reported that overabundance of P. gingivalis was significantly correlated with aggressive features of advanced-stage ESCC [29]. In keeping with these results, P. gingivalis overabundance was observed in 30.4% (24/79) of precancerous lesions HGD. Notably, the prevalence and abundance of P. gingivalis were significantly increased in ESCC of m3 and sm1 compared with HGD, m1 and m2 ESCC. Taken together, these results suggest that P. gingivalis is linked to the initiation and progression of ESCC.
At present, endoscopic screening of high-risk population in high-incidence areas for ESCC has been widely accepted as an optimal strategy for the secondary prevention of ESCC in China [42, 43]. With the emergence of high-resolution and high-definition endoscopy, detailed delineation of mucosal features enables detection of subtle lesions, which consequently results in the increased detection of early neoplasms [9]. Importantly, endoscopic resection is now becoming the standard care for the treatment of esophageal squamous cell dysplasia and early-stage ESCC, and produces less mortality and morbidity, and equivalent survival times compared with esophagectomy [9, 10]. However, endoscopic resection for early ESCC has a relatively high recurrence rate [44, 45] and many factors including tumor volume and degree of infiltration have been identified as the risk factors for the recurrence [17]. In our study, we demonstrated that classification of patients with early-stage ESCC by P. gingivalis abundance can substantially differentiate the high-risk from low-risk patients for local recurrence. Alternatively, multiple iodine-unstained lesions correlated with a higher risk of local recurrence after ER of early ESCC [11]. In line with this, we identified longitudinal length of lesion as an independent risk factor for local recurrence. In addition, we found that P. gingivalis was the largest contributor to post-ESD local recurrence, suggesting the tumorigenic role of P. gingivalis in occurrence of ESCC. Collectively, our findings suggest that an enrichment of P. gingivalis is a potential surrogate marker for metachronous recurrence after ESD, which warrants future clinical studies to clarify.
Given that nomogram has been widely used for prognostic predication of cancer patients, we constructed a nomogram based on three independent factors of local recurrence including P. gingivalis, lymphovascular invasion, and lesion length, which performed well for prediction of local recurrence post-ESD therapy. Further prospective studies are needed to test its prognostic value.
It is acknowledged that the present study has limitations. This was a single-institute retrospective study, which inevitably introduces selection and information biases. A multi-center, prospective study with a larger sample size is warranted to confirm the tumor-promoting effects of P. gingivalis in earl-stage ESCC. Second, semi-quantification of P. gingivalis by IHC is not an accurate and sensitive method compared to Q-PCR. Third, various storage duration of resected tissue specimen by ESD may compromise the quality of P. gingivalis for gauge. Fourth, one single time point specimen was collected after ESD to measure the amount of P. gingivalis, which may underestimate the effect of P. gingivalis on esophageal cancer recurrence during the 5-year follow-up.
Conclusion
The present study demonstrates that P. gingivalis enrichment occurs in esophageal precancerous lesions and early-stage ESCC, and an overabundance of P. gingivalis is associated with local recurrence after ESD treatment of patients with early ESCC. In addition, we developed a nomogram for post-ESD recurrence prediction. Thus, our findings suggest that clearance of P. gingivalis in clinical management of ESCC patients, in particular for post-ESD patients, represents an attractive strategy to prevent local recurrence and improve the prognosis of early stage ESCC. In high-risk subjects predisposing for ESCC, P. gingivalis-specific treatment in oral cavity opens a novel approach for ESCC prevention.
Acknowledgements
We thank Prof. Xuezhong Shi (Zhengzhou University) for help in propensity score matching analysis.
Abbreviations
- ESCC
Esophageal squamous cell carcinoma
- HGD
High-grade dysplasia
- ER
Endoscopic resection
- EMR
Endoscopic mucosal resection
- ESD
Endoscopic submucosal dissection
- m2 ESCC
ESCC invading the lamina propria
- m3 ESCC
ESCC invading the mucularis mucosa
- sm1 ESCC
ESCC invading the submucosal layer less than 200 μm
- IHC
Immunohistochemistry
- ROC
Receiver operating characteristic
- C-index
Concordance index
- PSM
Propensity score matching
Authors' contributions
She-Gan Gao and Yi-Jun Qi: Conceptualization. Yi-Jun Qi and Zhi-Peng Qi: Writing original draft and visualization. Yi-Wen Liu and Meng-Xiang Li: Methodology. Ying-Yong Hou, Bing Li, Di Sun, Qiang Shi, Shi-Lun Cai, Ping-Hong Zhou and Yun-Shi Zhong: Resources and investigation. All the authors approved the final version of the manuscript.
