Abstract
Copy number increase (CNI) of ACTN4 has been associated with poor prognosis and metastatic phenotypes in various human carcinomas. To identify a novel prognostic factor for salivary gland carcinoma, we investigated the copy number of ACTN4. We evaluated DNA copy number of ACTN4 in 58 patients with salivary gland carcinoma by using fluorescent in situ hybridization (FISH). CNI of ACTN4 was recognized in 14 of 58 patients (24.1%) with salivary gland carcinoma. The cases with CNI of ACTN4 were closely associated with histological grade (P = 0.047) and vascular invasion (P = 0.033). The patients with CNI of ACTN4 had a significantly worse prognosis than the patients with normal copy number of ACTN4 (P = 0.0005 log-rank test). Univariate analysis by the Cox proportional hazards model showed that histological grade, vascular invasion, and CNI of ACTN4 were independent risk factors for cancer death. Vascular invasion (hazard ratio [HR]: 7.46; 95% confidence interval [CI]: 1.98–28.06) and CNI of ACTN4 (HR: 3.23; 95% CI: 1.08–9.68) remained as risk factors for cancer death in multivariate analysis. Thus, CNI of ACTN4 is a novel indicator for an unfavorable outcome in patients with salivary gland carcinoma.
Keywords: Actinin-4, ACTN4, head and neck cancer, prognostic marker, salivary gland carcinoma
Introduction
Salivary gland carcinomas are rare malignant tumors comprising about 5% of cancers of the head and neck region 1. In addition, the histopathology of salivary gland tumors is diverse. The classification system of the World Health Organization (WHO) contains at least 24 histopathological types of salivary gland carcinomas. The management of salivary gland carcinomas can be confusing due to the extreme diversity of tumor types, their relative rarity, the requirement for long-term follow-up, and strategy for treatment in many instances to predict outcome. Although the clinical parameters, such as clinical stage, age, and tumor location, are important for the prognostic factors in salivary gland carcinoma, histological grading also ranks highly as a critical prognostic factor. Histological grading may stratify the risk of lymph node metastasis and give a rationale for the extent of surgery and the need for adjuvant therapy 2. If surrogate biomarkers associated with histological grade and/or outcome could be identified, they would become powerful indicators of the optimal treatment strategy for patients with salivary gland carcinoma.
We identified actinin-4, an actin-bundling protein encoded by ACTN4, as a biomarker that could be used to evaluate the invasion and metastasis capabilities of cancer cells 3. The overexpression of actinin-4 proteins was closely associated with the invasive phenotypes of some cancers, such as breast 3, colorectal 4,5, ovarian 6,7, bladder 8,9, oral squamous cell 10, pancreas 11,12, and lung carcinomas 13–15. Oncogene amplification is often observed in aggressive malignant phenotypes of cancer 16. Recently, it has been reported that the amplification of ACTN4 can strictly predict the clinical outcome, and ACTN4 has been recognized as an oncogene 6,11,13.
In the present study, we investigated the copy number of ACTN4 in salivary gland carcinomas by using fluorescent in situ hybridization (FISH). Copy number increase (CNI) of ACTN4 was positively associated with histological grade and poor outcome. We identified the biomarker to predict the outcome of salivary gland carcinoma.
This is the first report to examine the clinical usage of CNI of ACTN4 as a prognostic factor in salivary gland carcinoma.
Patients and Methods
Patients and tissue samples
We reviewed the clinicopathological records of 58 patients who underwent surgical resection with curative intention for salivary gland carcinoma at the National Cancer Center Central Hospital (Tokyo, Japan) between 1997 and 2011.
Formalin-fixed paraffin-embedded tissue samples of 58 salivary gland carcinomas and 10 normal submandibular gland or parotid gland specimens were collected and reviewed in our institution (T. M.) according to the WHO classification of salivary gland carcinomas (Table 1). Histological grade was determined according to the three-tiered grading system proposed by Jouzdani 17.
Table 1.
