87 research outputs found

    The impact of interest rate corridor on monetary policy efficiency: VEC Granger causality evidence from the central bank of the Republic of Turkey

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    This paper aimed to analyze the impacts of interest rate corridor policy on monetary efficiency in Turkey, applying the Error Correction Model and VEC Granger causality. The data set consisted of 108 observations for each time series from May 2010 to December 2019. The Granger causality test results indicated a significant impact of the borrowing rate on the inflation rate. Response function revealed that a change in the borrowing interest rate affected the opposite way in the inflation rate with a 3-month lag. An increase in the lending rate caused an increase in the BIST 100 index value. It is concluded that the interest rate corridor implementation successfully increased the flexibility and effectiveness of the monetary policy in Turkey. © 2021 The Authors

    Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma – analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM

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    Background PD-1-based immune checkpoint inhibition (ICI) is the major backbone of current melanoma therapy. Tumor PD-L1 expression represents one of few biomarkers predicting ICI therapy outcome. The objective of the present study was to systematically investigate whether the type of tumor tissue examined for PD-L1 expression has an impact on the correlation with ICI therapy outcome. Methods Pre-treatment tumor tissue was collected within the prospective DeCOG cohort study ADOREG/TRIM (CA209-578; NCT05750511) between February 2014 and May 2020 from 448 consecutive patients who received PD-1-based ICI for non-resectable metastatic melanoma. The primary study endpoint was best overall response (BOR), secondary endpoints were progression-free (PFS) and overall survival (OS). All endpoints were correlated with tumor PD-L1 expression (quantified with clone 28–8; cutoff ≥5%) and stratified by tissue type. Findings Tumor PD-L1 was determined in 95 primary tumors (PT; 36.8% positivity), 153 skin/subcutaneous (34.0% positivity), 115 lymph node (LN; 50.4% positivity), and 85 organ (40.8% positivity) metastases. Tumor PD-L1 correlated with BOR if determined in LN (OR = 0.319; 95% CI = 0.138–0.762; P = 0.010), but not in skin/subcutaneous metastases (OR = 0.656; 95% CI = 0.311–1.341; P = 0.26). PD-L1 positivity determined on LN metastases was associated with favorable survival (PFS, HR = 0.490; 95% CI = 0.310–0.775; P = 0.002; OS, HR = 0.519; 95% CI = 0.307–0.880; P = 0.014). PD-L1 positivity determined in PT (PFS, HR = 0.757; 95% CI = 0.467–1.226; P = 0.27; OS; HR = 0.528; 95% CI = 0.305–0.913; P = 0.032) was correlated with survival to a lesser extent. No relevant survival differences were detected by PD-L1 determined in skin/subcutaneous metastases (PFS, HR = 0.825; 95% CI = 0.555–1.226; P = 0.35; OS, HR = 1.083; 95% CI = 0.698–1.681; P = 0.72). Interpretation For PD-1-based immunotherapy in melanoma, tumor PD-L1 determined in LN metastases was stronger correlated with therapy outcome than that assessed in PT or organ metastases. PD-L1 determined in skin/subcutaneous metastases showed no outcome correlation and therefore should be used with caution for clinical decision making. Funding Bristol-Myers Squibb (ADOREG/TRIM, NCT05750511); German Research Foundation (DFG; Clinician Scientist Program UMEA); Else Kröner-Fresenius-Stiftung (EKFS; Medical Scientist Academy UMESciA)

    Melanoma Models for the Next Generation of Therapies

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    There is a lack of appropriate melanoma models that can be used to evaluate the efficacy of novel therapeutic modalities. Here, we discuss the current state of the art of melanoma models including genetically engineered mouse, patient-derived xenograft, zebrafish, and ex vivo and in vitro models. We also identify five major challenges that can be addressed using such models, including metastasis and tumor dormancy, drug resistance, the melanoma immune response, and the impact of aging and environmental exposures on melanoma progression and drug resistance. Additionally, we discuss the opportunity for building models for rare subtypes of melanomas, which represent an unmet critical need. Finally, we identify key recommendations for melanoma models that may improve accuracy of preclinical testing and predict efficacy in clinical trials, to help usher in the next generation of melanoma therapies

    Oxidative Stress in Cancer

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    Contingent upon concentration, reactive oxygen species (ROS) influence cancer evolution in apparently contradictory ways, either initiating/stimulating tumorigenesis and supporting transformation/proliferation of cancer cells or causing cell death. To accommodate high ROS levels, tumor cells modify sulfur-based metabolism, NADPH generation, and the activity of antioxidant transcription factors. During initiation, genetic changes enable cell survival under high ROS levels by activating antioxidant transcription factors or increasing NADPH via the pentose phosphate pathway (PPP). During progression and metastasis, tumor cells adapt to oxidative stress by increasing NADPH in various ways, including activation of AMPK, the PPP, and reductive glutamine and folate metabolism

    Método híbrido para categorización de texto basado en aprendizaje y reglas

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    En este artículo se presenta un nuevo método híbrido de categorización automática de texto, que combina un algoritmo de aprendizaje computacional, que permite construir un modelo base de clasificación sin mucho esfuerzo a partir de un corpus etiquetado, con un sistema basado en reglas en cascada que se emplea para filtrar y reordenar los resultados de dicho modelo base. El modelo puede afinarse añadiendo reglas específicas para aquellas categorías difíciles que no se han entrenado de forma satisfactoria. Se describe una implementación realizada mediante el algoritmo kNN y un lenguaje básico de reglas basado en listas de términos que aparecen en el texto a clasificar. El sistema se ha evaluado en diferentes escenarios incluyendo el corpus de noticias Reuters-21578 para comparación con otros enfoques, y los modelos IPTC y EUROVOC. Los resultados demuestran que el sistema obtiene una precisión y cobertura comparables con las de los mejores métodos del estado del arte

    Influences of Propofol-Remifentanil and Propofol-Epidural Anesthesia Combination on Dynamic Respiratory Tests in Laparoscopic Morbid Obesity Surgery

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    Objectives: Morbid obesity (MO) is an important risk factor for respiratory diseases. The aim of this study changes are observed between the preoperative and postoperative pulmonary functions of morbid obese patients undergoing laparoscopic sleeve gastrectomy with propofol-remifentanil infusion anesthesia(TIPA) and propofol-epidural anesthesia(EDIPA) under BIS control. Methods: A total of 52 patients who were to undergo sleeve gastrectomy for MO were divided into two groups for this prospective randomized double-blind study. Propofol infusion was administered to both groups (initial dose 10 mg kg hour); the bispectral index (BIS) was maintained between 40-50 for the maintenance dose, and the hemodynamic parameters were considered. Remifentanil was administered at a dose of 25 ughour via TCA (target controlled analgesia) pump in Group P. In Group E, additionally, 0.0125% bupivacaine was administered with the TCA device at a dose of 8 ml/hour via the epidural route. PFT was performed 4 hours preoperatively and at the 4th hour beginning from the time when the postoperative modified Aldrete scores (MAS) were 9. Results: MAS time and the amount of propofol used were found to be significantly lower in postoperative period in Group E. FEV1 and FVC were found to be significantly higher in the postoperative period in Group E. Conclusion: PFT is better in the early postoperative period in cases whom epidural anesthesia is administered
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