Introduction

Salivary duct carcinoma (SDC) is a rare malignant salivary gland tumor, most commonly arising in the parotid gland of older patients [1]. It was initially described in 1968 by Kleinsasser, who highlighted its morphologic resemblance with mammary ductal carcinoma [2]. SDC behaves aggressively, with more than half of patients presenting with cervical lymph node or distant metastases at the time of diagnosis [3]. Prognosis for these patients is very poor, with an estimated 5-year overall survival of around 40% for those with nodal disease and essentially 0% for those with distant metastases [4]. Histopathologically, the majority of tumors show perineural, vascular and extraparenchymal invasion consistent with their aggressive biological behavior [1].

Interestingly, more than 70% of SDCs express Androgen Receptor (AR) [5, 6] and about 30% express HER2 [1] through underlying ERBB2 gene amplification that can be detected by fluorescent in situ hybridization (FISH) [7].

The hormone receptor expression profile, as well as the mutational landscape of SDCs resemble apocrine breast cancer, which also often expresses AR and HER2 [8] and has similar genetic alterations as defined by gene expression clustering. These similarities may be useful for extending research findings of apocrine breast cancer to SDCs [9].

Androgen deprivation therapy is commonly used in patients with SDC [5, 10, 11] and there is evidence that some of them can benefit from treatment with trastuzumab when their tumors overexpress HER2 [12, 13].

Trastuzumab is used for treating eligible patients with breast or gastric cancer. The immunohistochemical (IHC) evaluation of HER2 expression has been standardized with guidelines that differ for those two malignancies [14,15,16]. There is no scoring system or consensus regarding HER2 IHC evaluation in SDC. Most past studies have used the scoring system for breast [7, 17, 18], arbitrarily designating positivity based on the intensity of stain, or deferring to ERBB2 amplification status by FISH [1].

Many cancer patients have recently benefited from treatment with checkpoint inhibitors [19]. Tumor cells expressing Programmed Death-Ligand 1 (PD-L1) can escape anti-tumor immune response through PD-L1 interaction with Programmed Death-1 (PD-1) molecule found on immune cells [20, 21]. Anti-PD-1 or anti-PD-L1 medications block this interaction, boosting the anti-cancer immune response [21]. Three recent studies reported the expression of PD-L1 in about 25–50% of SDCs, without any clear associations with morphologic or hormone receptor expression [22,23,24]. Recent data showed clinical benefit for patients with PD-L1-expressing, high-grade salivary gland carcinomas treated with pembrolizumab (anti-PD-1) [25].

PD-L1 expression correlates with the density of tumor infiltrating lymphocytes (TILs) in many cancers including laryngeal squamous cell carcinoma [26] and HER2 positive breast cancer [27]. TILs are favorable prognosticators in many cancers, especially those with high mutation burden such as colorectal cancer [28], breast cancer [29] and malignant melanoma [30]. In a series of 30 high-grade salivary gland cancers, which included 8 SDCs, Nakano et al. did not demonstrate any significant relationship between TILs and PD-L1 expression [23]. No studies have confirmed any prognostic significance of TILs and/or PD-L1 in SDC so far.

We investigated the effectivity of the major existing HER2 IHC scoring systems (breast and gastric) in predicting underlying ERBB2 gene amplification and underlying gene copy number alterations and we evaluated the associations and prognostic role of TILs and PD-L1 in patients with SDC.

Materials and Methods

Case Selection

Archival surgical pathology material from patients with a diagnosis of SDC was recovered from institutional Tissue Registry and evaluated for adequacy. 4 μm thick sections were obtained from Formalin Fixed Paraffin Embedded (FFPE) tissues and stained with hematoxylin and eosin (H&E), then reviewed by two surgical pathologists (KC and JJG) for adequacy and representativeness. Clinical data were obtained through chart review.

TIL Evaluation

We evaluated TILs as the % ratio of the area occupied by TILs to the area of stromal cells in whole H&E sections (Fig. 1), as it has been recommended in recently published guidelines [31, 32]. We reported the values as continuous variables, which facilitates statistical analysis [33].

