RESUMO
Tumors of the major and minor salivary glands histologically encompass a diverse and partly overlapping spectrum of frequent diagnostically challenging neoplasms. Despite recent advances in molecular testing and the identification of tumor-specific mutations or gene fusions, there is an unmet need to identify additional diagnostic biomarkers for entities lacking specific alterations. In this study, we collected a comprehensive cohort of 363 cases encompassing 20 different salivary gland tumor entities and explored the potential of DNA methylation to classify these tumors. We were able to show that most entities show specific epigenetic signatures and present a machine learning algorithm that achieved a mean balanced accuracy of 0.991. Of note, we showed that cribriform adenocarcinoma is epigenetically distinct from classical polymorphous adenocarcinoma, which could support risk stratification of these tumors. Myoepithelioma and pleomorphic adenoma form a uniform epigenetic class, supporting the theory of a single entity with a broad but continuous morphologic spectrum. Furthermore, we identified a histomorphologically heterogeneous but epigenetically distinct class that could represent a novel tumor entity. In conclusion, our study provides a comprehensive resource of the DNA methylation landscape of salivary gland tumors. Our data provide novel insight into disputed entities and show the potential of DNA methylation to identify new tumor classes. Furthermore, in future, our machine learning classifier could support the histopathologic diagnosis of salivary gland tumors.
RESUMO
Blockade of the interleukin-6 receptor (IL-6R) is a successful therapeutic strategy in various inflammatory diseases. IL-6 can signal via membrane-bound (classic signaling) and soluble forms (sIL-6R, trans-signaling) of the IL-6R. Trans-signaling is causative for the pro-inflammatory properties of IL-6, and the selective inhibition of this pathway holds the promise to cause less side effects than the global blockade of IL-6 signaling. We have recently shown that the majority of sIL-6R in humans is generated by proteolytic cleavage of the membrane-bound IL-6R, but whether this process is influenced by therapeutic blockade of the IL-6R is unknown. In this study, we show that the monoclonal antibody tocilizumab and a single chain antibody directed against the IL-6R efficiently block IL-6 signaling, but do not prevent the proteolytic generation of sIL-6R.