Funding
This study was supported by the National Natural Science Foundation of China (81672329); Science and Technology Commission Foundation of Shanghai Municipality (16411950406).
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Declarations
Ethics approval and consent to participate
This study was performed in accordance with the Declaration of Helsinki. The medical ethics committee of The First Affiliated Hospital of Henan University of Science and Technology approved this study. Informed consent was waived by the medical ethics committee of The First Affiliated Hospital of Henan University of Science and Technology because this study used retrospective and anonymized individual data.
Consent for publication
Not applicable.
Competing interests
The authors declare there is no competing interest in this study.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
She-Gan Gao and Zhi-Peng Qi contributed equally to this work.
Contributor Information
She-Gan Gao, Email: gsg112258@163.com.
Yun-Shi Zhong, Email: zhongamy2002@126.com.
References
- 1.Xu Y, Yu X, Chen Q, Mao W. Neoadjuvant versus adjuvant treatment: which one is better for resectable esophageal squamous cell carcinoma? World J Surg Oncol. 2012;10:173. doi: 10.1186/1477-7819-10-173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. Cancer J Clin. 2015;65(2):87–108. doi: 10.3322/caac.21262. [DOI] [PubMed] [Google Scholar]
- 3.Lin Y, Totsuka Y, He Y, Kikuchi S, Qiao Y, Ueda J, Wei W, Inoue M, Tanaka H. Epidemiology of esophageal cancer in Japan and China. J Epidemiol. 2013;23(4):233–42. doi: 10.2188/jea.JE20120162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zeng H, Zheng R, Guo Y, Zhang S, Zou X, Wang N, Zhang L, Tang J, Chen J, Wei K, et al. Cancer survival in China, 2003–2005: a population-based study. Int J Cancer. 2015;136(8):1921–30. doi: 10.1002/ijc.29227. [DOI] [PubMed] [Google Scholar]
- 5.Wang GQ, Jiao GG, Chang FB, Fang WH, Song JX, Lu N, Lin DM, Xie YQ, Yang L. Long-term results of operation for 420 patients with early squamous cell esophageal carcinoma discovered by screening. Ann Thorac Surg. 2004;77(5):1740–4. doi: 10.1016/j.athoracsur.2003.10.098. [DOI] [PubMed] [Google Scholar]
- 6.Pennathur A, Gibson MK, Jobe BA, Luketich JD. Oesophageal carcinoma. Lancet (London England) 2013;381(9864):400–12. doi: 10.1016/S0140-6736(12)60643-6. [DOI] [PubMed] [Google Scholar]
- 7.Pimentel-Nunes P, Dinis-Ribeiro M, Ponchon T, Repici A, Vieth M, De Ceglie A, Amato A, Berr F, Bhandari P, Bialek A, et al. Endoscopic submucosal dissection: european Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy. 2015;47(9):829–54. doi: 10.1055/s-0034-1392882. [DOI] [PubMed] [Google Scholar]
- 8.Zeng H, Ran X, An L, Zheng R, Zhang S, Ji JS, Zhang Y, Chen W, Wei W, He J. Disparities in stage at diagnosis for five common cancers in China: a multicentre, hospital-based, observational study. The Lancet Public health. 2021;6(12):e877–87. doi: 10.1016/S2468-2667(21)00157-2. [DOI] [PubMed] [Google Scholar]
- 9.Mannath J, Ragunath K. Role of endoscopy in early oesophageal cancer. Nat reviews Gastroenterol Hepatol. 2016;13(12):720–30. doi: 10.1038/nrgastro.2016.148. [DOI] [PubMed] [Google Scholar]
- 10.Jiang D, Li X, Wang H, Xu C, Li X, Sujie A, Zeng H, Hou Y, Zhong Y. A retrospective study of endoscopic resection for 368 patients with early esophageal squamous cell carcinoma or precancerous lesions. Surg Endosc. 2017;31(5):2122–30. doi: 10.1007/s00464-016-5208-z. [DOI] [PubMed] [Google Scholar]