Fig. 1
figure 1

H&E. SDC with TILs of 70% (a) versus 1% (b)

Immunohistochemistry (IHC)

Unstained sections were stained for the following antigens in an automated immunostaining processor (Ventana Medical Systems, Tuscon, AZ) with the following antibodies: AR (clone AR27, Novocastra, Newcastle Upon Tyne, United Kingdom); HER2 (clone 4B5, Ventana, Tuscon, AZ, USA); PD-L1 (clone 22C3, Dako North America Inc., Carpinteria, CA, USA); CD4 (clone 4B12, Dako North America Inc., Carpinteria, CA, USA); CD8 (clone 144B, Dako North America Inc., Carpinteria, CA, USA). Normal tonsil tissue was used as positive and negative control.

Evaluation was performed by two surgical pathologists (KC and JJG).

For AR IHC, tumors displaying nuclear reactivity were classified as positive (Fig. 2).

Fig. 2
figure 2

SDC H&E (a) with AR IHC positivity in the same area (b)

For HER2 IHC we evaluated membranous reactivity with 3 different systems (Breast, Gastric and Proposed Salivary Gland) as follows:

Breast Scoring System [Wolf et al., endorsed by the College of American Pathologists (CAP)] [14]

0: No staining or incomplete weak staining in ≤ 10% of tumor cells; 1+: Incomplete weak staining in > 10% of tumor cells; 2+: Weak to moderate complete staining in > 10% of tumor cells; 3+: Complete strong staining in > 10% of tumor cells.

Gastric Scoring System (Bartley et al. Endorsed by CAP) [16]

0: No staining or staining in < 10% of tumor cells; 1+: Weak, partial staining in ≥ 10% of tumor cells; 2+: Weak to moderate complete, lateral or basolateral staining in > 10% of tumor cells; 3+: Strong, complete, lateral or basolateral staining in ≥ 10% of tumor cells.

Salivary Gland Scoring System (suggested by our group) (Fig. 3b, e, h, k with corresponding H&Es in Fig. 3a, d, f, j)

Fig. 3
figure 3

SDC H&E (left column) with corresponding HER2 IHC (middle column) and FISH (right column). Evaluation according to the proposed salivary gland HER2 IHC scoring system showed values of 0 (b), 1+ (e), 2+ (h) and 3+ (k) with corresponding negative FISH (c, f, i) in 0, 1+ and 2+ and positive FISH (l) in 3+

0: No staining; 1+: Weak staining in < 50% of tumor cells; 2+: Weak staining in ≥ 50% or strong staining in < 50% of tumor cells; 3+: Strong staining in ≥ 50% of tumor cells.

Regarding PD-L1, tumor or immune cells were considered positive when they displayed membranous reactivity (Fig. 4b). We used the combined positive score (CPS) which is calculated by assessing the number of PD-L1 positive tumor cells and immune cells divided by the total number of viable tumor cells [34]. In addition to being more suitable for predicting clinical outcomes, CPS also has excellent inter-observer agreement reproducibility [35].

Fig. 4
figure 4

SDC H&E (a, c) with corresponding positive (b CPS = 7) and negative (d CPS = 0) PD-L1 IHC

CD4 and CD8 IHC was evaluated manually (JJG and KC) and the CD4:CD8 ratio was calculated by dividing the average number of CD4 expressing and CD8 expressing cells in “hotspot” areas of expression, as previously described [36].

