Abstract
Surgery is the first line of treatment in gingival cancers of the mandible, and bone resection is necessary in the majority of cases. In the less extensive surgical option, marginal mandibulectomy (MM), the mandibular base is preserved. In contrast, in a segmental mandibulectomy (SM) the mandible is divided and the continuity is not preserved. If MM can be performed with comparable oncological results to SM, it is the preferred method. The aim of the present study was to identify preoperative predictors for local recurrence (LR), to support the selection of candidates for MM. Outcome measures were local recurrence free survival (LRFS) and disease specific survival (DSS). 67 patients treated with MM between 2008 and 2021 were included. Cox regression analyses of LR with hazard ratios and adjustments for postoperative radiotherapy, pathological T-stage (pT) and soft tissue margins were performed. 5-years LRFS was 63% (95% CI 46.9–75.5) and DSS 80.6% (95% CI 64.7–89.9). In conclusion we found that edentulous patients, more advanced pT-stage and positive soft tissue margins had increased risk for LR. Future studies of the correlation between cT and pT would be important to provide more robust preoperative support in the selection between MM and SM.
Keywords: Marginal mandibulectomy, Gingival cancer, Local recurrence, Gingival neoplasm
Subject terms: Cancer, Surgical oncology
Introduction
Surgery is the first line of treatment in gingival cancer of the mandible, and bone resection is necessary in the majority of cases. Marginal mandibulectomy (MM) preserves the mandibular base and thereby also the continuity of the mandible. In contrast, in a segmental mandibulectomy (SM) the mandible is divided and the continuity is not preserved. Furthermore, MM requires a less advanced reconstruction than SM to achieve an acceptable functional and esthetical outcome. For SM, reconstruction with a bony free flap is the best choice to repair the defect and to restore the continuity of the mandible1,2. Although the esthetical and functional results after a successful bony free flap reconstruction are very good, the surgery is more time consuming, has higher peri- and postoperative risks for complications and is more expensive. Moreover, older and frail patients might not tolerate extensive surgery and the options available include the use of a reconstruction plate or no restoration of the continuity at all. Therefore, if MM can be performed with comparable oncological results to SM, it is the preferred method.
Knowledge about the bone invasion of the mandible is crucial in order to determine whether a MM is oncologically safe or not. It is well established that tumours invade the mandible at the point of abutment (the point of contact between the tumour and the bone)3. Clinical assessment, computed tomography and/or magnetic resonance imaging are used to evaluate bone invasion of the mandible. Despite improved radiological imaging techniques, it is not possible to detect microscopic invasion and the clinical T-stage (cT) classification can be difficult. Superficial, erosive bone invasion is not sufficient for cT4a classification of the tumour and does not preclude a MM. For early oral cancers, including cT1-T2 gingival cancers, MM is now an established surgical treatment option4,5.
There are certain scenarios where SM is the method of choice, including obvious bone invasion into the bone marrow or the mandibular canal. In addition, in edentulous patients the height of the mandible often does not permit a MM since at least 10 mm needs to be preserved to decrease the risk of a fracture6. The use of MM in radiated patients or patients with large soft tissue tumours is controversial4.
However, there is a lack of convincing evidence for the proper selection of surgical method and predictors for local recurrence and survival. Most studies include all subsites of oral squamous cell carcinoma (OSCC), and are not specific for gingival cancer. Since MM is considered a surgical treatment option for selected cT1-T2 tumours and SM for the more advanced tumours, the methods cannot be directly compared in the existing, exclusively retrospective studies.
The aim of the present study was to identify predictors that can support the selection between marginal and segmental mandibulectomy. We specifically searched for preoperative factors resulting in poor outcome in patients undergoing MM. Our primary outcome measure was local recurrence free survival (LRFS) and secondary outcome was disease specific survival (DSS).