Association of ACTN4 with clinicopathological characteristics of salivary gland cancer patients
| ACTN4 FISH | Actinin-4 IHC | |||||
|---|---|---|---|---|---|---|
| NCN | CNI | P-value | Negative (0, +1) | Positive (+2, +3) | P-value | |
| Total | 44 (75.9%) | 14 (24.1%) | 19 (32.8%) | 39 (67.2%) | ||
| ADCC | 20 (95.2%) | 1 (4.8%) | 3 (14.3%) | 18 (85.7%) | ||
| CAEPA | 8 (72.7%) | 3 (27.3%) | 5 (45.5%) | 6 (54.5%) | ||
| EMYC | 2 (66.7%) | 1 (33.3%) | 0 | 3 (100%) | ||
| MYC | 0 | 1 (100%) | 1 (100%) | 0 | ||
| ACCC | 3 (100%) | 0 | 1 (33.3%) | 2 (66.7%) | ||
| ACNOS | 5 (71.4%) | 2 (28.6%) | 4 (57.1%) | 3 (42.9%) | ||
| MEC | 3 (75.0%) | 1 (25.0%) | 2 (50.0%) | 2 (50.0%) | ||
| SDC | 2 (50.0%) | 2 (50.0%) | 2 (50.0%) | 2 (50.0%) | ||
| SC | 1 (33.3%) | 2 (66.7%) | 0 | 3 (100%) | ||
| OC | 0 | 1 (100%) | 1 (100%) | 0 | ||
| Age | ||||||
| <67 years | 26 (83.9%) | 5 (16.1%) | 0.1267 | 9 (29.0%) | 22 (71.0%) | 0.5170 |
| ≥67 years | 18 (66.7%) | 9 (33.3%) | 10 (37.0%) | 17 (63.0%) | ||
| Gender | ||||||
| Men | 24 (75.0%) | 8 (25.0%) | 0.8648 | 13 (40.6%) | 19 (59.4%) | 0.1567 |
| Women | 20 (76.9%) | 6 (23.1%) | 6 (23.1%) | 20 (76.9%) | ||
| Size | ||||||
| T1–T2 | 12 (100%) | 0 | 0.0503 | 4 (33.3%) | 8 (66.7%) | 1.000 |
| T3–T4 | 28 (68.3%) | 13 (31.7%) | 14 (34.1.%) | 27 (65.9%) | ||
| Unknown | 4 (80.0%) | 1 (20.0%) | 1 (20.0%) | 4 (80.0%) | ||
| Lymph node metastasis | ||||||
| Absent | 31 (79.5%) | 8 (20.5%) | 0.5141 | 10 (25.6%) | 29 (74.4%) | 0.0980 |
| Present | 13 (68.4%) | 6 (31.6%) | 9 (47.4%) | 10 (52.6%) | ||
| Histological grade | ||||||
| Low, intermediate | 26 (86.7%) | 4 (13.3%) | 0.0465* | 7 (23.3%) | 23 (76.7%) | 0.1134 |
| High | 18 (64.3%) | 10 (35.7%) | 12 (42.9%) | 16 (57.1%) | ||
| Neural invasion | ||||||
| Absent | 23 (76.7%) | 7 (23.3%) | 0.8822 | 11 (36.7%) | 19 (63.3%) | 0.5116 |
| Present | 21 (75.0%) | 7 (25.0%) | 8 (28.6%) | 20 (71.4%) | ||
| Vascular invasion | ||||||
| Absent | 36 (83.7%) | 7 (16.3%) | 0.0326* | 13 (29.5%) | 31 (70.5%) | 0.5141 |
| Present | 8 (53.3%) | 7 (46.7%) | 6 (42.9%) | 8 (57.1%) | ||
FISH, fluorescent in situ hybridization; IHC, immunohistochemistry; ADCC, adenoid cystic carcinoma; CAEPA, carcinoma ex pleomorphic adenoma; EMYC, epithelial-myoepithelial carcinoma; MYC, myoepithelial carcinoma; ACCC, acinic cell carcinoma; ACNOS, adenocarcinoma, not otherwise specified; MEC, mucoepidermoid carcinoma; SDC, salivary duct carcinoma; SC, sebaceous carcinoma; OC, oncocytic carcinoma; NCN, normal copy number; CNI, copy number increase.
