Skip to main content

Role of postoperative radiotherapy in resected adenoid cystic carcinoma of the head and neck

Abstract

Purpose

Although postoperative radiotherapy (PORT) is demonstrably effective in local control of head and neck adenoid cystic carcinoma (HNACC), its application is controversial and the subset of patients who would benefit most from PORT is unknown. Herein, we analyzed the data of HNACC patients to clarify the role of PORT.

Methods

We retrospectively reviewed 187 patients with nonmetastatic HNACC who underwent surgical resection between 2005 and 2019. The study endpoints were locoregional failure-free survival (LRFFS), progression-free survival (PFS), and overall survival (OS). Subgroup analysis and recursive partitioning analysis (RPA) were performed to identify patients most likely to benefit from PORT.

Results

With a median follow-up of 84.7 months, the 5-year LRFFS, PFS, and OS were 70.0%, 52.6%, and 86.4%, respectively. Survival was significantly shorter in patients who experienced local failure than in those who did not (5-year OS: 88.1% vs. 80.5%, P = 0.001). The local failure rate was significantly lower in patients who underwent PORT (16.9% vs. 31.0%, P = 0.021), despite the high frequency of adverse factors. Especially, significant decreases in local failure and similar OS rates could be obtained after PORT among patients with positive margins, T2-4 stage disease, and minor salivary gland tumors. The RPA model for PFS categorized patients into four groups according to three prognostic factors (T-stage, location, and sex). The RPA model for LRFFS and OS suggested three groups based on two factors (T-stage, margin for LRFFS; T-stage, grade 3 for OS).

Conclusion

PORT could prevent dismal survival, while significantly reducing local failures in high-risk HNACC patients.

Introduction

Adenoid cystic carcinoma (ACC) is a rare malignancy of the salivary glands of the head and neck, accounting for approximately 1% of head and neck malignancies and 10% of malignant tumors of the salivary glands [1]. It is the second most common malignant salivary gland tumor in the parotid gland and the most common malignant subtype in the submandibular and sublingual glands [2, 3]. Histologically, the three principal growth patterns of ACC are solid, cribriform, and tubular; the solid pattern, which is known to be more aggressive, is characterized by frequent local relapse and distant failure. ACCs are characterized by a poor prognosis due to slow but locally aggressive growth and a high rate of distant metastases even years after the initial diagnosis.

Surgical resection followed by radiation is the standard of care for the management of the majority of ACC cases, irrespective of anatomic location or gland subtype. However, the preponderance of perineural invasion (PNI) and advanced T classification at presentation often limit the scope of surgery and are responsible for the high local recurrence rate even after surgery. Consequently, postoperative radiotherapy (PORT) can be considered as an important adjuvant strategy for the treatments of ACCs. PORT has been shown to increase locoregional control at all stages of the disease [4, 5], and a survival benefit can be anticipated even in the early stage [6]. Based on recent studies, the American Society of Clinical Oncology (ASCO) and National Comprehensive Cancer Network (NCCN) guidelines recommend PORT for all patients with resected ACC [7, 8]. However, various conflicting results [1, 9,10,11] have led to ambiguity regarding the improvement in local control and survival imparted by PORT in patients with ACC. Further research is also needed to determine the subset of patients who would derive the greatest benefit from PORT. Moreover, although the probability of lymph node metastasis is low, it is controversial whether elective neck treatment is necessary in cN0 ACCs.

However, the role of PORT must continue to be specifically explored, in situations where effective adjuvant therapies, including systemic chemotherapy, are limited. We postulated that PORT can improve survival duration as well as control of locoregional recurrence in a certain subset of patients with ACC. In this study, we analyzed patients with head and neck ACCs who had received surgical resection with or without PORT to clarify the effects of the former on the prognosis. We attempted to provide individualized suggestions for PORT in patients with ACCs by reviewing our treatment experience over a long period.

Materials and methods

Patients

A total of 228 patients were pathologically diagnosed with nonmetastatic head and neck ACC (major or minor glands) and treated at Yonsei Cancer Center between January 2005 through December 2019. We only included patients who had undergone surgery with the intent of curative resection (± PORT) in the analysis. The following patients were excluded: 11 patients who underwent initial surgery at other hospitals without an accurate record of the baseline data, 14 with initial distant metastases, 10 patients were lost to follow-up within 3 months of treatment, and 6 patients who did not undergo surgery (and received definitive radiotherapy instead). Overall, 187 consecutive patients who had undergone surgical resection for head and neck ACC were included in this study. The medical records of these patients were collected and analyzed retrospectively. The study was approved by our institutional review board (No. 9–2022-0100), and requirement for informed consent was waived.

