Publications by authors named "J Navratil"

Background And Objective: Apalutamide (APA) is a treatment for metastatic castration-sensitive prostate cancer (mCSPC). In the ARON-3 study we investigated real-world experiences with APA treatment for mCSPC.

Methods: We retrospectively assessed real-world clinical outcomes for patients with mCSPC treated with APA in the ARON-3 study.

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  • The study aimed to explore the presence of potentially harmful Babesia species in ticks and the blood of dogs and deer across different regions of the Czech Republic, comparing their prevalence with other tick-borne pathogens like Borrelia and Anaplasma.
  • From 2014 to 2016, researchers analyzed 675 Ixodes ricinus ticks and blood samples from dogs and deer, finding low positivity rates for Babesia spp., with identified species including Babesia venatorum and Babesia microti, both of which can affect humans.
  • The prevalence rates of Babesia in ticks were found to be lower than that of Borrelia spp. (29.3%) and comparable to Rickettsia spp. (1.
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Induction of autophagy represents an effective survival strategy for nutrient-deprived or stressed cancer cells. Autophagy contributes to the modulation of communication within the tumor microenvironment. Here, we conducted a study of the metabolic and signaling implications associated with autophagy induced by glutamine (Gln) and serum starvation and PI3K/mTOR inhibitor and autophagy inducer NVP-BEZ235 (BEZ) in the head and neck squamous cell carcinoma (HNSCC) cell line FaDu.

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The failure of intracellular zinc accumulation is a key process in prostate carcinogenesis. Although prostate cancer cells can accumulate zinc after long-term exposure, chronic zinc oversupply may accelerate prostate carcinogenesis or chemoresistance. Because cancer progression is associated with energetically demanding cytoskeletal rearrangements, we investigated the effect of long-term zinc presence on biophysical parameters, ATP production, and EMT characteristics of two prostate cancer cell lines (PC-3, 22Rv1).

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  • The text discusses the importance of annotating multiple brain regions in mouse models for neuroscience research and highlights the limitations of manual annotation by trained pathologists, which slows down the overall process.
  • It introduces AnNoBrainer, an open-source software tool that uses deep learning and other advanced techniques to automate brain region annotation on pathology slides, aiming to improve efficiency.
  • AnNoBrainer has shown to be accurate and reproducible, cutting annotation time by about 50%, and meets expert standards, thereby facilitating faster image analysis in neuroscience labs.
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