P < 0.05. Statistically significant associations are highlighted in bold.
This study was approved by the ethics committee of the National Cancer Center (approval #2010-0759).
TMA construction
Tissue microarrays (TMAs) were prepared from formalin-fixed paraffin-embedded pathological blocks, as previously described 18. TMA blocks were cut into 4-μm-thick sections and subjected to FISH and immunohistochemistry (IHC) 4,11.
Fluorescence in situ hybridization
The FISH probe of bacterial artificial chromosome clone containing ACTN4 and chromosome 19p (a control clone) was purchased from Abnova (Taipei, Taiwan) 13.The labeled bacterial artificial chromosome clone DNA was subjected to FISH as previously described. TMAs were hybridized with FISH probes at 37°C for 48 h. The nuclei were counterstained with 4, 6-duamidino-2-phenylindone. The number of fluorescence signals corresponding to the copy number of ACTN4 and control signals in the nuclei of 20 interphase tumor cells was counted (Y. W. and K. H.).
FISH patterns were defined as described previously 19,20. Briefly, the samples were grouped as normal disomy (two or less ACTN4 signals in more than 90% of cells), low polysomy (four or more ACTN4 signals in more than 10% but less than 40% of tumor cells), high polysomy (four or more ACTN4 signals in more than 40% of tumor cells), and gene amplification (ratio ACTN4/chromosome more than 2, or 15 copies in more than 10% of tumor cells) 19,20.
Immunohistochemistry
The anti-actinin-4 monoclonal antibody (13G9), which we originally established, was purchased from Transgenic Inc. (Kumamoto, Japan) 14. Immunostaining of actinin-4 proteins was performed with the Ventana DABMap detection kit and an automated slide stainer (Discovery XT; Ventana Medical System, Tucson, AZ) 13,14. The expression level of actinin-4 protein was classified as: no expression (immunoreactivity score, 0), in which no tumor cells were stained with anti-actinin-4 antibody; weak expression (+1), in which tumor cells were stained with weaker intensity than endothelial cells; moderate expression (+2), in which less than 30% of tumor cells were stained; and strong expression (+3), in which more than 30% of tumor cells were stained. Two independent investigators (Y. W. and T. M.) who had no clinical information about the cases evaluated the staining patterns.
Statistical analysis
Significant differences were detected by using the Mann–Whitney U test, Student's t-test, Pearson's chi-square test, and Fisher's exact test. Overall survival was measured as the period from surgery to the date of death or last follow-up and was estimated by the Kaplan–Meier analysis. Differences between the overall survival curves were assessed with the log-rank test. Univariate and multivariate analyses were performed with the Cox regression model. Data were analyzed with the StatFlex statistical software package (version 6.0; Artiteck, Osaka, Japan) or the R-project (http://www.r-project.org/) 11,13,14.