Fluorescent In Situ Hybridization (FISH)

FISH was performed with the PathVysion HER2 DNA dual probe set (Abbott Molecular Inc. Des Plaines, IL, USA) on 4 μm thick FFPE sections. The probes included CEP17, targeting chromosome 17 centromere (green color) and HER2, targeting chromosomal region 17q11.2-q12 (orange color). Interpretation followed the most recent American Society of Clinical Oncology (ASCO)/CAP recommendations [14] as follows:

First, the cases were classified in five groups according to the HER2 signals per cell and HER2 to CEP17 ratio. Group 1: HER2:CEP17 ≥ 2.0 and HER2 signals/cell ≥ 4.0; Group 2: HER2:CEP17 ≥ 2.0 and HER2 signals/cell < 4.0; Group 3: HER2:CEP17 < 2.0 and HER2 signals/cell ≥ 6.0; Group 4: HER2:CEP17 < 2.0 and HER2 signals/cell ≥ 4.0 and < 6.0; Group 5: HER2:CEP17 < 2.0 and HER2 signals/cell < 4.0. Then, the tumors were classified into positive (Group 1, Group 2 or 4 with concurrent IHC 3+, Group 3 with concurrent IHC 2 + or 3 +) (Fig. 3l) or negative (all other cases) (Fig. 3c, f, i) for ERBB2 amplification.

Chromosome 17 copy numbers that are detected by FISH can vary either artifactually, because of nuclear sectioning during tissue preparation, or truly because of genetic instability or presence of true aneusomy [37]. For these reasons we further sub-classified non-amplified cases, depending on the average number of CEP17 (green) and HER2 (orange) signals as follows: Monosomy (CEP17 and HER2 ≥ 1 and 1.5); Normal (CEP17 and HER2 ≥ 1.5 and ≤ 2.5) and Aneusomy (CEP17 and HER2 ≥ 2.5 and < 4.0).

Statistical Analysis

Assessment of Normality

Kolmogorov–Smirnov or Shapiro–Wilk tests were used as applicable to detect normal distribution of continuous variables and triage selection of the relevant parametric or non-parametric tests.

Frequency Distributions

We used the Chi-square or Fisher’s exact test to detect differences in frequency distributions, as applicable.

Mean Values

We used t-test or the non-parametric Mann–Whitney U-test, as applicable, in order to assess differences in mean values.

Correlations

Pearson’s correlation coefficient or Spearman’s rho was used to detect correlations.

Agreement

Cohen’s kappa coefficient was used to assess the level of agreement between categorical variables.

Cut-Off Values

We used the median to group cases in those with high versus low values. In order to detect additional statistically significant associations we occasionally used the mean value plus or minus one (or more) standard deviations as a cut-off.

Survival Analysis

Log-rank test and Cox proportional hazards model were used to assess the impact of certain variables on survival. The end point was defined as the time of death or the time of patient last follow up and the censored event was “death from SDC” versus “alive or death from other cause”.

Statistical Significance

p-values < 0.05 were considered as statistically significant in all the above mentioned statistical assessments.

Software

IBM SPSS Statistics Version 25 was used for statistical analysis.

Ethical Considerations

We received approval by the Mayo Clinic Institutional Review Board (Application Number 12-001311; last approval date: 2/28/2017).

Results

Patient and Tumor Characteristics

Our cohort included 32 patients diagnosed with SDC between years 1961 and 2007. A synopsis of the main clinicopathologic characteristics can be found in Table 1. The majority of patients were older men with a small or medium-sized tumor of the parotid gland, presenting at an advanced pathologic stage, with the majority of them having T3 or T4a disease with nodal involvement and more than a third with distant metastases. Half of the tumors were pure SDCs while the rest were the malignant component of carcinoma ex pleomorphic adenoma (ex-PA) (Fig. 5). More than half of the tumors showed extraparenchymal extension and many had perineural invasion. The majority of patients were initially treated with surgery and adjuvant radiotherapy and few received chemotherapy. The tumor recurred in 21 of 32 patients (65%) within an average of 17 months (earliest 49 days, latest 79 months) from the initial diagnosis. Most of these patients were treated with a combination of radiotherapy, chemotherapy and surgery for their recurrence. Most patients were diagnosed and treated before the trastuzumab era and only one of them (initially diagnosed in 2007) was treated with trastuzumab and experienced partial response, before eventually developing liver and bone metastases and succumbing to the disease. The majority of chemotherapy regimens contained cisplatin, 5-fluorouracil or a combination of both with other medications. Androgen deprivation was administered in one of the patients, who eventually died of the disease after a course of 7 years. The total follow-up period in our cohort ranged between 6 months and 21 years, averaging 5 years. At the end of the follow-up period only 5 of the patients (16%) were alive, 2 (6%) had passed away of other causes and the majority of them (25 patients or 78%) had died of complications of SDC, most commonly extensive metastatic disease to the lung (6 patients or 24%), bone (5 patients or 20%), liver (4 patients or 16%), brain or skin (2 patients each or 8% each).

