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Primary cutaneous anaplastic large cell lymphomas with 6p25.3 rearrangement exhibit particular histological features
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Assessment of Myocardial Infarct Size by Three‐Dimensional and Two‐Dimensional Speckle Tracking Echocardiography: A Comparative Study to Single Photon Emission Computed Tomography
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Dominique Trudel Luminita-Mihaela Avarvarei Michèle Orain Stéphane Turcotte Marie Plante Jean Grégoire Reinhild Kappelhoff David P. Labbé Dimcho Bachvarov Bernard Têtu Christopher M. Overall Isabelle Bairati 《Pathology, research and practice》2019,215(6):152369
Ovarian carcinoma is one of the most lethal malignancies, but only very few prognostic biomarkers are known. The degradome, comprising proteases, protease non-proteolytic homologues and inhibitors, have been involved in the prognosis of many cancer types, including ovarian carcinoma. The prognostic significance of the whole degradome family has not been specifically studied in high-grade serous ovarian cancer. A targeted DNA microarray known as the CLIP-CHIP microarray was used to identify potential prognostic factors in ten high-grade serous ovarian cancer women who had early recurrence (<1.6 years) or late/no recurrence after first line surgery and chemotherapy. In women with early recurrence, we identified seven upregulated genes (TMPRSS4, MASP1/3, SPC18, PSMB1, IGFBP2, CFI – encoding Complement Factor I – and MMP9) and one down-regulated gene (ADAM-10). Using immunohistochemistry, we evaluated the prognostic effect of these 8 candidate genes in an independent cohort of 112 high-grade serous ovarian cancer women. Outcomes were progression, defined according to CA-125 criteria, and death. Multivariate Cox proportional hazard regression models were done to estimate the associations between each protein and each outcome. High ADAM-10 expression (intensity of 2–3) was associated with a lower risk of progression (adjusted hazard ratio (HR): 0.51; 95% confidence interval (CI): 0.29-0.87). High complement factor I expression (intensity 2–3) was associated with a higher risk of progression (adjusted HR: 2.30, 95% CI: 1.17–4.53) and death (adjusted HR: 3.42; 95% CI: 1.72–6.79). Overall, we identified the prognostic value of two proteases, ADAM-10 and complement factor I, for high-grade serous ovarian cancer which could have clinical significance. 相似文献
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《Piel》2019,34(8):464-469
IntroductionTelangiectasia macularis eruptiva perstans (TMEP) is a rare cutaneous mastocytosis, characterised by erythematous and/or brown macula in which telangiectasia are identified. The diagnosis is based on the clinical state of the lesions and on histopathology; however dermoscopy is an important diagnostic tool, revealing a very characteristic reticular vascular pattern.MethodologyA clinical examination, dermatoscopy, photographic follow-up, and histological study were performed on 5 patients with erythematous brown spots on the neck and V of the neckline, and were seen in this Centre between 2008 and 2018. A polarised light dermatoscope was used on lesion and the skin around it. All patients had a 4 mm punch biopsy of the affected skin, and the slices were stained with haematoxylin-eosin and Giemsa.ResultsThe dermatoscopy of the 5 patients showed a retiform vascular pattern with surrounding and crossing yellow spots corresponding to the follicular sebaceous glands, with few hairs. The skin around the lesion did not show any of these changes. In all patients, biopsy with haematoxylin-eosin corroborated the diagnosis of mastocytosis type TMEP. The location of the disease in the 5 patients was in the neck and V of the neckline.ConclusionsDermatoscopy helps in the diagnosis of TMEP by demonstrating that the retiform telangiectatic vascular pattern is a constant finding in all affected patients, and this is supported by the dermoscopic-histological findings. It also makes it possible to differentiate with other erythematous skin disease, and with other disorders that dermatoscopically exhibit retiform patterns. 相似文献
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Evaluation of training nurses to perform semi‐automated three‐dimensional left ventricular ejection fraction using a customised workstation‐based training protocol
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