Results
Determination of the copy number of ACTN4 by FISH
We determined the copy number of ACTN4 in salivary gland carcinomas by using FISH. Among the 58 tumors, 33 exhibited normal disomy (56.9%), 11 exhibited low polysomy (19.0%), 10 exhibited high polysomy (17.2%), and four exhibited gene amplification (6.9%) (Table 1). Tumors with normal disomy and low polysomy were defined as having normal copy number (NCN) of ACTN4, and tumors with high polysomy and gene amplification were defined as having a CNI of ACTN4, according to the definition of FISH analysis for epidermal growth factor receptor 1 (EGFR) (Fig. 1A and B). Fourteen of 58 tumors (24.1%) exhibited CNI, and 44 of 58 tumors exhibited NCN (75.9%). Histologically, the CNI was recognized in adenoid cystic carcinoma (ADCC) (4.8%, 1/21), carcinoma ex pleomorphic adenoma (CAEPA) (3/11, 27.3%), epithelial-myoepithelial carcinoma (EMYC) (1/3, 33.3%), myoepithelial carcinoma (MYC) (1/1, 100%), adenocarcinoma not otherwise specified (ACNOS) (2/7, 28.6%), mucoepidermoid carcinoma (MEC) (1/4, 25.0%), salivary duct carcinoma (SDC) (2/4, 50%), sebaceous carcinoma (SC) (2/3, 66.7%) and oncocytic carcinoma (OC) (1/1 100%). The NCN and CNI groups had statistically significant differences in histological grade (P = 0.0465) and vascular invasion (P = 0.0326); however, there were no statistically significant differences in histology, age, gender, size, lymph node metastasis, or neural invasion (Table 1).
Figure 1.
Representative copy number status of ACTN4 in salivary gland cancer determined by fluorescence in situ hybridization (FISH) (A and B). Representative expression of actinin-4 protein in normal salivary gland (C and D) and salivary gland cancer (E–H), as determined by immunohistochemistry (IHC). (A) Disomy of ACTN4 in an adenoid cystic carcinoma (ADCC), (B) gene amplification of ACTN4 in ADCC. (C) striated duct, (D) acinar gland, (E) no expression of actinin-4 protein in mucoepidermoid carcinoma (immunoreactivities score 0), (F) weak expression, in salivary duct carcinoma (+1), (G) moderate expression in salivary duct carcinoma (+2), (H) strong expression in sebaceous carcinoma (+3).
Protein expression of actinin-4 determined by IHC
We investigated the protein expression level of actinin-4 by using IHC. Among the 58 tumors, 14 (24.1%) had strong (+3) expression, 25 (43.1%) had moderate (+2) expression, 13 (22.4%) had weak (+1) expression, and six (10.3%) had no (0) expression.
Positive staining for actinin-4 protein, which was defined as moderate expression (+2) and strong expression (+3), occurred in 39 of 58 tumors (67.2%) (Fig. 1E–H). The distribution of actinin-4 protein in histological subtypes is described in Table 1. There were no statistically significant differences between the positive and negative staining groups in terms of age, gender, size, lymph node metastasis, histological grade, neural invasion, or vascular invasion (Table 1).
In normal submandibular salivary glands, actinin-4 proteins were equally expressed in acinar cells, intercalated duct cells, striated duct cells and endothelial cells. In contrast, in the parotid gland, the protein expression level of actinin-4 in acinar cells was weaker than in ductal cells (Fig. 1C and D).
The correlation between copy number of ACTN4 and protein expression of actinin-4
We confirmed the correlation between ACTN4 copy number and protein expression of actinin-4. CNI of ACTN4 was recognized in 12 of 39 (30.8%) tumors with positive staining of actinin-4. CNI was recognized in six of 14 (42.9%) tumors with strong (+3) expression of actinin-4, six of 25 (24.0%) tumors with moderate (+2) expression, and two of 19 (10.5%) tumors with negative (0 and +1) staining (Fig. 2A). Although 18 of 21 ADCCs were positively stained for actinin-4 (85.7%), CNI of ACTN4 was recognized in only one ADCC (4.8%) (Fig. 2A). Therefore, we considered that the expression level of actinin-4 protein is not positively associated with CNI of ACTN4 in ADCC. We then investigated the correlation between protein expression levels and copy number of ACTN4 in salivary gland carcinomas excluding ADCCs. The average copy numbers of ACTN4 in salivary gland carcinomas excluding ADCC were 5.12, 2.90, and 2.47 in tumors with strong expression (+3), moderate expression (+2), and negative staining (0 and +1), respectively. Copy numbers of ACTN4 were significantly increased in tumors with strong expression (+3) of actinin-4 in comparison with negative staining (0 and +1) and moderate expression (+2) (P < 0.01) in salivary gland carcinomas, excluding ADCC (Fig. 2B).