- 11.Yamashina T, Ishihara R, Nagai K, Matsuura N, Matsui F, Ito T, Fujii M, Yamamoto S, Hanaoka N, Takeuchi Y, et al. Long-term outcome and metastatic risk after endoscopic resection of superficial esophageal squamous cell carcinoma. Am J Gastroenterol. 2013;108(4):544–51. doi: 10.1038/ajg.2013.8. [DOI] [PubMed] [Google Scholar]
- 12.Crumley AB, Going JJ, McEwan K, McKernan M, Abela JE, Shearer CJ, Stanley AJ, Stuart RC. Endoscopic mucosal resection for gastroesophageal cancer in a U.K. population. Long-term follow-up of a consecutive series. Surg Endosc. 2011;25(2):543–8. doi: 10.1007/s00464-010-1213-9. [DOI] [PubMed] [Google Scholar]
- 13.Higuchi K, Tanabe S, Azuma M, Katada C, Sasaki T, Ishido K, Naruke A, Katada N, Koizumi W. A phase II study of endoscopic submucosal dissection for superficial esophageal neoplasms (KDOG 0901) Gastrointest Endosc. 2013;78(5):704–10. doi: 10.1016/j.gie.2013.04.182. [DOI] [PubMed] [Google Scholar]
- 14.Yamada M, Oda I, Nonaka S, Suzuki H, Yoshinaga S, Taniguchi H, Sekine S, Kushima R, Saito Y, Gotoda T. Long-term outcome of endoscopic resection of superficial adenocarcinoma of the esophagogastric junction. Endoscopy. 2013;45(12):992–6. doi: 10.1055/s-0033-1344862. [DOI] [PubMed] [Google Scholar]
- 15.Bhatt A, Abe S, Kumaravel A, Vargo J, Saito Y. Indications and techniques for endoscopic submucosal dissection. Am J Gastroenterol. 2015;110(6):784–91. doi: 10.1038/ajg.2014.425. [DOI] [PubMed] [Google Scholar]
- 16.Kuwano H, Nishimura Y, Oyama T, Kato H, Kitagawa Y, Kusano M, Shimada H, Takiuchi H, Toh Y, Doki Y, et al. Guidelines for Diagnosis and Treatment of Carcinoma of the Esophagus April 2012 edited by the Japan Esophageal Society. Esophagus. 2015;12:1–30. doi: 10.1007/s10388-014-0465-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wang Z, Lu H, Wu L, Yuan B, Liu J, Shi H, Wang F. Long-term outcomes of endoscopic multiband mucosectomy for early esophageal squamous cell neoplasia: a retrospective, single-center study. Gastrointest Endosc. 2016;84(6):893–9. doi: 10.1016/j.gie.2016.04.015. [DOI] [PubMed] [Google Scholar]
- 18.Ishihara R, Iishi H, Uedo N, Takeuchi Y, Yamamoto S, Yamada T, Masuda E, Higashino K, Kato M, Narahara H, et al. Comparison of EMR and endoscopic submucosal dissection for en bloc resection of early esophageal cancers in Japan. Gastrointest Endosc. 2008;68(6):1066–72. doi: 10.1016/j.gie.2008.03.1114. [DOI] [PubMed] [Google Scholar]
- 19.Cao Y, Liao C, Tan A, Gao Y, Mo Z, Gao F. Meta-analysis of endoscopic submucosal dissection versus endoscopic mucosal resection for tumors of the gastrointestinal tract. Endoscopy. 2009;41(9):751–7. doi: 10.1055/s-0029-1215053. [DOI] [PubMed] [Google Scholar]
- 20.Evans JA, Early DS, Chandraskhara V, Chathadi KV, Fanelli RD, Fisher DA, Foley KQ, Hwang JH, Jue TL, Pasha SF, et al. The role of endoscopy in the assessment and treatment of esophageal cancer. Gastrointest Endosc. 2013;77(3):328–34. doi: 10.1016/j.gie.2012.10.001. [DOI] [PubMed] [Google Scholar]
- 21.Akutsu Y, Uesato M, Shuto K, Kono T, Hoshino I, Horibe D, Sazuka T, Takeshita N, Maruyama T, Isozaki Y, et al. The overall prevalence of metastasis in T1 esophageal squamous cell carcinoma: a retrospective analysis of 295 patients. Ann Surg. 2013;257(6):1032–8. doi: 10.1097/SLA.0b013e31827017fc. [DOI] [PubMed] [Google Scholar]
- 22.Araki K, Ohno S, Egashira A, Saeki H, Kawaguchi H, Sugimachi K. Pathologic features of superficial esophageal squamous cell carcinoma with lymph node and distal metastasis. Cancer. 2002;94(2):570–5. doi: 10.1002/cncr.10190. [DOI] [PubMed] [Google Scholar]
- 23.Eguchi T, Nakanishi Y, Shimoda T, Iwasaki M, Igaki H, Tachimori Y, Kato H, Yamaguchi H, Saito D, Umemura S. Histopathological criteria for additional treatment after endoscopic mucosal resection for esophageal cancer: analysis of 464 surgically resected cases. Modern Pathology. 2006;19(3):475–480. [DOI] [PubMed]