Treatment policy

Surgical resection was considered first in resectable cases. Surgery involved resection of the primary tumor with appropriate reconstruction. A selective approach was employed for neck dissection. The extent of lymph node dissection was determined at the surgeon’s discretion, mainly based on the patient’s medical history, clinical palpation, imaging data, and intraoperative exploration. Generally, the indications for PORT included stage III/IV cancer and adverse pathological factors such as close/positive margins, PNI, high histologic grade, and R2 resected tumors. All tumors were staged according to using the American Joint Committee on Cancer (AJCC) 8th edition. Histologic grade was classified into the following three grades [12, 13]: Grade I, tumors with tubular and cribriform areas but without solid components; Grade II, cribriform tumors that were either pure or mixed with less than 30% of solid areas; and Grade III, tumors with a predominantly solid pattern. The median prescription dose delivered to the post-operative bed was 63 Gy, which was increased to 66 Gy if the margins were positive. The high-risk clinical target volume (CTV) for the PORT field included the pre-operative gross disease and the post-operative tumor bed at the primary site, in addition to any nodal regions with disease involvement. In some node-negative patients, the adjacent lymph node areas were also included in the low-risk CTV, at the radiation oncologist’s discretion. In patients with PNI, the field of radiation encompassed the path of the nerves to the skull base to cover potential spread to the nerves. The prescribed dose delivered to the intermediate- and low-risk CTV was 45–60 Gy. The planning target volume was obtained by adding a margin of 3 to 5 mm to the CTV. Patients were treated with 3-dimensional conformal radiotherapy (3D-CRT) or intensity-modulated radiotherapy (IMRT), depending on the period of treatment. Neck treatment denoted neck lymph node dissection or neck irradiation, which was performed therapeutically in all node-positive cases or prophylactically in some node-negative cases.

Follow-up for treatment outcomes and statistical analysis

After finishing the first session of treatment, patients were followed up every 3 months for the first 2 years, and every 6 months thereafter, until death. Pathologic confirmation or radiographic evidence (computed tomography, magnetic resonance imaging, or positron emission tomography/computed tomography) was necessary to determine the presence and location of recurrence. The pattern of the first recurrence was classified as local, regional, locoregional, and distant failure. Locoregional failure-free survival (LRFFS; i.e., the time from surgery to the first appearance of locoregional failure), local failure-free survival (LFFS; i.e., the time from surgery to the first appearance of local failure), progression-free survival (PFS; i.e., the time from surgery to any type of failure), and overall survival (OS; i.e., the time from surgery to death due to any cause or last follow-up) were calculated using Kaplan–Meier estimates. Univariate and multivariate Cox regression analyses was performed to confirm the role of clinicopathological factors and PORT at each survival endpoint (LRFFS, PFS, and OS). We included age, sex, primary tumor location, histological grade, tumor size, T stage, N stage, extracapsular extension, surgical margin, PNI, lymphovascular invasion (LVI), and PORT in the Cox model. Only those factors that were significant in the univariate analysis and had no multicollinearity were included in the multivariate model.

We performed the following analyses to identify patients who were most likely to benefit from PORT. First, recursive partitioning analysis (RPA) was performed based on the same variables, except PORT. Recursive partitioning is a method of building decision trees to model predictors [14], which uses Kaplan–Meier estimates of survival and modified Wilcoxon tests to establish branches in the decision tree [15, 16]. It examines all possible cut-offs for all variables entered into the model. These cut-off values are used to divide the dataset into two relatively homogeneous populations that differ significantly with respect to survival. Final RPA models were established for LRFFS, PFS, and OS, respectively. Second, forest plots were generated to summarize the adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for the validated predictors of LRFFS, PFS, and OS only in the PORT group.

Statistical analyses were conducted using SPSS Statistics, version 25 (IBM Corp) or the party package [17] in R version 4.2.1 (R Foundation for Statistical Computing). All P values were two-sided with statistical significance set at P < 0.05.

Results

Patients and survival outcomes

Overall, 82 patients with ACC of the major salivary glands (parotid gland, 15.5%; submandibular gland, 19.8%; and sublingual gland, 8.6%) and 105 patients with ACC of the minor salivary glands were included in this study. Sixty-one patients underwent surgical resection alone, 124 patients received PORT (± concurrent chemotherapy), and 2 patients underwent preoperative RT. A median dose of 63.0 Gy was prescribed to patients with RT, and elective lymph node irradiation was performed in 59.5% of patients. Overall neck treatment was performed in 104 patients: 90 at N0 stage (elective aim), 6 at N1 stage (therapeutic aim), and 8 at N2 stage (therapeutic aim). The proportion of patients according to the type of neck treatment is shown in Table 1. All other patient characteristics are also detailed in Table 1.

Table 1 Patients’ characteristics

The median follow-up duration was 84.7 months (range: 3.8–204.4) from the date of surgery. The 5-year LRFFS, PFS, and OS were 70.0%, 52.6%, and 86.4%, respectively (Fig. 1). Locoregional failure occurred in 46 cases (24.6%; local failure only, 39; regional failure only, 5; and local + regional failure, 2), distant failure occurred in 67 cases (35.8%), and 47 patients (25.1%) died. The duration of survival of patients with local or distant failure was significantly shorter than that of patients who did not experience local or distant failure (5-year OS: 88.1% vs. 80.5%, P = 0.001; 93.2% vs. 74.5%, P < 0.001). The occurrence of regional failure had no significant effect on survival (5-year OS 71.4% vs. 87.0%, P = 0.203) (Fig. 2). Salvage treatment was performed in 79.5% of patients with recurrences (local treatment (surgery and/or RT), n = 57; systemic chemotherapy alone, n = 13, respectively). The 5-year OS rates of patients with local treatments and no salvage treatment were 80.5% and 86.7%, respectively, which were higher than those of patients with systemic chemotherapy (61.5%) (local vs. chemotherapy, P = 0.014; local vs. none, P = 0.511; chemotherapy vs. none, P = 0.372) (Additional file 1: Fig. S1). The results of univariate and multivariate analyses for the relationship of each survival endpoint with the other prognostic factors are shown in Additional file 1: Tables S1 and S2.

