Extracellular vesicles (EVs) are a heterogeneous group of cell-derived submicron vesicles released under physiological or pathological conditions. EVs mediate the cellular crosstalk, thus contributing to defining the tumor microenvironment, including in epithelial ovarian cancer (EOC). The available literature investigating the role of EVs in EOC has been reviewed following PRISMA guidelines, focusing on the role of EVs in early disease diagnosis, metastatic spread, and the development of chemoresistance in EOC. Data were identified from searches of Medline, Current Contents, PubMed, and from references in relevant articles from 2010 to 1 April 2020. The research yielded 194 results. Of these, a total of 36 papers, 9 reviews, and 27 original types of research were retained and analyzed. The literature findings demonstrate that a panel of EV-derived circulating miRNAs may be useful for early diagnosis of EOC. Furthermore, it appears clear that EVs are involved in mediating two crucial processes for metastatic and chemoresistance development: the epithelial–mesenchymal transition, and tumor escape from the immune system response. Further studies, more focused on in vivo evidence, are urgently needed to clarify the role of EV assessment in the clinical management of EOC patients.

Madelung’s disease or multiple symmetric lipomatosis (MSL) is a rare disorder of unknown etiology which typically presents symmetrically subcutaneous accumulation of non-encapsulated adipose tissue which slowly grows around the neck, upper part of the arms, pelvis, back and thigh. This disease is also frequently associated with hepatopathy, glucose intolerance, hyperuricemia, and malignant tumors of the upper airways. Nevertheless, only one description of malignant transformation of Madelung’s disease has been presented in literature. Here, we report a case of liposarcomatous transformation of Madelung’s disease in a 59-year-old Italian woman with a coincidental diagnosis of breast cancer. Virtual slide: The virtual slide for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/3480884087499351