Acute myeloid leukemia (AML) is the most common acute leukemia and is predominantly affecting older patients. It is a heterogenous disease, showing a broad spectrum of genomic alterations and mutations that influence the clinical outcome and treatment options. The expression of the signal transducer and activator of transcription 3 (STAT3) is often dysregulated in AML and its constitutive activation is associated with poor outcome. Thus, STAT3 became an attractive therapeutic target but until now drugs targeting STAT3 only had moderate efficacy. This phenomenon might be related to the expression ratio of the two alternatively spliced isoforms: the full-length isoform STAT3α and the truncated version STAT3β, which play opposite roles in AML. In this study, we investigated the potential of selected, well-established drugs to impact the STAT3β/α ratio, as a higher STAT3β/α ratio is associated with better disease outcome. Atovaquone and selinexor independently elevated the STAT3β/α ratio and led to an upregulation of the STAT3β target gene SELL (CD62L). The combined treatment with atovaquone and selinexor entailed synergistic killing of AML cells in vitro and impaired the leukemic cell infiltration in vivo. Moreover, CD62L overexpression in a human AML cell line resulted in significantly prolonged survival in a xenograft mouse model. We propose that targeting the STAT3β/α ratio could be a promising new strategy for treating patients with AML and that the combination of selinexor and atovaquone could offer enhanced treatment outcomes.
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http://dx.doi.org/10.1016/j.canlet.2025.217501 | DOI Listing |
Int J Surg
January 2025
Department of Cardiovascular Surgery, Xijing Hospital, Xi'an, Shaanxi, China.
Background: The impact of aortic arch (AA) morphology on the management of the procedural details and the clinical outcomes of the transfemoral artery (TF)-transcatheter aortic valve replacement (TAVR) has not been evaluated. The goal of this study was to evaluate the AA morphology of patients who had TF-TAVR using an artificial intelligence algorithm and then to evaluate its predictive value for clinical outcomes.
Materials And Methods: A total of 1480 consecutive patients undergoing TF-TAVR using a new-generation transcatheter heart valve at 12 institutes were included in this retrospective study.
Clin Pharmacol Ther
January 2025
Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Clopidogrel, an anti-platelet drug, is used to prevent thrombosis after percutaneous coronary intervention. Clopidogrel resistance results in recurring ischemic events, with African Americans (AA) suffering disproportionately. The aim of this study was to discover novel biomarkers of clopidogrel resistance in African Americans using genome and transcriptome data.
View Article and Find Full Text PDFAddiction
January 2025
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Background And Aims: Primary care systems often screen for unhealthy alcohol use with brief self-report tools such as the 3-item Alcohol Use Disorders Identification Test for consumption (AUDIT-C). There is little research examining whether change in alcohol use measured on the AUDIT-C captures meaningful change in outcomes affected by alcohol use. This study aimed to measure the association between change in AUDIT-C and change in all-cause hospitalization risk, measured in the year after each AUDIT-C.
View Article and Find Full Text PDFPlant J
January 2025
Unit of Aromatic and Medicinal Plants, Newe Ya'ar Research Center, Volcani Institute, Ramat-Yishay, Israel.
Basil, Ocimum basilicum L., is a widely cultivated aromatic herb, prized for its culinary and medicinal uses, predominantly owing to its unique aroma, primarily determined by eugenol for Genovese cultivars or methyl chavicol for Thai cultivars. To date, a comprehensive basil reference genome has been lacking, with only a fragmented draft available.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Background: Survival after an Alzheimer's disease (AD) diagnosis is vital for patients, their families, caregivers, and healthcare providers. Hawaii, known for its diverse ethnic population, exhibits significant racial health disparities.
Objective: This study examined racial/ethnic and socioeconomic disparities in AD survival in Hawaii and developed machine learning models to predict overall survival using Hawaii Medicare data.
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