Fig. 1
figure 1

Kaplan–Meier curves of progression-free survival (PFS), locoregional failure-free survival (LRFFS), and overall survival (OS) for all patients

Fig. 2
figure 2

Kaplan–Meier estimates for overall survival depending on whether the patients had experienced a locoregional, b local, c regional, or d distant failure

Patients were stratified based on whether or not PORT was performed. The proportion of patients with an advanced T-stage or node-positive tumor, positive resection margin, PNI, LVI, and bone invasion was significantly greater in the PORT group compared to that in the non-PORT group (Table 2). Despite the higher frequency of poor prognostic factors, the incidence of local failure in patients who received PORT was significantly lower than that in patients who did not receive PORT. Contrarily, there was no difference in the regional failure rate, while the distant failure rate was significantly lower in the non-PORT group [Additional file 1: Table S3]. There was no significant difference in the LRFFS (5-year 69.6% vs. 70.7%, P = 0.948) or LFFS (5-year, 68.7% vs. 73.2%; P = 0.807), but PFS and OS were significantly lower in patients who received PORT (5-year PFS 46.6% vs. 64.2%, P = 0.023; 5-year OS 81.1% vs. 96.8%, P = 0.002).

Table 2 Comparison of basic characteristics between patients who underwent postoperative radiotherapy [PORT (+)] and those who did not undergo postoperative radiotherapy [PORT (−)]

In patients with positive margin tumors, the local failure rate decreased significantly after PORT (20.9% vs. 61.1%, P = 0.001), and there was no difference in the OS (5-year 77.5% vs. 94.4%, P = 0.149). Moreover, patients with T2-4 stage tumors experienced a significant decrease in the local failure rate after PORT (5-year 20.2% vs. 45.2%, P = 0.005), and there was no significant difference in the OS (5-year 77.5% vs. 96.8%, P = 0.085). In patients with minor salivary gland tumors, the local failure rate decreased significantly after PORT (0.0% vs. 16.0%, P = 0.008), and there was no significant difference in the OS (5-year, 85.0% vs. 100.0%; P = 0.085).

RPA model for each survival endpoint in the entire cohort

Four RPA models were generated based on each of the endpoints (PFS, LFFS, LRFFS, and OS). The final RPA model for PFS categorized patients into 4 risk groups according to three prognostic factors [T-stage (≥ 2), location (major salivary gland or not), and sex]: group 1, low risk; group 2, intermediate-low risk; group 3, intermediate-high risk; and group 4, high risk (Fig. 3A). The corresponding 5-year PFS rates of groups 1, 2, 3, and 4 were 79.6%, 62.6%, 44.2%, and 17.6%, respectively. The RPA model for LFFS categorized patients into four risk groups using the same prognostic factor with the model for PFS (Fig. 3B). The RPA model for LRFFS categorized patients into 3 risk groups according to two prognostic factors [T-stage (≥ 2) and positive resection margin]: group 1, low risk; group 2, intermediate risk; and group 3, high risk (Fig. 3C). The corresponding 5-year LRFFS rates of groups 1, 2, and 3 were 87.8%, 80.0%, and 53.4%, respectively. The RPA model for OS categorized patients into 3 risk groups according to two prognostic factors [T stage (≥ 2) and histological grade (grade 3 or not)]: group 1, low risk; group 2, intermediate risk; and group 3, high risk (Fig. 3D). The corresponding 5-year OS rates for groups 1, 2, and 3 were 98.0%, 86.6%, and 52.9%, respectively.

Fig. 3
figure 3

Prognostic grouping of all patients based on recursive partitioning analysis for predicting A progression-free survival (PFS), B local failure-free survival (LFFS), C locoregional failure-free survival (LRFFS), and D overall survival (OS). ACC adenoid cystic carcinoma

