Prognostic value of PSMA, c-MET and E-cadherin in salivary duct carcinoma
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Updated: Dec 6, 2025

Development of Compendium for Esophageal Squamous Cell Carcinoma
Published on: April 12, 2024
Wim van Boxtel1, Maike J M Uijen1, Gerald W Verhaegh2
1Department of Medical Oncology, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, the Netherlands.
Objectives:
Salivary duct carcinoma (SDC) is a rare and aggressive subtype of salivary gland cancer. Androgen receptor (AR) (96%) and HER2 (29-46%) expression, and a high propensity for regional lymph node metastases are hallmarks of the disease. We hypothesized that c-MET, E-cadherin, PSMA tumor and PSMA neovascular expression may be prognostic factors in SDC.
Materials And Methods:
Expression levels of these proteins were established on tissue microarrays containing 165 primary SDC tumor specimens. Association with survival was studied with Kaplan-Meier curves, and univariable and multivariable Cox regression models. Furthermore, association with lymph node status, AR and HER2 expression, and gender was studied.
Results:
We found that patients with high PSMA tumor expression showed a significantly longer overall survival (OS) (median 83 vs. 43 months, P = 0.022), a trend towards a longer DFS (median 51 vs. 22 months, P = 0.094), and significantly reduced hazard ratio for death in the univariable Cox regression model (HR 0.46, P = 0.034). In the multivariable model only a high number of tumor-positive lymph nodes and high age (>80) at diagnosis were prognostic for poor OS. High PSMA tumor expression was also significantly associated with low N-stage (P = 0.001) and expression was higher in women versus men (P = 0.029). High PSMA tumor expression and E-cadherin loss were significantly associated with strong and weak AR-expression, respectively (P = 0.033 and P = 0.007). None of the factors were significantly associated with HER2 expression.
Conclusion:
c-MET, E-cadherin, and tumor and neovascular PSMA expression are no independent prognostic factors in SDC.
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