Method
This was a retrospective cohort study of patients with gingival cancer of the mandible. The study was approved by the Swedish Ethical Review Authority (2020–06118). Obtaining informed consent was waived by the same authority due to the retrospective nature of the study. The treatment options offered to the patients are gold standard for gingival cancer of the mandible, in adherence to Swedish and international guidelines for head and neck cancer7,8.
All patients with ICD-10 code C03.1 (malignant neoplasm of the lower gum) treated between the years 2008 and 2021 at two Swedish head and neck cancer centres, Stockholm and Örebro, were retrieved from the Swedish Head and Neck Cancer Register (SweHNCR) and the Regional Head and Neck Register in Örebro, and considered for inclusion (n = 299)9,10. A review of the medical records was performed. Tumours were staged according to the TNM clinical staging system11. Exclusion criteria presented in Fig. 1 were: segmental mandibulectomy, palliative intent, former head and neck cancer, preoperative radiotherapy, mucosal resection without bone resection or follow-up time less than three months. Extracted data included, but was not limited to, age, gender, histopathology reports, clinical and pathological TNM status, as well as treatment modality, local recurrence (LR) and overall and disease specific survival (OS/DSS respectively).
For the primary outcome measure LRFS, time to event (LR) was calculated from 3 months after the date of surgery (T0), to take into account the time of eventual postoperative radiotherapy (PORT) and residual tumours. Patients were censored in case of death, second primary or loss to follow-up (maximum follow-up time 5 years from T0). Cox regression analyses with hazard ratios (HR) and adjustments for the potential confounders PORT, pathological T-stage (pT) and soft tissue margins were performed.
In the same way DSS was calculated from 3 months after the date of surgery, to the event death with tumours. Patients were censored if they died without tumours, had a second primary or were lost to follow-up. Kaplan-Meier curve was used for DSS; however, since only nine events appeared, no regression analysis was performed.
Variables in the regression analyses were grouped into those known before and after surgery, in accordance with the clinical situation where the surgical treatment decision is based on preoperative variables. Gingival cancer grow close to the teeth and there have been concerns that these tumours easily spread into the bone marrow through the tooth sockets. Therefore, we included the variables dental status and tumour location (separating tumours reaching or not reaching the teeth). Soft tissue margins with tumours at the resection border in the pathology report were defined as positive margins, whereas soft tissue margins less than 5 mm were defined as close margins. The variable tumour growth in bone marrow involved invasion into the bone marrow only, or into the mandibular canal as well.
Overall a p-value < 0.05 was considered to be statistically significant. Analyses were performed using SPSS version 29.0 and STATA release 17.
Results
There were 67 patients treated with MM included in the study, 22 patients from Örebro and 45 from Stockholm, see also flow chart in Fig. 1. Demographics of the cohort are provided in Table 1. In total there were 18 (26.8%) LR and 5-years LRFS was 63.0% (95% CI 46.9–75.5), Fig. 2. Median follow-up time was 22.9 months (IQR 10.2–56.6). Tumours classified as pT3 had significantly increased hazard ratio (HR) for LR in the unadjusted and adjusted regression analyses, 8.61 (95% CI 1.43–51.9) and 6.64 (95% CI 1.05–41.9), respectively. For pT4a tumours the unadjusted HR was 4.86 (95% CI 1.01–23.4), while the adjusted HR was not significant.
Table 1.