Subgroup analysis of patients who received PORT

A total of 124 patients received PORT. The 5-year PFS, LRFFS, and OS of this group were 46.6%, 69.6%, and 81.1%, respectively. Akin to the total study cohort, the survival duration of patients with local or distant failure was significantly shorter than that of those without such failure (5-year OS 71.4% vs. 83.2%, P = 0.002; 70.9% vs. 88.6%, P < 0.001). The occurrence of regional failure had no significant effect on survival (5-year OS: 60.0% vs. 82.0%, P = 0.139). Univariate analysis revealed that major salivary gland location, histological grade < 3, small tumor size, T1 stage, and absence of LVI were significantly associated with the PFS (all P < 0.05). Location (major salivary gland), tumor size, and LVI were independently significant factors associated with the PFS, according to the multivariate analysis (P = 0.014, 0.029, and 0.019, respectively). Univariate analysis revealed that major salivary gland location, histological grade < 3, tumor size, T1 stage, negative resection margin, and IMRT (vs. 3D-CRT) were significantly associated with a favorable LRFFS (all P < 0.05). Histological grade, tumor size, resection margin, and RT technique were significant factors that were independently associated with the LRFFS, as revealed by multivariate analysis (P = 0.041, 0.021, 0.011, and 0.004, respectively). Both histological grade and resection margin were significant prognostic factors for LRFFS in the multivariate analyses of OS (P = 0.004 and 0.045, respectively), and also served as significant prognostic factors for all three endpoints. The forest plots for each endpoint and the HRs are shown in Fig. 4.

Fig. 4
figure 4

Forest plot analysis of (A) progression-free survival (PFS), B locoregional failure-free survival (LRFFS) and C overall survival (OS) in 124 patients who received postoperative radiotherapy

Discussion

Our study found that regional failure did not affect survival, but the incidence of local failure resulted in significantly shorter survival in patients with ACC. Accordingly, PORT conferred a survival benefit, while significantly reducing local failure. Although we could not demonstrate that PORT prolonged survival by a significant extent, we confirmed the possibility of prognosis improvement in a specific patient subset. Tumors with a grade of T2 or higher, positive margins, and minor salivary gland location should be strongly considered for intensified local therapies (i.e., the addition of PORT, or radiation dose escalation) even after surgical resection. Since the survival can be significantly worse in patients who possess multiple risk factors, including the above-mentioned prognostic indicators, closer monitoring during follow-up is needed. Thus, eventually, surgeons and radiologists can screen patients with ACC who would benefit the most from PORT while providing them with sound advice on adjuvant treatment. We believe that our RPA model for each survival endpoint will also be immensely helpful in determining follow-up plans and treatment strategies.

ACC, which accounts for 3–5% of all head and neck malignancies, is characterized by a slow and persistent growth rate, local invasiveness, low probability of lymphatic spread, and frequent lung metastases. According to previous studies, the 5-year OS, 10-year OS, and 5-year PFS rates were approximately 64–91%, 37–65%, and 50–76%, comparable to those of our study (5-year OS: 86.4% and 5-year PFS: 46.9%). After radical surgery, the local control rate is known to range from 30–70%. Local recurrence is known as one of the principal patterns of treatment failure in patients with ACC. Similarly, a local recurrence rate of 21.9% was observed in our study. Consequently, the key to improving the efficacy of treatment in patients with ACC is to reduce local recurrence. Our finding that the survival of patients who experienced local failure was significantly poor supports this hypothesis.

In an effort to better characterize ACC, studies have attempted to identify the relationships between clinicopathological predictors including stage, clinical presentation, treatment modality and local control, distant metastases, and survival. In our study, we found that T stage, location, sex, margin, histologic grade, and LVI are significant prognostic factors, both in the entire study cohort and in the subgroup of patients who received PORT. Similar to our findings, several clinicopathologic factors were found to be significant risk factors for survival in patients with head and neck ACCs. Positive resection margins were identified as an independent negative prognostic factor, especially for local control by several studies [18,19,20,21,22]. In addition, several studies found an association between the T stage, N stage, age, performance status, and solid histology, and dismal prognosis [23,24,25,26]. Studies that evaluated the prognostic significance of PNI have reported conflicting outcomes, with some identifying it as an important factor [5, 27, 28] and others finding no survival impact [10, 23, 25, 29, 30]. Involvement of the submandibular gland is also associated with worse survival compared to other major glands [31, 32]. Although sex has not been a very common risk factor in head and neck ACC, several studies showed that female patients have significantly better survival rates [33, 34]. These findings suggest the need to evaluate more thoroughly the possible sex differences in terms of biology and behavior of disease. Moreover, hormonal influences may have had an impact, and women could be more likely to adhere to the treatment plan or tolerate the treatment. It is also possible that women are more likely to seek medical attention and therefore received an earlier diagnosis.

Surgical resection and PORT constitute the primary tumor management for ACC. Although PORT is considered as one of the principal treatments for ACCs [8], its impact on survival remains debatable. Owing to the rarity of incidence of ACCs, randomized controlled studies to elucidate the role of PORT or determine the subset of the ACC population most likely to benefit have been limited. PORT reportedly exerts a positive impact on survival and improves local control [5, 6, 11, 21, 27, 35, 36]. Better local control is of particular importance in delaying disease progression and maintaining the quality of life [21]. Several researchers have attempted to find the subset who would derive benefits from PORT. Although the recent SEER study [32] found that PORT conferred no survival benefit in patients with early-stage and non-submandibular ACC, it was significantly beneficial in submandibular stage III ACC. Chen et al. [37] reported that the LRFFS improved significantly after PORT in intermediate and high-risk patients stratified according to T stage, margin, location, and bone invasion. However, a few studies have reported little or no benefit with PORT [9,10,11, 33, 34, 38].