Table 1 Clinicopathologic characteristics of patients with salivary duct carcinoma
Fig. 5
figure 5

H&E. SDC arising in pre-existing pleomorphic adenoma

Tumor Infiltrating Lymphocytes (TILs)

We assessed TILs in 28 of 32 tumors. The remaining 4 were from intraparotid lymph nodes with metastases or direct extension of the tumor and were not appropriate for evaluation. TILs showed a wide range (1–70%) and a relatively high mean value of 23.1% (standard deviation 16.7%), with a median of 20%. Representative examples of tumors with high (70%) and low (1%) levels of TILs can be seen in Fig. 1.

Immunohistochemistry (IHC)

AR

All 32 cases (100%) displayed nuclear expression of AR (Fig. 2). Staining was almost always strong and diffuse. In a few circumstances there were a few heterogeneous areas with lesser intensity and scattered groups of non-reactive cells. A few tumors showed cytoplasmic reactivity in addition to nuclear reactivity.

HER2

Evaluation was performed with 3 different scoring systems (breast, gastric and salivary gland). The scores of each case are listed in Supplementary Table 1. Most tumors were classified as 3+ with all 3 scoring systems and more specifically 18/32 (56%) with the breast, 22/32 (69%) with the gastric and 19/32 (59%) with the salivary gland scoring system. 7/32 (22%) tumors were classified as 0 with all 3 systems and a minority of tumors were classified as 1+ (3 cases with breast and 4 with salivary gland system) or 2+ (4 cases with breast, 3 with gastric and 2 with salivary gland system). Representative pictures of cases evaluated with the salivary gland system can be seen in Fig. 3b, e, h, k.

We found statistically significant agreement between the 3 scoring systems, more robust between salivary gland with breast (Kappa = 0.896, p < 0.01) than salivary gland with gastric (Kappa = 0.652, p < 0.01) or breast with gastric (Kappa = 0.605, p < 0.01).

PD-L1

The majority of cases (19/32, 59%) were negative (Fig. 4d) for PD-L1 as determined by the combined positive score (CPS). The rest 13/32 (41%) were classified as positive (Fig. 4b) and displayed a wide range of CPS scores ranging from 1.5 to 34 (median 6.00, mean 8.04, standard deviation 8.55). All positive cases showed patchy staining pattern.

CD4 and CD8

Five cases with TILs ≥ 40% were further evaluated by IHC for CD4 and CD8 and showed a consistently elevated CD4:CD8 ratio ranging from 2:1 to 10:1 (Fig. 6) (ratios in the remaining three cases were 4:1; 5:1 and 6:1).

Fig. 6
figure 6

SDC with stromal TILs of 40% (a) and predominance of CD4 (b) versus CD8 (c) T-cells with a ratio of 10:1

Fluorescent In Situ Hybridization (FISH)

Most tumors had an ERBB2 copy number alteration, either in the form of amplification, which was the most common (19/32, 59%), followed by aneusomy (6/32, 19%). A single tumor (1/32, 3%) had monosomy and the rest (6/32, 19%) did not have any detectable abnormality. A complete list of FISH findings can be found in Supplementary Table 1.