Figure 2.
Collation between copy numbers of ACTN4 and actinin-4 protein. (A) Bar graph of copy numbers of ACTN4 in individual patients (y-axis; average number of ACTN4 signals, gray bars; patients with adenoid cystic carcinoma (ADCC), white bars; patients with salivary gland carcinomas excluding ADCC, *; the patients with copy number increase [CNI]). (B) Box and whisker plot for average number of ACTN4 signals between protein expression levels of actinin-4 proteins in the patients with salivary gland carcinomas excluding ADCC. The average number of ACTN4 signals in the patients with strong expression of actinin-4 protein was significantly higher than the patients with moderate expression or negative staining of actinin-4 protein (P < 0.01, Student's t-test).
The prognostic significance of CNI of ACTN4
Kaplan–Meier analysis revealed that CNI of ACTN4 was significantly correlated with poor outcome in overall survival of the 58 patients with salivary gland carcinoma, including ADCC (P = 0.0005, log-rank test) (Fig. 3A). ADCC has a better prognosis than high-grade histological subtypes of salivary gland carcinoma 21. The correlation analysis between CNI and protein expression in ADCC (Fig. 2A, gray bars) revealed that although 85.7% of ADCCs had strong expression (+3) or moderate expression (+2) of actinin-4 protein, CNI of ACTN4 was recognized in only one tumor. To remove the bias of the unique prognosis of ADCC, we also investigated the prognostic significance with CNI of ACTN4 in 37 salivary gland carcinoma patients excluding ADCC. A statistically significant difference in prognosis was recognized between patients with NCN and patients with CNI (P = 0.0112); the overall survival of patients with CNI was worse than patients with NCN (Fig. 3C). In contrast, the actinin-4 protein expression level was not statistically correlated to overall survival in salivary gland carcinomas when including or excluding ADCC (Fig. 3B and D).
Figure 3.
Overall survival curves of patients with salivary gland carcinomas, including adenoid cystic carcinoma (ADCC) (A and B) or excluding ADCC (C and D), by evaluations of fluorescence in situ hybridization (FISH) (A and C) or immunohistochemistry (IHC) (B and D). The statistical significances were recognized in evaluation of FISH between copy number increase (CNI) and normal copy number (NCN) in patients with salivary gland carcinomas including/excluding ADCC (A and C). In contrast, the statistical significance was not recognized in an evaluation of IHC in both cohorts (B and D).
HR for death in patients with salivary gland carcinoma
We calculated the hazard ratios (HR) of some parameters, including age, gender, size, lymph node metastasis, histological grade, neural invasion, vascular invasion, actinin-4 protein expression, and CNI of ACTN4, for death by using univariate and multivariate Cox regression analysis.
In the patients with salivary gland carcinomas including ADCC, histological grade (HR: 4.69; 95% confidence interval [CI]: 1.50–14.61), vascular invasion (HR: 10.86; 95% CI: 3.56–33.14), and CNI of ACTN4 (HR: 5.21; 95% CI: 1.92–14.19) remained as positive predictors by using univariate analysis, and multivariate analysis revealed that vascular invasion (HR: 7.46; 95% CI: 1.98–28.06) and CNI of ACTN4 (HR: 3.23; 95% CI: 1.08–9.68) were independent positive predictors for death in patients with salivary gland carcinoma (Table 2).
Table 2.