In our study, the addition of PORT to the treatment regimen of high-risk patients, with a poor prognosis, resulted in survival comparable to that of those who did not receive PORT. Although the difference was not significant in low-risk patients, they might also derive some benefit from PORT. The discrepancy among the results of previous studies may be attributed to the variations in the study design, eligibility, follow-up duration, and sample size. We conducted a detailed analysis of the effect on the pattern of recurrences through several subgroup analyses to clarify the benefit of PORT to the greatest extent possible, and posited the potential mechanism underlying survival improvement with PORT. Moreover, we demonstrated that as local recurrences may lead to a dismal prognosis, active local therapy is required for such patients.

The radiotherapeutic approach for PORT is challenging due to the presence of numerous radiosensitive structures in the head and neck region, as doses ranging between 60 and 70 Gy should be achieved in macroscopic tumors. Recent advances in radiation oncology and treatment planning have led to the implementation of IMRT. This treatment technique allows optimization of target volume coverage, while facilitating reduction in the dose to the surrounding organs at risk. Therefore, a higher total dose could be achieved with better coverage of the target volume. Several studies using IMRT showed an improvement in local control rates and acceptable toxicities [39,40,41]. Due to the radioresistance of ACC and prognosis improvement after a higher RT dose (≥ 60 Gy) [21, 42], RT techniques using high linear energy transfer particles have been also evaluated. Charged particle beams such as proton therapy and carbon ion radiotherapy are characterized by a Bragg peak that enables delivery of larger doses of radiation to the tumor while significantly lowering the dose to the surrounding healthy tissues. Recently, carbon-ion radiotherapy is increasingly used for ACC irradiation, based on immunological, molecular, and clinicopathological rationale [42]. Carbon-ion radiotherapy has shown excellent local control rates in the adjuvant setting as well as in the definitive setting, without an increase in grade ≥ 3 toxicities [42,43,44]. Although we could not demonstrate the effectiveness of heavy-ion therapy in this study, we showed that the RT technique (IMRT) was an independent significant prognostic factor for LRFFS.

ACC is known for infrequent lymphatic spread to the neck, despite a high rate of local and distant recurrence. While therapeutic neck dissection is performed in all clinically node-positive patients, management of cN0 neck remains controversial, and elective neck dissection is not routinely performed in these patients. While isolated lymph node involvement may not have a significant effect on survival, it can be a risk factor for subsequent distant metastases [45]. According to a recent meta-analysis [46], there was no significant difference in survival between the elective neck dissection and observation arms. In addition, most of the patients do not develop regional metastases during follow-up, making elective neck dissection questionable in terms of prognosis. In our study, elective neck treatment was performed in 48% of node-negative patients, and the aim or type of neck treatment was not a significant prognostic factor. Thus, the role of elective neck treatment in initially node-negative ACC patients is still inconclusive. In addition, there is a lack of consensus on the treatment field of elective neck treatment. Nevertheless, a subgroup with a higher risk of occult neck metastasis would exist, and they would benefit from elective neck treatment. Therefore, further well-balanced studies are needed, and efforts to create an international consensus should be taken to address this issue.

Our study had several limitations. First, its retrospective design could have affected the statistical power, leading to selection bias and measurement bias. Second, a follow-up period longer than the median 84.7 months of our study may be needed. Although tumor progression usually occurs within 5 years and decreases rapidly after 5 years in other tumors, the survival rates of patients with ACC can decrease continuously for more than 10 years after initial treatment [37, 47]. Third, the prognostic importance of salvage treatment should also be addressed further. The survival period of ACC patients is usually long despite repetitive disease recurrences and limited effective salvage treatment options. In our study, the survival of patients who received local salvage treatment was significantly longer regardless of the type of recurrence. As we could not perform more detailed analyses, follow-up studies for the optimal local salvage treatment and patient selection are still needed. Therefore, more comprehensive, prospective studies with larger sample sizes are necessary in the future.

In conclusion, PORT is an important factor in improving the local control rate of head and neck ACCs. In selected patients, it is expected to prolong survival by decreasing local failures significantly. PORT should be individualized to enhance the treatment efficacy and avoid unnecessary adverse events. Larger sample sizes and longer follow-up time are required to clarify the benefit of PORT not only in low-risk, but also in high-risk patients. Our RPA model will be a useful tool for predicting the patient's prognosis in advance and selecting optimal adjuvant treatment strategies.

Availability of data and materials

Research data are stored in an institutional repository and will be shared upon request to the corresponding author.

References

  1. Coca-Pelaz A, Rodrigo JP, Bradley PJ, Vander Poorten V, Triantafyllou A, Hunt JL, et al. Adenoid cystic carcinoma of the head and neck–An update. Oral Oncol. 2015;51(7):652–61.

    Article  PubMed  Google Scholar 

  2. Liu Y, Li H, Qin L, Huang X, Su M, Han Z. Prognostic factors in malignant sublingual salivary gland tumors. J Oral Maxillofac Surg. 2017;75(7):1542–8.

