Epstein-Barr virus-associated smooth muscle tumors in immunocompromised patients: Six case reports

BACKGROUNDEpstein-Barr virus associated smooth muscle tumor (EBV-SMT) is a rare oncological entity. However, there is an increasing incidence of EBV-SMTs, as the frequency of organ transplantation and immunosuppression grows. EBV-SMT diagnosis relies on histopathology and immunochemical staining to distinguish it from post-transplant lymphoproliferative disorder (PTLD). There is no clear consensus on the treatment of EBV-SMTs. However, surgical resection, chemotherapy, radiation therapy, and immunosuppression reduction have been explored with varying degrees of success. CASE SUMMARYOur case series includes six cases of EBV-SMTs across different age groups, with different treatment modalities, adding to the limited existing literature on this rare tumor. The median latency time between immunosuppression and disease diagnosis is four years. EBV-SMTs present with variable degrees of aggressiveness and seem to have worse clinical outcomes in patients with tumor multiplicity and worse immunocompetency.CONCLUSIONIt is imperative to continue building on this knowledge and keeping EBV-SMTs on the differential in immunocompromised individuals.     

Vascular endothelial growth factor expression correlates with serum CA125 and represents a useful tool in prediction of refractoriness to platinum-based chemotherapy and ascites formation in epithelial ovarian cancer

There is an increasing need for the identification of novel biological markers and potential therapeutic targets in epithelial ovarian cancer (EOC). Given the critical role of growth factors in the biology of EOC, we aimed in the present study to evaluate the intratumoral expressions of vascular endothelial growth factor (VEGF) and fibroblast growth factor (FGF) proteins and their clinical relevance in a cohort of 100 patients with EOC. All patients received platinum-based chemotherapy after surgery. A comparative immunohistochemical study of normal ovarian and EOC tissues showed that both growth factors were expressed at higher levels in tumor samples. In our statistical analysis, while no association existed between the FGF expression status and the clinicopathological characteristics of patients, intratumoral VEGF was identified as a potential biomarker for the prediction of ascites formation. In addition, the expression status of VEGF appeared to independently predict overall survival and response to chemotherapy. Furthermore, a direct association was demonstrated between the pre-treatment VEGF expression and serum CA125 after three cycles of chemotherapy. In sum, we report for the first time to our knowledge the correlation between intratumoral VEGF and serum CA125 in EOC. Our data also shows the prognostic value of VEGF expression in EOC. These results suggest the potential value of intratumoral VEGF in patient stratification. Dual inhibition of VEGF and CA125 might bring about a better outcome for patients with EOC.     

Modeling the growth of Salmonella typhimurium under the effect of Zataria multiflora essential oil, pH, and temperature by artificial neural networks

Salmonella is the most important cause of bacterial food-borne disease outbreaks in the world. In this study, we have trained and validated artificial neural networks (ANNs) to predict the combined effect of Zataria multiflora essential oil (EO), pH, and temperature on the probability percentage of growth initiation (log P%) of Salmonella. Z. multiflora was collected in the Fars province of Iran. Lyophilized cultures of Salmonella typhimurium ATCC 25923 was used in this study. This design included four levels of EO (0.0, 0.015, 0.03, and 0.06%), three levels of pH (5.5,6, and 7.3), three storage temperatures (35, 25, and 15°C), and repeated observations (18 times) for growth in brain heart infusion broth for up to 43 days. We have designed a standard and the so-called feed-forward ANN, including four input neurons, eight neuron in hidden layer, and one output neuron to predict the combined effect of Z. multiflora EO, pH, and temperature on the probability percentage of growth initiation (log P%) of S.typhimurium. The mean and standard deviation of ANN and real outputs were −2.9771 ± 2.43 and −2.9722 ± 2.39, respectively. The mean differences (and 95% CIs) between the ANN and real outputs were 0.0049 (0.0009–0.0089). Result showed better prediction compare to the previous study(R = 0.998).