Marginal mandibulectomy (n = 67) |
|
---|---|
Variables known before surgery | |
Age, median (IQR) | 75 (64–80) |
Sex, n (%) | |
Female | 36 (53.7) |
Male | 31 (46.3) |
Smoking, n (%) | |
Non-smoking | 29 of 63 (46.0) |
Former smoking | 16 of 63 (25.4) |
Current smoking | 18 of 63 (28.6) |
WHO performance status, n (%) | |
WHO 0 | 57 of 65 (87.7) |
WHO 1–3 | 8 of 65 (12.3) |
cT stage, n (%) | |
T1 | 29 (43.3) |
T2 | 26 (38.8) |
T3 | 4 (6.0) |
T4a | 8 (11.9) |
cN stage, n (%) | |
N0 | 56 (83.6) |
N1 | 6 (9.0) |
N2b/c | 5 (7.5) |
Tumour location, n (%) | |
Tumour reaches the teeth | 61 (91.0) |
Tumour does not reach the teeth | 6 (9.0) |
Dental status in tumour region, n (%) | |
Healthy teeth | 41 (61.2) |
Loose/extracted tooth | 18 (26.9) |
Edentulous | 8 (11.9) |
Variables known after surgery | |
pT stage, n (%) | |
T1 | 25 (37.3) |
T2 | 18 (26.9) |
T3 | 6 (9.0) |
T4a | 18 (26.9) |
Soft tissue margin, n (%) | |
Negative margin | 20 (29.8) |
Close marginal | 34 (50.8) |
Positive margin | 13 (19.4) |
Bone invasion pathology report (n = 65), n (%) | |
No bone invasion | 41 (63.1) |
Superficial or bone invasion ND1 | 12 (18.5) |
Tumour growth in bone marrow, n (%) | 12 (18.5) |
Postoperative Radiotherapy, n (%) | 37 (55.2) |
The increased HR observed in higher pT classification did not significantly correspond to the clinical T-stage (cT) classification, see also Table 2. In tumours staged as cT1 that in fact were pT2-pT4a, a LR was detected in four of the seven cases (57.1%). In total there were five LR seen in cT1 tumours, four of which were understaged. For the nine understaged cT2 tumours, three (33.3%) LR were observed. There were eight LR altogether in cT2 tumours, three of them understaged. The rates for LR were lower for both cT1 and pT1 tumours compared to tumours with higher T classifications, Table 2.
Table 2.
Variables known before surgery | Events | Rates | Unadjusted | Adjusteda |
---|---|---|---|---|
HR (95% CI) | aHR (95% CI) | |||
Age as spline | ||||
65 | Ref | Ref | ||
75 | 1.12 (0.42–3.01) | 1.15 (0.39–3.37) | ||
85 | 1.04 (0.28–3.93) | 1.59 (0.34–7.43) | ||
Sex | ||||
Men | 9 | 108.2 | Ref | Ref |
Women | 9 | 95.5 | 0.85 (0.34–2.15) | 0.71 (0.27–1.86) |
Smoking (n = 63) | ||||
Non-smoker | 9 | 95.3 | Ref | Ref |
Current | 4 | 97.8 | 1.02 (0.31–3.32) | 0.58 (0.14–2.40) |
Former | 4 | 121.2 | 1.22 (0.37–4.05) | 0.55 (0.11–2.72) |
WHO status (n = 65) | ||||
WHO 0 | 15 | 95.0 | Ref | Ref |
WHO 1–3 | 3 | 313.6 | 3.30 (0.94–11.5) | 4.40 (0.93–20.8) |
cT-stage | ||||
T1 | 5 | 64.0 | Ref | Ref |
T2 | 8 | 122.0 | 2.01 (0.66–6.16) | 1.40 (0.42–4.62) |
T3 | 1 | 103.5 | 1.48 (0.17–12.7) | 2.03 (0.23-18.0) |
T4a | 4 | 166.7 | 2.52 (0.67–9.39) | 2.09 (0.50–8.64) |
cN-stage | ||||
N0 | 15 | 100.0 | Ref | Ref |
N+ | 3 | 109.9 | 1.09 (0.31–3.75) | 0.97 (0.23–4.01) |
Tumour location | ||||
Do not reach the teeth | 1 | 59.8 | Ref | Ref |
Reaches the teeth | 17 | 105.8 | 1.91 (0.25–14.4) | 1.22 (0.12–12.9) |
Dental status in tumour region | ||||
Healthy | 9 | 76.4 | Ref | Ref |
Loose/extracted tooth | 3 | 71.3 | 0.88 (0.24–3.27) | 1.18 (0.31–4.56) |
