FLT3 mutations are among the most common genetic alterations in acute myeloid leukemia (AML) and are associated with poor prognosis. Significant advancements have been made in developing FLT3 inhibitors (FLT3Is), such as quizartinib, which have improved treatment outcomes in both newly diagnosed and relapsed/refractory AML. Resistance to FLT3Is remains a major clinical challenge, driven by diverse mechanisms including FLT3 point mutations, cellular escape pathways, and the influence of the bone marrow microenvironment.
View Article and Find Full Text PDFPurpose: To measure the displacement of retinal vascular plexi and choriocapillaris after Pars Plana Vitrectomy (PPV) for idiopathic Macular Hole (MH), using Optical Coherence Tomography Angiography (OCTA) and correlate it with clinical data.
Methods: Retrospective series with 6-month follow-up. Records included best-corrected visual acuity (BCVA), M-charts, structural OCT and OCTA.
Background: Hyalocytes are the main vitreal cell types with critical functions in health and vitreoretinal diseases. Our aim was to develop cultures of human hyalocytes and verify the retention of their initial cellular features after 3 and 6 days of culturing (3 d and 6 d) by analyzing and comparing a few morphological and functional parameters.
Methods: Vitreous samples (n = 22) were collected and vitreous cells and bead-enriched hyalocytes were developed and compared (3 d vs.
Unlabelled: AIM OF THE STUDY: This systematic review aims to evaluate the efficacy, safety, and comparative outcomes of endovascular treatments for acute lower limb deep vein thrombosis (DVT), including catheter-directed thrombolysis (CDT), pharmacomechanical thrombectomy (PMT), mechanical thrombectomy, and venous stenting, drawing insights from a diverse range of studies.
Materials And Methods: A comprehensive literature search identified 33 relevant studies, including randomized controlled trials, cohort studies, systematic reviews, and case reports. Data extraction focused on study design, intervention type, outcome measures, and follow-up duration.
The study explored endocrine resistance by leveraging machine learning to establish the prognostic stratification of predicted Circulating tumor cells (CTCs), assessing its integration with circulating tumor DNA (ctDNA) features and contextually evaluate the potential of CTCs-based transcriptomics. 1118 patients with a diagnosis of luminal-like Metastatic Breast Cancer (MBC) were characterized for ctDNA through NGS before treatment start, predicted CTCs were computed through a K nearest neighbor algorithm. Differences across subgroups were analyzed through chi square or Fisher's exact test according to sample size and corrected for False Discovery Rate.
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