3 research outputs found

    Morphopathological features induced by SARS-CoV-2 infection - a series of 57 autopsies

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    Background. COVID-19 is a systemic disease with multiorgan damage, which requires a better understanding and deepening of histopathogenesis in order to improve treatment. Autopsy remains a gold standard to establish certain diagnoses and to integrate the morphological spectrum of lung lesions, explaining the cause of death, into a clinical context. Methods and Results. The study included 57 autopsies performed during 2020-2021 associated with SARS-CoV-2 infection. Among the autopsies we performed, diffuse alveolar damage (DAD) was the most common pulmonary morphological change, 31.8% of them with acute or exudative phase and 33.3% with proliferative phase of DAD. Acute fibrous organizing pneumonia or organizing pneumonia with fibrous remodeling processes and pulmonary fibrosis were rarely observed. The most unfavorable outcome and death associated with SARS-CoV-2 infection was frequent in older men, with a high rate of comorbidities. Microscopically, SARS-CoV-2 presents many common aspects with MERS-CoV and SARS-CoV-1, such as alveolar hyaline membrane, desquamated alveolar cells, alveolar edema and alveolar and interstitial lymphocyte and monocytes infiltration. Conclusions. Our study includes a large number of autopsies on patients with SARS-CoV-2 infection performed in Romania. COVID 19 associated pneumonia combines classical aspects of alveolar and interstitial pneumonia with some peculiarities. Autopsies are of major importance in understanding SARS-CoV-2 infectio

    Implications of Cellular Immaturity in Necrosis and Microvascularization in Glioblastomas IDH-Wild-Type

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    Necrosis and increased microvascular density in glioblastoma IDH-wild-type are the consequence of both hypoxia and cellular immaturity. Our study aimed to identify the main clinical-imaging and morphogenetic risk factors associated with tumor necrosis and microvascular in the prognosis of patient survival. We performed a retrospective study (10 years) in which we identified 39 cases. We used IDH1, Ki-67 and Nestin immunomarkers, as well as CDKN2A by FISH. The data were analyzed using SPSS Statistics. The clinical characterization identified only age over 50 years as a risk factor (HR = 3.127). The presence of the tumor residue, as well as the absence of any therapeutic element from the trimodal treatment, were predictive factors of mortality (HR = 1.024, respectively HR = 7.460). Cellular immaturity quantified by Nestin was associated with reduced overall survival (p = 0.007). Increased microvascular density was associated with an increased proliferative index (p = 0.009) as well as alterations of the CDKN2A gene (p p p = 0.017). The main risk factors involved in the unfavorable prognosis are moderate and increased Nestin immunointensity, as well as the association of increased microvascular density with age over 50 years. Necrosis was not a risk factor

    PD-L1, CD4+, and CD8+ Tumor-Infiltrating Lymphocytes (TILs) Expression Profiles in Melanoma Tumor Microenvironment Cells

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    (1) Background: Because melanoma is an aggressive tumor with an unfavorable prognosis, we aimed to characterize the PD-L1 expression in melanomas in association with T cell infiltrates because PD-1/PD-L1 blockade represents the target in treating melanoma strategy. (2) Methods: The immunohistochemical manual quantitative methods of PD-L1, CD4, and CD8 TILs were performed in melanoma tumor microenvironment cells. (3) Results: Most of the PD-L1 positive, expressing tumors, have a moderate score of CD4+ TILs and CD8+TILs (5−50% of tumor area) in tumoral melanoma environment cells. The PD-L1 expression in TILs was correlated with different degrees of lymphocytic infiltration described by the Clark system (X2 = 8.383, p = 0.020). PD-L1 expression was observed often in melanoma cases, with more than 2−4 mm of Breslow tumor thickness being the associated parameters (X2 = 9.933, p = 0.014). (4) Conclusions: PD-L1 expression represents a predictive biomarker with very good accuracy for discriminating the presence or absence of malign tumoral melanoma cells. PD-L1 expression was an independent predictor of good prognosis in patients with melanomas
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