Edentulous | 6 | 344.3 | 4.07 (1.43–11.6) | 1.87 (0.58–5.99) |
Variables known after surgery | ||||
pT stage | ||||
T1 | 2 | 28.9 | Ref | Ref |
T2 | 6 | 132.2 | 4.71 (0.95–23.4) | 2.94 (0.52–16.7) |
T3 | 3 | 258.6 | 8.61 (1.43–51.9) | 6.64 (1.05–41.9) |
T4a | 7 | 137.0 | 4.86 (1.01–23.4) | 2.17 (0.40–12.0) |
Soft tissue margin | ||||
Negative | 2 | 29.8 | Ref | Ref |
Close | 9 | 107.0 | 3.45 (0.74-16.0) | 2.81 (0.55–14.4) |
Positive | 7 | 267.4 | 8.82 (1.83–42.6) | 5.85 (1.02–33.6) |
Tumour growth in bone marrow | ||||
No | 13 | 87.2 | Ref | Ref |
Yes | 5 | 176.6 | 2.03 (0.72–5.71) | 1.64 (0.31–8.78) |
Postop radiotherapy | ||||
No | 3 | 39.6 | Ref | Ref |
Yes | 15 | 147.6 | 3.83 (1.11–13.3) | 1.68 (0.39–7.35) |
a
Adjusted for PORT (postoperative radiotherapy), pT stage and Soft tissue margin.
Crude rates per 1000 person-years; HR Hazard ratios; aHR adjusted Hazard ratios; CI Confidence intervals.
Positive soft tissue margins were a strong predictor for LR in the unadjusted and adjusted analyses, 8.82 (95% CI 1.82–42.6) and 5.85 (95% CI 1.02–33.6) respectively.
LR was detected in 6 of the 8 edentulous patients (75%). The unadjusted HR for edentulous patients was 4.22 (95% CI 1.57–11.3), adjusted HR not significant.
DSS after 5-years was 80.6% (95% CI 64.7–89.9) and is presented in Fig. 3. There were nine patients dead with tumours, and among them seven had LR detected. Even though a LR is a serious event, 10 patients with LR were censored for follow-up in the survival analyses (meaning they did not have the event death with tumours). Median follow-up time was 31.3 months (IQR 12.9–57.0).
The majority of the patients had no flap reconstruction (n = 43, 67.2%) or local flap reconstruction (n = 13, 20.3%).
Discussion
The present study specifically included patients with gingival cancer of the mandible, treated with marginal mandibulectomy. The aim was to identify preoperative variables, known before surgical treatment to support the selection between MM and SM.
The main finding in this study was an increased risk for LR in higher pT-stage, especially pT3-pT4a. On the contrary, the cT-stage did not significantly correlate with LR. This could be due to misclassification, since more LR appeared in understaged cT1 tumours. Moreover, edentulous patients had a high frequency of LR, signalling caution when considering the use of MM for these patients. In addition, positive soft tissue margins were a strong predictor for LR. This is well known, but important to emphasize since insufficient soft tissue margins are common in OSCC4,12,13 and there is room for improvement.
Although many studies have examined predictors of the oncological outcome of MM in oral cavity cancers4,12,14–21, there is a lack of knowledge about preoperative variables. Perhaps the increased risk for LR observed in edentulous patients, could be explained by a high degree of positive soft tissue margins (37.5%) and a higher T-stage (no cases of pT1 were edentulous). Nonetheless, dental status is known before surgery, as opposed to soft tissue margins and pT-stage.