Hazard ratios for death in salivary gland cancer patients
| Univariate analysis1 | Multivariate analysis1 | |||||
|---|---|---|---|---|---|---|
| Variable | HR | 95% CI | P-value | HR | 95% CI | P-value |
| Age | ||||||
| <67/≥67 years | 2.69 | 0.93–7.78 | 0.067 | |||
| Gender | ||||||
| Women/men | 1.20 | 0.45–3.24 | 0.714 | |||
| T classification | ||||||
| T1–T2/T3–T4 | 2.28 | 0.51–10.11 | 0.279 | |||
| Lymph node metastasis | ||||||
| Absent/present | 2.51 | 0.93–6.75 | 0.069 | |||
| Histological grade | ||||||
| Low, intermediate/high | 4.69 | 1.50–14.61 | 0.007765 | 1.32 | 0.31–5.45 | 0.701222 |
| Neural invasion | ||||||
| Absent/present | 1.38 | 0.51–3.71 | 0.524 | |||
| Vascular invasion | ||||||
| Absent/present | 10.86 | 3.56–33.14 | 0.000028 | 7.46 | 1.98–28.06 | 0.002958 |
| Actinin-4 IHC | ||||||
| Negative/positive | 1.64 | 0.53–5.10 | 0.394 | |||
| ACTN4 FISH | ||||||
| NCN/CNI | 5.21 | 1.92–14.19 | 0.001230 | 3.23 | 1.08–9.68 | 0.035815 |
HR, hazard ratio; CI, confidence interval; FISH, fluorescent in situ hybridization; IHC, immunohistochemistry; NCN, normal copy number; CNI, copy number increase.
Univariate and multivariate analysis with Cox proportional hazards regression model. P-values of <0.05 are shown in bold.
We also calculated the HRs for death in patients with salivary gland carcinomas excluding ADCC. Univariate analysis revealed that vascular invasion (HR: 8.58; 95% CI: 2.16–34.11) and CNI of ACTN4 (HR: 4.18; 95% CI: 1.29–13.53) were significant positive predictors for death in salivary gland carcinomas excluding ADCC. Multivariate analysis also revealed that vascular invasion and CNI of ACTN4 were independent risk factors for both salivary gland carcinomas including and excluding ADCC (Table 3).
Table 3.
Hazard ratios for death in salivary gland cancer patients excluding ADCC
| Univariate analysis1 | Multivariate analysis1 | |||||
|---|---|---|---|---|---|---|
| Variable | HR | 95% CI | P-value | HR | 95% CI | P-value |
| Age | ||||||
| <67/≥67 years | 2.52 | 0.68–9.41 | 0.1688 | |||
| Gender | ||||||
| Women/men | 2.10 | 0.57–7.82 | 0.2670 | |||
| T classification | ||||||
| T1–T2/T3–T4 | 1.68 | 0.36–7.81 | 0.5075 | |||
| Lymph node metastasis | ||||||
| Absent/present | 1.55 | 0.50–4.83 | 0.4483 | |||
| Histological grade | ||||||
| Low, intermediate/high | 2.81 | 0.76–10.44 | 0.1228 | |||
| Neural invasion | ||||||
| Absent/present | 1.50 | 0.47–4.72 | 0.4932 | |||
| Vascular invasion | ||||||
| Absent/present | 8.58 | 2.16–34.11 | 0.0023 | 9.00 | 2.15–37.61 | 0.0026 |
| Actinin-4 IHC | ||||||
| Negative/positive | 1.91 | 0.57–6.43 | 0.2912 | |||
| ACTN4 FISH | ||||||
| NCN/CNI | 4.18 | 1.29–13.53 | 0.0168 | 4.35 | 1.28–14.87 | 0.0187 |
ADCC, adenoid cystic carcinoma; HR, hazard ratio; CI, confidence interval; FISH, fluorescent in situ hybridization; IHC, immunohistochemistry; NCN, normal copy number; CNI, copy number increase.
Univariate and multivariate analysis with Cox proportional hazards regression model. P-values of <0.05 are shown in bold.
Discussion
The assessment of prognostic factors in salivary gland carcinoma is difficult due to its low frequency and morphological diversity 22. Histological grading of salivary gland carcinoma is an important predictor of survival 23. It can stratify the risk of lymph node metastases and provide information for deciding the treatment strategy, including the extent of surgery and the use of adjuvant radiotherapy 24. In the present study, we identified a novel predictor for the prognosis of salivary gland carcinoma and found that it was significantly associated with histological grade.