Statistical Analysis

Salivary Gland HER2 IHC Scoring System Accurately Predicts ERBB2 Amplification Status as Determined by FISH

ERBB2 amplification status showed statistically significant positive correlations with HER2 IHC interpretation regardless of the scoring system (Table 2). We obtained a higher Spearman’s Rho correlation coefficient with our Proposed Salivary Gland scoring system than with the other 2 scoring systems. In addition, salivary gland scoring system flagged all 19 cases with ERBB2 amplification as 3+, with the rest of cases scoring 2+ or lower. This was not observed with the gastric scoring system, which evaluated three cases without amplification as 3+, nor for the breast scoring system which had a case with amplification scored as 2+.

Table 2 Comparison of three different HER2 immunohistochemistry scoring systems with ERBB2 gene amplification status by FISH

Increased ERBB2 Copy Numbers are Associated with Higher TIL Densities and PD-L1 Expression

We grouped the cases according to the underlying ERBB2 status in those harboring aneusomy or amplification (25/32, 78%), therefore having increased ERBB2 gene dosage and those with monosomy or disomy (7/32, 22%), having normal or decreased gene dosage. We then compared for various clinicopathologic factors (Table 3). Cases with monosomy or normal FISH were all negative for HER2 (salivary gland scoring system) and PD-L1 by IHC and had low TIL densities. This was markedly different in the cases with aneusomy or ERBB2 amplification, none of which scored 0 for HER2 by IHC. These cases also had higher TIL densities, and more than half were positive for PD-L1. We did not detect any significant differences regarding the patients’ age, tumor size or histologic subtype (pure SDC versus SDC ex-PA). The frequency of ERBB2 amplification in the SDC ex-PA group was slightly higher than in pure SDCs (62.5% versus 56.25%), but the finding was not statistically significant (Chi-square p = 0.719).

Table 3 Comparison of hormone receptor status (HER2 and AR) and tumor immune microenvironment characteristics (TILs and PD-L1) in groups with different FISH findings

High TIL Densities are Favorable Prognosticators for Patients with SDC

We attempted to identify any impact of the studied variables on patients’ survival. We were limited by the small amount of cases included in the cohort and the resulting small number of censored events. However, we were able to detect a small subset (5/32, 16%) of patients, whose tumors had TILs of 40% or more and had significantly better overall survival than the rest of the cohort (Log-Rank test p = 0.013) (Supplementary Fig. 1), despite the underlying ERBB2 amplification (4/5, 80%) or aneusomy (1/5, 20%) identified by FISH.

In univariate analysis, higher TILs were predictors of better overall survival in those patients (Hazard Ratio: 0.18, p = 0.024. We also examined various other factors (PD-L1, HER2 expression, ERBB2 status, tumor size, patient age, tumor histology, pathologic stage, extraparenchymal extension and perineural invasion) and were unable to obtain any statistically significant results. Finally, we did not find any statistically significant correlation between TILs and PD-L1 or any other of the above mentioned factors.

Discussion

Clinicopathologic Characteristics

Our cohort included 32 patients with an average age of 61.78 years, a male propensity (72%) and localization in the parotid gland. These findings are in accordance with those described in larger cohorts (Table 4) [1, 3, 4, 38, 39]. Half of the tumors showed histology of SDC ex-PA. In various case series, the percentage of SDCs ex-PA ranges from 20% [40] to 47.5% [38]. In the latter study, Stodulski et al. reported a statistically significant association between SDC ex-PA histology and shorter disease-free survival, but not overall survival [38]. We did not find any such association in our cohort. Dalin et al. identified two cases of SDC ex-PA with PLAG1 fusions (CTNNB1-PLAG1 and LIFR-PLAG1) [9]. PLAG1 rearrangements are extremely common in pleomorphic adenomas and carcinomas ex-PA [41]. Bahrami et al. suggest that a combination of FISH and IHC can be helpful in distinguishing carcinomas ex-PA from de novo malignancies [42]. Although we did not find any outcome differences between pure SDCs and SDCs ex-PA, PLAG1 studies may help distinguish between the two groups and potentially identify differences in larger cohorts.