    Article  PubMed  Google Scholar 

  3. Adelstein DJ, Koyfman SA, El-Naggar AK, Hanna EY. Biology and management of salivary gland cancers. Semin Radiat Oncol. 2012;22(3):245–53.

    Article  PubMed  Google Scholar 

  4. Bjorndal K, Krogdahl A, Therkildsen MH, Charabi B, Kristensen CA, Andersen E, et al. Salivary adenoid cystic carcinoma in Denmark 1990–2005: outcome and independent prognostic factors including the benefit of radiotherapy. Results of the Danish Head and Neck Cancer Group (DAHANCA). Oral Oncol. 2015;51(12):1138–42.

    Article  PubMed  Google Scholar 

  5. Mendenhall WM, Morris CG, Amdur RJ, Werning JW, Hinerman RW, Villaret DB. Radiotherapy alone or combined with surgery for adenoid cystic carcinoma of the head and neck. Head Neck. 2004;26(2):154–62.

    Article  PubMed  Google Scholar 

  6. Lee A, Givi B, Osborn VW, Schwartz D, Schreiber D. Patterns of care and survival of adjuvant radiation for major salivary adenoid cystic carcinoma. Laryngoscope. 2017;127(9):2057–62.

    Article  CAS  PubMed  Google Scholar 

  7. Geiger JL, Ismaila N, Beadle B, Caudell JJ, Chau N, Deschler D, et al. Management of salivary gland malignancy: ASCO guideline. J Clin Oncol. 2021;39(17):1909–41.

    Article  PubMed  Google Scholar 

  8. Caudell JJ, Gillison ML, Maghami E, Spencer S, Pfister DG, Adkins D, et al. NCCN guidelines(R) insights: head and neck cancers, Version 1.2022. J Natl Compr Canc Netw. 2022;20(3):224–34.

    Article  PubMed  Google Scholar 

  9. Meyers M, Granger B, Herman P, Janot F, Garrel R, Fakhry N, et al. Head and neck adenoid cystic carcinoma: a prospective multicenter REFCOR study of 95 cases. Eur Ann Otorhinolaryngol Head Neck Dis. 2016;133(1):13–7.

    Article  CAS  PubMed  Google Scholar 

  10. Iseli TA, Karnell LH, Graham SM, Funk GF, Buatti JM, Gupta AK, et al. Role of radiotherapy in adenoid cystic carcinoma of the head and neck. J Laryngol Otol. 2009;123(10):1137–44.

    Article  CAS  PubMed  Google Scholar 

  11. Ali S, Palmer FL, Katabi N, Lee N, Shah JP, Patel SG, et al. Long-term local control rates of patients with adenoid cystic carcinoma of the head and neck managed by surgery and postoperative radiation. Laryngoscope. 2017;127(10):2265–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Perzin KH, Gullane P, Clairmont AC. Adenoid cystic carcinomas arising in salivary glands: a correlation of histologic features and clinical course. Cancer. 1978;42(1):265–82.

    Article  CAS  PubMed  Google Scholar 

  13. Szanto PA, Luna MA, Tortoledo ME, White RA. Histologic grading of adenoid cystic carcinoma of the salivary glands. Cancer. 1984;54(6):1062–9.

    Article  CAS  PubMed  Google Scholar 

  14. Gordon L, Olshen RA. Tree-structured survival analysis. Cancer Treat Rep. 1985;69(10):1065–9.

    CAS  PubMed  Google Scholar 

  15. Dinse GE, Lagakos SW. Nonparametric estimation of lifetime and disease onset distributions from incomplete observations. Biometrics. 1982;38(4):921–32.

    Article  CAS  PubMed  Google Scholar 

  16. Ciampi A, du Berger R, Taylor HG, Thiffault J. RECPAM: a computer program for recursive partition and amalgamation for survival data and other situations frequently occurring in biostatistics. III. Classification according to a multivariate construct. Application to data on Haemophilus influenzae type b meningitis. Comput Methods Programs Biomed. 1991;36(1):51–61.

    Article  CAS  PubMed  Google Scholar 

  17. Torsten Hothorn KH, Achim Z. Unbiased recursive partitioning: a conditional inference framework. J Comput Gr Stat. 2006;15(3):651–74.

    Article  Google Scholar 

  18. Amit M, Na’ara S, Trejo-Leider L, Ramer N, Burstein D, Yue M, et al. Defining the surgical margins of adenoid cystic carcinoma and their impact on outcome: an international collaborative study. Head Neck. 2017;39(5):1008–14.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Silverman DA, Carlson TP, Khuntia D, Bergstrom RT, Saxton J, Esclamado RM. Role for postoperative radiation therapy in adenoid cystic carcinoma of the head and neck. Laryngoscope. 2004;114(7):1194–9.

    Article  PubMed  Google Scholar 

  20. Rapidis AD, Givalos N, Gakiopoulou H, Faratzis G, Stavrianos SD, Vilos GA, et al. Adenoid cystic carcinoma of the head and neck. Clinicopathological analysis of 23 patients and review of the literature. Oral Oncol. 2005;41(3):328–35.

