Publications by authors named "I G Kyprianou"

Article Synopsis
  • CD8+ T cells play a vital role in fighting cancer, but their functionality is compromised in higher-risk myelodysplastic neoplasms (HR-MDS) and acute myeloid leukemia (AML).
  • An analysis of 104 pre-treatment bone marrow samples revealed that patients who did not respond to azacitidine therapy had higher levels of a specific CD8+ T cell subset (CD57+CXCR3+), which was linked to worse survival outcomes.
  • The study also highlighted that successful treatment responses were associated with stronger IFN signaling, while non-responders showed increased TGF-β signaling, suggesting that combining TGF-β inhibitors with azacitidine could improve treatment in these cancer types.
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Background: Cardiac injury (CI) is not a rare condition among hospitalized patients with coronavirus disease 2019 (COVID-19). Its prognostic value has been extensively reported through the literature, mainly in the context of observational studies. An impressive number of relevant meta-analyses has been conducted.

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Background: Venous Thromboembolism (VTE) is common among patients with severe Coronavirus Disease 2019 (COVID-19). Anticoagulation in hospitalized COVID-19 patients has been associated with survival benefit; however, the optimal thromboprophylaxis strategy has not yet been defined.

Objective: To identify published guidance reports by national and international societies regarding thromboprophylaxis strategies in COVID-19 patients in different settings (outpatients, hospitalized, post-discharge).

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Coronavirus disease 2019 (COVID-19) does not only affect the respiratory system but appears to be a systemic disease. Venous thromboembolism is a common manifestation in hospitalized patients with COVID-19 with a reported incidence that is significantly higher compared to other acute viral infections. The pathophysiology mechanisms have not been fully explored and autopsy studies might enhance our understanding on this topic.

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The use of Monte Carlo simulations in diagnostic medical imaging research is widespread due to its flexibility and ability to estimate quantities that are challenging to measure empirically. However, any new Monte Carlo simulation code needs to be validated before it can be used reliably. The type and degree of validation required depends on the goals of the research project, but, typically, such validation involves either comparison of simulation results to physical measurements or to previously published results obtained with established Monte Carlo codes.

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