- 24.Tajima Y, Nakanishi Y, Ochiai A, Tachimori Y, Kato H, Watanabe H, Yamaguchi H, Yoshimura K, Kusano M, Shimoda T. Histopathologic findings predicting lymph node metastasis and prognosis of patients with superficial esophageal carcinoma: analysis of 240 surgically resected tumors. Cancer. 2000;88(6):1285–93. doi: 10.1002/(SICI)1097-0142(20000315)88:6<1285::AID-CNCR3>3.0.CO;2-R. [DOI] [PubMed] [Google Scholar]
- 25.Kim DU, Lee JH, Min BH, Shim SG, Chang DK, Kim YH, Rhee PL, Kim JJ, Rhee JC, Kim KM, et al. Risk factors of lymph node metastasis in T1 esophageal squamous cell carcinoma. J Gastroenterol Hepatol. 2008;23(4):619–25. doi: 10.1111/j.1440-1746.2007.05259.x. [DOI] [PubMed] [Google Scholar]
- 26.Peters BA, Wu J, Pei Z, Yang L, Purdue MP, Freedman ND, Jacobs EJ, Gapstur SM, Hayes RB, Ahn J. Oral Microbiome Composition reflects prospective risk for esophageal cancers. Cancer Res. 2017;77(23):6777–87. doi: 10.1158/0008-5472.CAN-17-1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yu G, Gail MH, Shi J, Klepac-Ceraj V, Paster BJ, Dye BA, Wang GQ, Wei WQ, Fan JH, Qiao YL, et al. Association between upper digestive tract microbiota and cancer-predisposing states in the esophagus and stomach. Cancer Epidemiol Biomarkers Prevent. 2014;23(5):735–41. doi: 10.1158/1055-9965.EPI-13-0855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chen X, Winckler B, Lu M, Cheng H, Yuan Z, Yang Y, Jin L, Ye W. Oral microbiota and risk for esophageal squamous cell carcinoma in a high-risk area of China. PLoS ONE. 2015;10(12):e0143603. doi: 10.1371/journal.pone.0143603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gao S, Li S, Ma Z, Liang S, Shan T, Zhang M, Zhu X, Zhang P, Liu G, Zhou F, et al. Presence of Porphyromonas gingivalis in esophagus and its association with the clinicopathological characteristics and survival in patients with esophageal cancer. Infect agents cancer. 2016;11:3. doi: 10.1186/s13027-016-0049-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gao S, Liu Y, Duan X, Liu K, Mohammed M, Gu Z, Ren J, Yakoumatos L, Yuan X, Lu L, et al. Porphyromonas gingivalis infection exacerbates oesophageal cancer and promotes resistance to neoadjuvant chemotherapy. Br J Cancer. 2021;125(3):433–44. doi: 10.1038/s41416-021-01419-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gao SG, Yang JQ, Ma ZK, Yuan X, Zhao C, Wang GC, Wei H, Feng XS, Qi YJ. Preoperative serum immunoglobulin G and a antibodies to Porphyromonas gingivalis are potential serum biomarkers for the diagnosis and prognosis of esophageal squamous cell carcinoma. BMC Cancer. 2018;18(1):17. doi: 10.1186/s12885-017-3905-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Shi Q, Ju H, Yao LQ, Zhou PH, Xu MD, Chen T, Zhou JM, Chen TY, Zhong YS. Risk factors for postoperative stricture after endoscopic submucosal dissection for superficial esophageal carcinoma. Endoscopy. 2014;46(8):640–4. doi: 10.1055/s-0034-1365648. [DOI] [PubMed] [Google Scholar]
- 33.Zhou W, Jin W, Wang D, Lu C, Xu X, Zhang R, Kuang T, Zhou Y, Wu W, Jin D, et al. Laparoscopic versus open pancreaticoduodenectomy for pancreatic ductal adenocarcinoma: a propensity score matching analysis. Cancer Commun (London England) 2019;39(1):66. doi: 10.1186/s40880-019-0410-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bettinger D, Pinato DJ, Schultheiss M, Sharma R, Rimassa L, Pressiani T, Burlone ME, Pirisi M, Kudo M, Park JW, et al. Stereotactic body Radiation Therapy as an alternative treatment for patients with Hepatocellular Carcinoma compared to Sorafenib: a propensity score analysis. Liver cancer. 2019;8(4):281–94. doi: 10.1159/000490260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Guo W, Blot WJ, Li JY, Taylor PR, Liu BQ, Wang W, Wu YP, Zheng W, Dawsey SM, Li B, et al. A nested case-control study of oesophageal and stomach cancers in the Linxian nutrition intervention trial. Int J Epidemiol. 1994;23(3):444–50. doi: 10.1093/ije/23.3.444. [DOI] [PubMed] [Google Scholar]