Table 4 Demographics in large salivary duct carcinoma cohorts

Our study confirms that despite the small size of SDCs (mean 3.03 cm in our cohort and 2.8 cm in the series of 228 cases by Jayaprakash et al. [3]), they have aggressive histology, such as perineural invasion and extraparenchymal extension and are diagnosed in a clinically advanced stage with nodal or distant metastases. In our cohort, 65% of patients had nodal involvement and 37% had distant metastases at the time of diagnosis. In a total of 723 patients from the two large series by Osborn [4] and Jayaparakash [3], the aggregate frequency of nodal and distant metastatic involvement was 47% and 12% respectively and treatment with a combination of surgery with radiotherapy and chemotherapy was the rule.

SDC prognosis is poor on the long term. In our cohort, 25 of 32 patients (78%) died at the end of the follow-up period and a mortality rate of 50% or more seems to be common [3, 38, 40]. Interestingly, in the cohort by Gilbert et al. no patients had recurrence or distant metastasis after being free of disease for 5 years or more [1].

Tumor Infiltrating Lymphocytes (TILs)

High densities of TILs have been associated with better prognosis in many cancers including breast [29], lung [43, 44], colon [45], ovarian [46], endometrial [47], gastric [48] and malignant melanoma [30]. Similarly, TILs are important in patients with head and neck cancer, with most published studies concentrating on laryngeal [26, 49], pharyngeal [50], or oral cavity squamous cell carcinomas [51]. Comprehensive studies of TILs in salivary gland malignancies are currently lacking. Karja et al. reported no prognostic significance of lymphoplasmacytic infiltrates in their case series of 216 patients with benign and malignant salivary gland tumors [52]. Nakano et al., in their cohort of 30 patients with salivary gland cancer, 8 of whom with SDC, did not find any significant survival differences in patients with low versus high TILs [23]. Chang et al., in a cohort of 70 patients including 11 with SDC, reported a possible prognostic impact of CD8 + TILs in relapse-free survival, but not in overall survival. This effect was not retained in multivariate analysis which also included PD-1 and PD-L2 status [53]. Our study is the first demonstrating a clear patient survival benefit for SDCs with TILs ≥ 40%, as morphologically assessed in whole H&E sections according to the established guidelines [31, 32].

Further subtyping of TILs by IHC in cases with TILs ≥ 40% showed a consistently increased CD4:CD8 ratio. Previous studies have shown that under normal conditions, the CD4:CD8 ratio is 2:1 or above and decreases with immunodeficiency of variable etiologies, most notably aging [54]. An increased CD4:CD8 ratio is indicative of a competent immune reaction [55] and is in keeping with the brisk TILs observed in a subset of SDCs. Studies in other tumors have shown that the anti-tumor immune effect is mostly due to the presence of CD8 + T-cells, with CD4 + T-cells having a more regulatory role [56]. On the other hand, morphologically assessed TILs are more representative of the overall anti-tumor immune reaction and have been proven to be a superior prognostic tool to IHC for specific T-cell subsets [57].

Androgen Receptor (AR) Status

All of our 32 cases showed nuclear expression of AR. The underlying molecular mechanism of AR expression is not entirely clear. Mitani et al. identified the presence of an additional copy of chromosome X, where the AR gene is located, in around 40% of SDCs. The resulting increased gene copy dosage may be a good explanation, but is not supported by the accompanying IHC findings, which showed tumors with extra copies of the gene staining negative for AR [58]. Alternative mechanisms of AR expression in SDC may be forkhead box protein A1 (FOXA1) or fatty acid synthase (FASN) gene mutations or amplification, observed in AR-expressing SDCs [9]. Both FOXA1 and FASN have been described as critical mediators in steroid receptor signaling of human cancers, most notably prostate [59, 60]. A few of our cases showed cytoplasmic staining of AR in addition to nuclear, a finding also mentioned by Mitani et al. [58]. Some cases showed a heterogeneous AR staining pattern with scattered non-reactive neoplastic nuclei. We were not able to identify an association of these findings with any other clinicopathologic characteristics and the explanation for these staining patterns remains unclear at this moment.