Our laboratory identified the ACTN4 gene product as an actin-bundling protein that was closely associated with cell movement and cancer invasion 3. In a previous study, colorectal cancer cell lines in which actinin-4 was overexpressed stimulated invasive cellular protrusions and had a significantly more invasive phenotype than control cells 4. Moreover, pancreatic and oral squamous cell carcinoma cells in which actinin-4 expression was reduced with siRNA exhibited decreased invasiveness 10,11. An orthotopic transplantation study of cells overexpressing actinin-4 revealed that the regional lymphatic metastasis and destructive invasion to stromal cells were significantly increased in colorectal 4 and pancreatic cancer 11.
Actinin-4 overexpression was also confirmed in solid malignant tumors that had been surgically excised, and protein expression was an unfavorable predictor of patient outcome. One cause of actinin-4 protein overexpression is ACTN4 gene amplification. In fact, gene amplification of ACTN4 has been detected in tumors from patients with pancreatic 11, ovarian 6,7, and lung cancers 13, and correlations between protein expression and gene amplification have been statistically recognized in some cancers. Especially, Noro et al. reported that ACTN4 amplification could more strictly predict poor outcome than actinin-4 protein expression in stage-I adenocarcinoma of the lung 13. To identify the specificity of gene amplification of ACTN4, we previously examined the correlation of gene amplification of a gene near ACTN4. V-akt murine thymoma viral oncogene homolog 2 (AKT2) is located on 19q13, and it is near ACTN4. The distance between ACTN4 and AKT2 is 1.6 Mbp. We previously reported that coamplification of AKT2 and ACTN4 did not necessarily accord for invasion of pancreatic cancer 5,11. The present study is the first report that CNI of ACTN4, including gene amplification and high polysomy of ACTN4, was significantly correlated to histological grade and vascular invasion in salivary gland carcinoma. CNI of ACTN4 was recognized at a frequency greater than 20% in OC (1/1, 100%), MYC (1/1, 100%), SC (2/3, 66.7%), SDC (2/4, 50.0%), EMYC (1/3, 33.3%), ACNOS (2/7, 28.6%), CAEPA (3/11, 27.3%), and MEC (1/4, 25.0%). However, CNI of ACTN4 was not found in patients with acinic cell carcinoma (ACCC) (0/3, 0%) and was rarely observed in patients with ADCC (1/21, 4.8%). The survival time of the patient with CNI of ACTN4 in ADCC was 7 months from the first treatment. Despite the rare frequency of CNI of ACTN4 in ADCC, overexpression of actinin-4 protein was recognized in 85.7% of patients with ADCC. ADCC has several cellular components constructed by ductal epithelial, myoepithelial, and basement cells, and protein expression of actinin-4 is particularly recognized in myoepithelial cells of normal salivary glands. Therefore, it was considered that the protein expression of actinin-4 was dependent on the histological phenotype; however, this was not associated with the genetic alteration that was dependent on malignant change.