- 36.Wei WQ, Abnet CC, Lu N, Roth MJ, Wang GQ, Dye BA, Dong ZW, Taylor PR, Albert P, Qiao YL, et al. Risk factors for oesophageal squamous dysplasia in adult inhabitants of a high risk region of China. Gut. 2005;54(6):759–63. doi: 10.1136/gut.2004.062331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wu M, Zhao JK, Zhang ZF, Han RQ, Yang J, Zhou JY, Wang XS, Zhang XF, Liu AM, van’. t Veer P et al. Smoking and alcohol drinking increased the risk of esophageal cancer among Chinese men but not women in a high-risk population. Cancer Causes Control. 2011; 22(4):649–657. [DOI] [PMC free article] [PubMed]
- 38.Roth MJ, Strickland KL, Wang GQ, Rothman N, Greenberg A, Dawsey SM. High levels of carcinogenic polycyclic aromatic hydrocarbons present within food from Linxian, China may contribute to that region’s high incidence of oesophageal cancer. Eur J cancer (Oxford England: 1990) 1998;34(5):757–8. doi: 10.1016/s0959-8049(97)10071-5. [DOI] [PubMed] [Google Scholar]
- 39.Lu SH, Ohshima H, Fu HM, Tian Y, Li FM, Blettner M, Wahrendorf J, Bartsch H. Urinary excretion of N-nitrosamino acids and nitrate by inhabitants of high- and low-risk areas for esophageal cancer in Northern China: endogenous formation of nitrosoproline and its inhibition by vitamin C. Cancer Res. 1986;46(3):1485–91. [PubMed] [Google Scholar]
- 40.Tran GD, Sun XD, Abnet CC, Fan JH, Dawsey SM, Dong ZW, Mark SD, Qiao YL, Taylor PR. Prospective study of risk factors for esophageal and gastric cancers in the Linxian general population trial cohort in China. Int J Cancer. 2005;113(3):456–63. doi: 10.1002/ijc.20616. [DOI] [PubMed] [Google Scholar]
- 41.Abnet CC, Qiao YL, Mark SD, Dong ZW, Taylor PR, Dawsey SM. Prospective study of tooth loss and incident esophageal and gastric cancers in China. Cancer causes & control: CCC. 2001;12(9):847–54. doi: 10.1023/A:1012290009545. [DOI] [PubMed] [Google Scholar]
- 42.He Z, Liu Z, Liu M, Guo C, Xu R, Li F, et al. Efficacy of endoscopic screening for esophageal cancer in China (ESECC): design and preliminary results of a population-based randomised controlled trial. Gut. 2018;70(2):251–60. [DOI] [PubMed]
- 43.Chen R, Liu Y, Song G, Li B, Zhao D, Hua Z, Wang X, Li J, Hao C, Zhang L, et al. Effectiveness of one-time endoscopic screening programme in prevention of upper gastrointestinal cancer in China: a multicentre population-based cohort study. Gut. 2021;70(2):251–60. doi: 10.1136/gutjnl-2019-320200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ono S, Fujishiro M, Niimi K, Goto O, Kodashima S, Yamamichi N, Omata M. Long-term outcomes of endoscopic submucosal dissection for superficial esophageal squamous cell neoplasms. Gastrointest Endosc. 2009;70(5):860–6. doi: 10.1016/j.gie.2009.04.044. [DOI] [PubMed] [Google Scholar]
- 45.Esaki M, Matsumoto T, Hirakawa K, Nakamura S, Umeno J, Koga H, Yao T, Iida M. Risk factors for local recurrence of superficial esophageal cancer after treatment by endoscopic mucosal resection. Endoscopy. 2007;39(1):41–5. doi: 10.1055/s-2006-945143. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analyzed during this study are included in this published article.