    Article  PubMed  Google Scholar 

  21. Chen AM, Bucci MK, Weinberg V, Garcia J, Quivey JM, Schechter NR, et al. Adenoid cystic carcinoma of the head and neck treated by surgery with or without postoperative radiation therapy: prognostic features of recurrence. Int J Radiat Oncol Biol Phys. 2006;66(1):152–9.

    Article  PubMed  Google Scholar 

  22. Prokopakis EP, Snyderman CH, Hanna EY, Carrau RL, Johnson JT, D’Amico F. Risk factors for local recurrence of adenoid cystic carcinoma: the role of postoperative radiation therapy. Am J Otolaryngol. 1999;20(5):281–6.

    Article  CAS  PubMed  Google Scholar 

  23. Shen C, Xu T, Huang C, Hu C, He S. Treatment outcomes and prognostic features in adenoid cystic carcinoma originated from the head and neck. Oral Oncol. 2012;48(5):445–9.

    Article  PubMed  Google Scholar 

  24. Jang S, Patel PN, Kimple RJ, McCulloch TM. Clinical outcomes and prognostic factors of adenoid cystic carcinoma of the head and neck. Anticancer Res. 2017;37(6):3045–52.

    PubMed  PubMed Central  Google Scholar 

  25. Choi Y, Kim SB, Yoon DH, Kim JY, Lee SW, Cho KJ. Clinical characteristics and prognostic factors of adenoid cystic carcinoma of the head and neck. Laryngoscope. 2013;123(6):1430–8.

    Article  PubMed  Google Scholar 

  26. Ikawa H, Koto M, Takagi R, Ebner DK, Hasegawa A, Naganawa K, et al. Prognostic factors of adenoid cystic carcinoma of the head and neck in carbon-ion radiotherapy: the impact of histological subtypes. Radiother Oncol. 2017;123(3):387–93.

    Article  PubMed  Google Scholar 

  27. Garden AS, Weber RS, Morrison WH, Ang KK, Peters LJ. The influence of positive margins and nerve invasion in adenoid cystic carcinoma of the head and neck treated with surgery and radiation. Int J Radiat Oncol Biol Phys. 1995;32(3):619–26.

    Article  CAS  PubMed  Google Scholar 

  28. Ozdemir C, Karacetin D, Tuna S, Karadeniz A. Treatment and clinicopathologic predictors for adenoid cystic carcinomas of the head and neck. J BUON. 2011;16(1):123–6.

    CAS  PubMed  Google Scholar 

  29. Oplatek A, Ozer E, Agrawal A, Bapna S, Schuller DE. Patterns of recurrence and survival of head and neck adenoid cystic carcinoma after definitive resection. Laryngoscope. 2010;120(1):65–70.

    Article  PubMed  Google Scholar 

  30. Ko YH, Lee MA, Hong YS, Lee KS, Jung CK, Kim YS, et al. Prognostic factors affecting the clinical outcome of adenoid cystic carcinoma of the head and neck. Jpn J Clin Oncol. 2007;37(11):805–11.

    Article  PubMed  Google Scholar 

  31. Amini A, Waxweiler TV, Brower JV, Jones BL, McDermott JD, Raben D, et al. Association of adjuvant chemoradiotherapy vs radiotherapy alone with survival in patients with resected major salivary gland carcinoma: data from the national cancer data base. JAMA Otolaryngol Head Neck Surg. 2016;142(11):1100–10.

    Article  PubMed  Google Scholar 

  32. Tasoulas J, Divaris K, Theocharis S, Farquhar D, Shen C, Hackman T, et al. Impact of tumor site and adjuvant radiotherapy on survival of patients with adenoid cystic carcinoma: a SEER database analysis. Cancers (Basel). 2021;13(4):5555.

    Article  Google Scholar 

  33. Ellington CL, Goodman M, Kono SA, Grist W, Wadsworth T, Chen AY, et al. Adenoid cystic carcinoma of the head and neck: incidence and survival trends based on 1973–2007 surveillance, epidemiology, and end results data. Cancer. 2012;118(18):4444–51.

    Article  PubMed  Google Scholar 

  34. Lloyd S, Yu JB, Wilson LD, Decker RH. Determinants and patterns of survival in adenoid cystic carcinoma of the head and neck, including an analysis of adjuvant radiation therapy. Am J Clin Oncol. 2011;34(1):76–81.

    Article  PubMed  Google Scholar 

  35. Jensen AD, Poulakis M, Nikoghosyan AV, Welzel T, Uhl M, Federspil PA, et al. High-LET radiotherapy for adenoid cystic carcinoma of the head and neck: 15 years’ experience with raster-scanned carbon ion therapy. Radiother Oncol. 2016;118(2):272–80.

    Article  PubMed  Google Scholar 

  36. Takebayashi S, Shinohara S, Tamaki H, Tateya I, Kitamura M, Mizuta M, et al. Adenoid cystic carcinoma of the head and neck: a retrospective multicenter study. Acta Otolaryngol. 2018;138(1):73–9.