Similarly, the clinical and radiological assessments of the tumours used in the cT classification are known before the decision of the extent of the surgical treatment is made. In our study the misclassifications of the cT compared to the pT were quite high, 17.9% cT3-cT4a vs. 35.8% pT3-T4a. The LR and LRFS in the present study were 26.8% and 63% respectively, as compared to the reported LR of 5.6–26.4%, and LRFS of 74.6–85.0% in the literature4,12,14,18–22. Still, the DSS in the present study was comparable to the results seen in several other studies4,16,19,22, indicating that salvage treatment was successful for some of the patients with LR. Further, direct comparison is difficult due to several factors: most studies encompass all subsites of OSCC, the degree of bone invasion varies, indications for MM and PORT differ. The surprisingly high amount of cT3-T4a as well as pT3-T4a in our cohort is probably one explanation for the relatively high degree of LR observed. Improved classification of cT, aligned with better agreement to pT, would be important to decrease the risk of undertreatment of understaged tumours. Clinical and radiological assessments determine the cT-stage classification, but analyses of these factors are outside the scope of this study.
Additionally, soft tissue margins are well known to influence the risk for LR, and studies with clear margins and indications for MM restricted to cT1-T2 seem to have less LR14,18,20. Whether tumours with bone invasion or insufficient bone margins portend increased risk for LR is more controversial. Bone invasion into the bone marrow and/or mandibular canal appears to be important for DSS and risk for distant metastasis16–19, and as pointed out before the recommended surgical resection is SM. The size of the tumours is an established risk factor incorporated in the TNM classification23, and actually more important than bone invasion, at least for tumours smaller than 4 cm12,16,17. Several studies have suggested a modified T-staging system within the TNM classification, to provide better prognostic information. In this system, the tumours would first be classified as cT1-T3 based on size, and then upstaged by one T-stage in cases of medullary bone invasion12,16,18. Bone invasion of the mandibular canal would always be classified as cT4a.
Limitations and future studies
The retrospective and observational design are obvious limitations in the present study. This involves the risk of information bias and potential inconsistencies in tumour classification and indications for MM and PORT between different time periods and treatment centers. Differing definitions of bone invasion could be one explanation for the misclassification of cT compared to pT observed in the present study study. Another limitation is that the confidence intervals are generally wide due to low power, a result of the small sample size and the low number of events in the analyses of LRFS and DSS. Because gingival cancer of the mandible is a rare disease, the cohort in the present study still remains one of the larger ones on the subject and therefore contributes to the existing evidence. Also, this study benefits from analysing MM specifically, and thereby avoiding the potential bias of mixing results from treatment by MM and SM, but the above mentioned weaknesses prevent the drawing of strong conclusions.
The most established preoperative risk factor for LR is the cT-stage. Optimising the T-stage classification is important to accurately select candidates for MM. We believe future studies would benefit from specifically including gingival cancers and, if possible, have a prospective design to reduce the risk of bias. Furthermore, future studies should consider evaluating the modified T-stage classification first suggested by Ebrahimi et al.16. Determining the clinically significant soft tissue margin in mm would be important, as close margins have a broad definition (0.01–4.9 mm). This could help guide decisions about adjuvant treatment.
Conclusions
Edentulous patients had an increased risk for LR after MM for gingival cancers of the mandible. More advanced pT-stage and positive soft tissue margins also correlated to more LR, though they are not preoperatively known factors. Future studies of the correlation between cT and pT would be important to provide more robust preoperative support in the selection between MM and SM.
Author contributions
ON: Concept and design, data acquisition, analysis and interpreteation, writing manuscript.MvB: Concept and design, data acquisition, interpretation and revision of the manuscript.AM: Concept and design, substantial part of analysis and interpretation, revision of the manuscript.JK: Concept and design, interpretation, revision of the manuscript.FJL: Concept and design, analysis and interpretation, revision of the manuscript.RB: Concept and design, data acquisition, analysis and interpretation, revision the manuscript.
Funding
Alf funding Region Örebro County. ACTA Otolaryngologica Foundation. Open access funding provided by Örebro University.
Data availability
The data that support the findings of this study are not openly available, but pseudonymised data can be retrieved from the corresponding author upon reasonable request. Data are located in controlled access data storage at Örebro University Hospital.
Declarations
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are not openly available, but pseudonymised data can be retrieved from the corresponding author upon reasonable request. Data are located in controlled access data storage at Örebro University Hospital.