-ADCC was different from other subtypes of salivary gland carcinomas, we investigated the correlation between CNI and protein expression of actinin-4 by using 37 patients with salivary gland carcinomas excluding ADCC. Significant correlations were recognized between increased copy numbers of ACTN4 and protein expression levels of actinin-4. This data suggests that the overexpression of actinin-4 protein was stimulated by CNI of ACTN4. Cox regression univariate analysis revealed that histological grade, vascular invasion, and CNI of ACTN4 were risk factors for cancer death in salivary gland carcinoma patients with or without ADCC. The HR of CNI of ACTN4 for death was higher than the HR for the histological grade. In addition, although multivariate analysis revealed that CNI of ACTN4 and vascular invasion were independent risk factors for tumor death, histological grade did not remain as an independent risk factor. These results suggest that CNI of ACTN4 may have a greater impact than histological grade on patient death. Although CNI of ACTN4 was significantly correlated with histological grade and vascular invasion, the protein expression of actinin-4 was not associated with any clinical factors in salivary gland carcinoma. In addition, protein expression could not predict an unfavorable outcome in patients with salivary gland carcinoma. Although CNI of ACTN4 was dominantly recognized in salivary gland carcinoma with invasive phenotypes, it was recognized in only one of 21 cases with ADCC; therefore, we considered the possibility that, due to the overexpression of actinin-4 that was frequently observed in ADCC patients, protein expression is not correlated to an unfavorable prognosis in salivary gland carcinoma. In contrast, protein expression of actinin-4 was recognized in 18 cases with ADCC. An explanation for this observation involved the discrepancy between CNI and protein expression of actinin-4 in ADCC. We analyzed the correlation between overall survival and protein expression of actinin-4 in patients excluding ADCC; although statistical significance was not recognized, it seemed that overall survival in the positive staining group had a poorer prognosis than in the negative staining group. To probe the statistical significance of protein expression of actinin-4, we considered that the power of statistical hypothesis testing was not enough. More non-ADCC salivary gland carcinoma samples are needed to prove a significant correlation between overall survival and protein expression. Moreover, although CNI can quantitatively evaluate the copy numbers of the ACTN4 gene, our evaluation system for protein expression of actinin-4 cannot quantitatively classify the cases with protein expression of actinin-4. Therefore, we considered that CNI of ACTN4 more strictly predicted the vascular invasion of cancer cells and poor prognosis than protein expression of actinin-4. Similar observations have also been recognized in ovarian cancer. We previously reported that the gene amplification of ACTN4 could predict the prognosis of patients with advanced stage ovarian cancer more accurately than protein expression of actinin-4 6.
Ettl et al. reported the occurrence of genomic aberrations of the tyrosine kinase receptors EGFR, human epidermal growth factor receptor 2 (HER2), and hepatocyte growth factor (MET) as well as phosphatase and tensin homolog on chromosome 10 (PTEN) in different subtypes of salivary gland carcinomas 25,26, which have a strong impact on overall survival 27. In addition, they also reported that the metastasis of cervical lymph nodes also correlated with copy number gain of EGFR and HER2, aberration of MET, and PTEN 20. Moreover some translocation and fusion genes are found frequently in MEC t(11;19) (CRYC1-MAML2) 28 or ADCC t(6;9) (MYB-NFIB) 29 and have a prognostic impact. These genetic alterations are considered as a driver for malignant phenotype, and molecular-targeted therapy has gained attention as a new therapeutic strategy for salivary gland carcinomas. In fact, clinical trials with some inhibitors or antibodies for molecular targets, such as gefitinib (a small-molecule EGFR inhibitor), cetuximab (an anti-EGFR antibody), and trastuzumab (an anti-HER2 antibody), were performed for patients with salivary gland carcinomas. Although the results of phase II clinical trials of gefitinib, cetuximab, and trastuzumab have been reported 30,31, standard molecular-targeted therapy has not yet been established for salivary gland carcinoma.
ACTN4 is located on chromosome 19q13.1 11. Genetic alterations of 19q13.1 and ACTN4 have not yet been reported in salivary gland carcinoma. Although a large-scale prospective study to prove the clinical significance for ACTN4 is necessary, we conclude that ACTN4 is a surrogate biomarker for predicting prognosis to support histological grading in salivary gland carcinoma and that the inhibition of the biological function of ACTN4 may impact a new therapeutic strategy for high-grade salivary gland carcinoma.
Acknowledgments
This work was supported by a Grant-in Aid for Scientific Research (B) and a Challenging Exploratory Research from the Ministry of Education, Culture, Sports, Science and Technology (METX) of Japan (K. H.), and the National Cancer Center Research and Development Fund (23-A-38, and 23-A-11) (K. H.). We thank N. Miura, T. Watanabe, and T. Umaki for helpful discussions.
Conflict of Interest
None declared.
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