    Article  PubMed  Google Scholar 

  37. Chen Y, Zheng ZQ, Chen FP, Yan JY, Huang XD, Li F, et al. Role of postoperative radiotherapy in nonmetastatic head and neck adenoid cystic carcinoma. J Natl Compr Canc Netw. 2020;18(11):1476–84.

    Article  PubMed  Google Scholar 

  38. Khafif A, Anavi Y, Haviv J, Fienmesser R, Calderon S, Marshak G. Adenoid cystic carcinoma of the salivary glands: a 20-year review with long-term follow-up. Ear Nose Throat J. 2005;84(10):6624–7.

    Article  Google Scholar 

  39. Munter MW, Schulz-Ertner D, Hof H, Nikoghosyan A, Jensen A, Nill S, et al. Inverse planned stereotactic intensity modulated radiotherapy (IMRT) in the treatment of incompletely and completely resected adenoid cystic carcinomas of the head and neck: initial clinical results and toxicity of treatment. Radiat Oncol. 2006;1:17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Lee N, Xia P, Fischbein NJ, Akazawa P, Akazawa C, Quivey JM. Intensity-modulated radiation therapy for head-and-neck cancer: the UCSF experience focusing on target volume delineation. Int J Radiat Oncol Biol Phys. 2003;57(1):49–60.

    Article  PubMed  Google Scholar 

  41. Munter MW, Thilmann C, Hof H, Didinger B, Rhein B, Nill S, et al. Stereotactic intensity modulated radiation therapy and inverse treatment planning for tumors of the head and neck region: clinical implementation of the step and shoot approach and first clinical results. Radiother Oncol. 2003;66(3):313–21.

    Article  PubMed  Google Scholar 

  42. Loap P, Vischioni B, Bonora M, Ingargiola R, Ronchi S, Vitolo V, et al. Biological rationale and clinical evidence of carbon ion radiation therapy for adenoid cystic carcinoma: a narrative review. Front Oncol. 2021;11:789079.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sulaiman NS, Demizu Y, Koto M, Saitoh JI, Suefuji H, Tsuji H, et al. Multicenter study of carbon-ion radiation therapy for adenoid cystic carcinoma of the head and neck: subanalysis of the japan carbon-ion radiation oncology study group (J-CROS) study (1402 HN). Int J Radiat Oncol Biol Phys. 2018;100(3):639–46.

    Article  PubMed  Google Scholar 

  44. Koto M, Hasegawa A, Takagi R, Ikawa H, Naganawa K, Mizoe JE, et al. Evaluation of the safety and efficacy of carbon ion radiotherapy for locally advanced adenoid cystic carcinoma of the tongue base. Head Neck. 2016;38(Suppl 1):E2122–6.

    Article  PubMed  Google Scholar 

  45. Spiro RH. Distant metastasis in adenoid cystic carcinoma of salivary origin. Am J Surg. 1997;174(5):495–8.

    Article  CAS  PubMed  Google Scholar 

  46. Suton P, Luksic I. Prognostic value of elective neck dissection in adenoid cystic carcinoma of head and neck: a meta-analysis: A call for randomized trials and international consensus. Int J Oral Maxillofac Surg. 2021;50(11):1403–7.

    Article  CAS  PubMed  Google Scholar 

  47. Jones AS, Hamilton JW, Rowley H, Husband D, Helliwell TR. Adenoid cystic carcinoma of the head and neck. Clin Otolaryngol Allied Sci. 1997;22(5):434–43.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

None

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2021R1A2C1010900). This study was supported by faculty research grants conferred by Yonsei University College of Medicine (6-2020-0115).

Author information

Authors and Affiliations

Authors

Contributions

SHC and AJY analyzed, interpreted the patient data and wrote the manuscript. SHC, AJY, SOY, HRK, MHH, SHK, ECC, KCK, and CGL are contributors for analysis. SHC, AJY and CGL major contributors for conceptualization and interpretation. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chang Geol Lee.

Ethics declarations

Ethics approval and consent to participate

This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the institutional review board of the Yonsei Cancer Center (No. 9-2022-0100).

Consent for publication

Not applicable.

Competing interests

None of the authors have any conflicts of interest to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Supplementary Table 1. Results of univariate analyses for locoregional failure-free survival (LRFFS), progression-free survival (PFS), and overall survival (OS) in all patients. Supplementary Table 2. Results of multivariate analyses for locoregional failure-free survival (LRFFS), progression-free survival (PFS), and overall survival (OS) in all patients. Supplementary Table 3. Comparison of treatment failure rates between patients who underwent postoperative radiotherapy (PORT [+]) and those who did not undergo postoperative radiotherapy (PORT [-]). Supplementary Figure 1. Kaplan-Meier estimates for overall survival (a) according to whether the patient received salvage treatment or not, and (b) according to the type of salvage treatments.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, S.H., Yang, A.J., Yoon, S.O. et al. Role of postoperative radiotherapy in resected adenoid cystic carcinoma of the head and neck. Radiat Oncol 17, 197 (2022). https://doi.org/10.1186/s13014-022-02165-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13014-022-02165-5

Keywords