ERBB2 Copy Numbers and HER2 Immunohistochemistry

About 30% of SDCs express HER2 with underlying gene amplification [1]. ERBB2 gene amplification is also observed in 30% of patients with breast cancer and is associated with a worse overall prognosis [61], but also responsiveness to treatment with trastuzumab, a humanized monoclonal antibody against HER2 protein [62]. In contrast, ERBB2 amplification is not clearly associated with worse outcomes in patients with SDC [1, 7], although there have been some small case series showing adverse prognosis for SDC patients with ERBB2 amplification [63].

Many of the past HER2 IHC studies in SDC have used the breast scoring system for evaluating staining patterns [7, 64], which can be misleading as HER2 is expressed in a variety of heterogeneous carcinomas with markedly different clinical course and treatment [65].

A constant challenge of IHC interpretation is reaching consensus on what constitutes a positive result. Clarity of definition of a positive immunostain is important in reaching interobserver agreement. HER2 scoring has traditionally followed a semi-quantitative system, which takes into consideration both the number of positive cells and the pattern of staining observed [66, 67]. Meyerholz and Beck discuss in detail the several advantages and limitations of developing semi-quantitative scoring systems for IHC in research. Ease of use without special equipment, cost-effectiveness and the ability to identify group related differences are cited as the most important characteristics. The biggest limitation mentioned is observer bias and lack of interobserver agreement that can be reduced with implementing clear definitions and criteria [68].

We proposed a scoring system which can accurately predict the underlying ERBB2 status, as all cases that scored 3+ had underlying amplification, cases that scored 0 had either diploidy or monosomy and those which scored 1+ or 2+ had aneusomy. This can be a useful tool for inferring the underlying ERBB2 status from IHC results and also identifying tumors which are more likely to express PD-L1, as discussed below. Also, our proposed system uses definitions that are conceptually easy to implement in every day practice, as the quantity of immunoreactive cells is stratified into “none” and “less or more than half” and the quality of staining into “none”, “weak” and “strong”. Although this suggested system has not been validated in larger case series, or between different observers we expect interobserver variability to be comparable, if not better than that of the existing scoring systems.

Dogan et al. recently reported significantly increased frequency of ERBB2 amplification in SDCs ex-PA in comparison to pure SDCs [69]. In our case series we also noticed slightly increased prevalence of ERBB2 amplification in the SDC ex-PA group (62.5% versus 56.25%), which was not statistically significant (Chi-square p = 0.719).

Although amplification is the most common genetic aberration of ERBB2 in SDCs, point mutations have also been described and are important because they may provide treatment implications. The mutation, ERBB2 p.S310F reported by Dogan et al. [69] has a known association with responsiveness to trastuzumab in breast cancer patients, even without concurrent ERBB2 amplification [70]. Breast tumors with ERBB2 p.V842I, identified in SDC by Khoo et al. [71], respond to lapatinib [72].

Aneuploidy in SDC is not a new finding. In 1994 Barnes et al. described aneuploidies in 9 of 13 (69%) and in 1995 Grenko et al. in 10 of 12 (83%) patients, but in neither of those two studies did the authors find statistically significant associations with outcomes or other clinicopathologic characteristics [73, 74]. In 2010 Williams et al. detected chromosome 17 polysomy in 15.7% of SDC cases (8 of 51), one of which had concurrent ERBB2 amplification and two of which had HER2 IHC expression. Chromosome 17 polyploidies were not associated with any other clinicopathologic factors or outcomes, in contrast to chromosome 7 polysomy which was associated with EGFR expression and more aggressive clinical course [64]. Genomic instability in cancer can often arise in a background of aneuploidy [75], although a direct causal relationship between the two has been notoriously challenging to establish because aneuploidy is frequently observed in karyotypically stable tumors and also in healthy tissues [76]. Tumors with genomic instability tend to accumulate a higher mutational burden and elicit a stronger anti-tumor inflammatory response, making patients more likely to benefit from treatment with checkpoint inhibitors [77]. PD-L1 IHC is an established tool to screen eligible patients in a variety of tumors [78], with a number of recent publications exploring the role of PD-L1 expression in SDCs.

