Mesonephric-like adenocarcinoma of the endometrium : diagnostic advances to spot this wolf in sheep's clothing : a review of the literature

Mesonephric-like adenocarcinoma is a recently described rare neoplasm occurring in the uterine corpus and ovary. This under-recognized subtype of carcinoma can be very challenging to diagnose. In mesonephric adenocarcinoma a variety of growth patterns can be present within the same tumor, as a result of which they can be misinterpreted and diagnosed as low-grade endometrioid adenocarcinoma, clear cell carcinoma, or even serous carcinoma and carcinosarcoma. We report a case of mesonephric-like adenocarcinoma misdiagnosed as a low-grade endometrioid endometrial adenocarcinoma that had an early local recurrence and metastasized to the liver and the lungs. Histopathological, immunohistochemical and molecular analysis were performed and compared to published literature, providing a comprehensive overview of the current knowledge. Databases (Pubmed, Web of Science, Google Scholar) were searched with a combination of the following search terms: mesonephric-like, mesonephric, adenocarcinoma, carcinoma, uterine body, uterine corpus, endometrium. Mesonephric-like adenocarcinoma is a difficult-to-diagnose entity. Advanced diagnostics, including improved morphologic, immunohistochemical and molecular knowledge can help develop new therapeutic strategies against this specific subtype of endometrial cancer with an aggressive clinical behavior

Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information

Complete tumor removal during breast-conserving surgery remains challenging due to the lack of optimal intraoperative margin assessment techniques. Here, we use hyperspectral imaging for tumor detection in fresh breast tissue. We evaluated different wavelength ranges and two classification algorithms; a pixel-wise classification algorithm and a convolutional neural network that combines spectral and spatial information. The highest classification performance was obtained using the full wavelength range (450-1650nm). Adding spatial information mainly improved the differentiation of tissue classes within the malignant and healthy classes. High sensitivity and specificity were accomplished, which offers potential for hyperspectral imaging as a margin assessment technique to improve surgical outcome. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreemen

P53 Expression in Avian Ovarian Follicles

In the present study, we localized p53 protein in the ovary of the adult Japanese quail using immunohistochemical techniques. The best results were obtained with DO-1 monoclonal antibodies and with a heat-induced epitope retrieval method. Immunostaining was detected in cytoplasm and/or nuclei of granulosa and surface epithelial cells. In atretic follicles, p53 protein was found in a few follicular cells. Immunoreactivity was also detected in leukocytes and in the Balbiani complex of prelampbrush oocytes. It is suggested that p53 protein expression is elevated in proliferating granulosa and surface epithelial cells, and that p53 protein may be involved in granulosa cell differentiation

Method for coregistration of optical measurements of breast tissue with histopathology : the importance of accounting for tissue deformations

For the validation of optical diagnostic technologies, experimental results need to be benchmarked against the gold standard. Currently, the gold standard for tissue characterization is assessment of hematoxylin and eosin (H&E)-stained sections by a pathologist. When processing tissue into H&E sections, the shape of the tissue deforms with respect to the initial shape when it was optically measured. We demonstrate the importance of accounting for these tissue deformations when correlating optical measurement with routinely acquired histopathology. We propose a method to register the tissue in the H&E sections to the optical measurements, which corrects for these tissue deformations. We compare the registered H&E sections to H&E sections that were registered with an algorithm that does not account for tissue deformations by evaluating both the shape and the composition of the tissue and using microcomputer tomography data as an independent measure. The proposed method, which did account for tissue deformations, was more accurate than the method that did not account for tissue deformations. These results emphasize the need for a registration method that accounts for tissue deformations, such as the method presented in this study, which can aid in validating optical techniques for clinical use. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License

The effect of pharmacological inhibition of Serine Proteases on neuronal networks in vitro

This work was supported by the European Union\u2019s Framework Programme for Research and Innovation (under the H2020 ETN grant n. 642881 to Stefanie Dedeurwaerdere, Pieter Van Der Veken, and Koen Augustyns; under the Specific Grant Agreement n. 785907 - Human Brain Project to Michele Giugliano; and under FP7 grants n. 286403 and n. 284801 to Michele Giugliano), the European Union\u2019s Research Area Networks (NEURON II to Stefanie Dedeurwaerdere), the Flemish Research Foundation (grants n. G0F1517N and n. K201619N to Michele Giugliano), the University of Antwerp (grant n. BOF-DOCPRO-2016 to Michele Giugliano), and the Scuola Internazionale Superiore di Studi Avanzati (\u2018\u2018Collaborazione di Eccellenza 2018\u2019\u2019 to Michele Giugliano). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Archeologisch vooronderzoek te Aalter - Woestijne (prov. Oost-Vlaanderen)

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Treatment algorithm in patients with ovarian cancer

Most ovarian cancer patients are diagnosed only at advanced stages when survival outcomes are worse, and when therapeutic decisions might prove challenging. The fundamental treatment for women with ovarian cancer includes debulking surgery whenever possible and appropriate systemic therapy (chemotherapy, targeted and antiangiogenic agents). In the last few years, knowledge about histological and molecular characteristics of ovarian cancer subtypes and stages has increased considerably. This has enabled the development and improvement of several options for the diagnosis and treatment of ovarian cancer in a patient-tailored approach. Accordingly, therapeutic decisions are guided by the characteristics of the patient and the tumour, especially the molecular features of the cancer subtype and disease stage. Particularly relevant are the advances in early genetic testing of germline and somatic mutations involved in DNA repair, and the clinical development of targeted agents. In order to implement the best individual medical strategies, in this article, we present an algorithm of treatment options, including recently developed targeted agents, for primary and recurrent ovarian cancer patients in Belgium