PD-L1 Status

Sato et al. described expression of PD-L1 in the tumor cells of 50% (9 of 18) of SDCs and also identified unfavorable prognosis [79]. Mikaigawa et al. also mention worse prognosis in 22.8% (50 of 219) of patients with PD-L1 expressing SDCs [22]. These prognostic findings were not validated in our study, nor by the cohorts of Hamza et al. (frequency of PD-L1 reactivity 26% of 113 cases) [24] or by the most recent study by Xu et al. In fact, Xu et al. reported conflicting results depending on the scoring system, with adverse outcomes for patients with higher than 25% of PD-L1 staining tumor cells, but better outcomes for those with a CPS ≥ 1 [80]. This finding highlights the need for standardization in PD-L1 interpretation in SDC, as IHC evaluation may be affected by pre-analytical factors (fixation, tissue handling) and variations in expression due to treatment effect or tumor heterogeneity [81].

Limitations

Our study included a small number of patients (N = 32) and uncensored events (N = 25), which makes it unsuitable for unbiased multivariate analysis, as the most accepted recommendation for a multivariate model is to include one variable per ten uncensored events [82]. SDC is a rare tumor and availability of surgical pathology material and comprehensive clinical information can be challenging. Most of the published case series included a comparable number of cases with ours, with the exceptions of the big epidemiological studies by Osborn et al. (National Cancer Database) [4] and Jayaprakash et al. (Surveillance, Epidemiology and End Results database) [3] as well as the clinicopathologic studies by Boon et al. from the Netherlands [39] and Hamza from MD Anderson Cancer Center [24]. Validation and further analysis of our findings in a larger series, comparable to the latter two is necessary.

PD-L1 IHC can be performed with many different commercially available antibodies. Stains can be hard to interpret because of the variable staining patterns seen with different clones and the multiple cell types present [83]. We used clone 22C3 (Dako North America Inc., Carpinteria, CA, USA) which is most suitable for predicting response to pembrolizumab [84]. A definitive study assessing the interchangeable use of all available antibodies is currently missing, probably with the exception of Hamza et al. who used both clones 22C3 and 28–8 (Dako North America Inc. Carpinteria, CA, USA) and identified higher frequency of positivity with clone 28–8 in SDC [24]. The experience from treating patients with non-small cell lung carcinoma has shown that different clones are suitable for predicting response to different checkpoint inhibitors [83, 84]. It would be an interesting future study to compare staining patterns of different PD-L1 clones in SDCs.

Apart from PD-L1 IHC, other tests may be more suitable for detection of clinically significant associations and determination of eligibility for receiving checkpoint inhibitors among patients with SDC. Multiple recent studies on salivary gland malignancies have been focusing on PD-L2, also a ligand of PD-1. Chang et al. found PD-L2 expression to be associated with poor prognosis in a series of 70 salivary gland malignancies, 15.7% of which were SDCs [53]. These findings were validated by Nakano et al. who reported poor prognosis in patients with malignant salivary gland tumors co-expressing PD-L1 and PD-L2, with all SDCs, mucoepidermoid carcinomas or carcinomas ex-PA with PD-L2 expression developing distant metastases [23].

Conclusions

In summary, the major findings and conclusions from our study of 32 patients with SDCs are the following:

  • TILs ≥ 40% are associated with better overall prognosis.

  • A high CD4:CD8 T-cell ratio is observed in SDCs with TILs ≥ 40%.

  • We proposed a HER2 IHC Salivary Gland scoring system accurately predicts ERBB2 aneusomy or amplification.

  • Increased ERBB2 gene copy numbers, as detected by FISH and inferred from HER2 IHC, are associated with higher TIL densities and PD-L1 expression.

  • HER2 IHC alone can triage further testing for PD-L1, as tumors with HER2 IHC of 1+, 2+ or 3+ are more likely to co-express PD-L1.