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Aims: Angiofibroma of soft tissue (AFST) is a benign tumour characterised by prominent arborizing blood vessels throughout the lesion. Approximately two-thirds of AFST cases were reported to have AHRR::NCOA2 fusion, and only two cases have been reported to have other gene fusions: GTF2I::NCOA2 or GAB1::ABL1. Although AFST is included in fibroblastic and myofibroblastic tumours in the World Health Organization's 2020 classification, histiocytic markers, especially CD163, have been reported to be positive in almost all examined cases, and it still remains the possibility of a fibrohistiocytic nature of the tumour. Therefore, we aimed to clarify the genetic and pathological spectrum of AFST and identify whether histiocytic marker-positive cells were true neoplastic cells.
Methods And Results: We evaluated 12 AFST cases, which included 10 cases with AHRR::NCOA2 and two with AHRR::NCOA3 fusions. Pathologically, nuclear palisading, which has not been reported in AFST, was detected in two cases. Furthermore, one tumour resected by additional wide resection revealed severe infiltrative growth. Immunohistochemical analysis indicated varying levels of desmin-positive cells in nine cases, whereas CD163- and CD68-positive cells were diffusely distributed in all 12 cases. We also performed double immunofluorescence staining and immunofluorescence in situ hybridisation in four resected cases with >10% desmin-positive tumour cells. The results suggested that the CD163-positive cells differed from desmin-positive cells with AHRR::NCOA2 fusion in all four cases.
Conclusion: Our findings suggested that AHRR::NCOA3 could be the second most frequent fusion gene, and histiocytic marker-positive cells are not genuine neoplastic cells in AFST.
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http://dx.doi.org/10.1111/his.14899 | DOI Listing |
J Cardiovasc Surg (Torino)
September 2025
Catheterization Laboratory, Montevergine Clinic, Mercogliano, Avellino, Italy -
Background: Lower extremity arterial disease is a prevalent vascular condition leading to ischemic symptoms and increased risk of cardiovascular events. Drug-eluting stents have improved outcomes by reducing restenosis, with sirolimus emerging as a promising alternative to paclitaxel due to its safer profile. This study evaluates the efficacy and safety of novel polymer-free Amphilimus formulation (Sirolimus + fatty acid) eluting self-expanding stent in the treatment of femoropopliteal disease in a real-world population.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Division of Cardiology, Duke University Hospital, Durham, North Carolina.
Importance: Previous data suggest that the time changes associated with daylight savings time (DST) may be associated with an increased incidence of acute myocardial infarction (AMI).
Objective: To determine whether the incidence of patients presenting with AMI is greater during the weeks during or after DST and compare the in-hospital clinical events between the week before DST and after DST.
Design, Setting, And Participants: This cross-sectional study examined patients enrolled in the Chest Pain MI Registry from 2013 to 2022.
Chaos
September 2025
Indian Institute of Science Education and Research, Tirupati, Andhra Pradesh 517507, India.
Adaptation in complex systems implies a natural ability to change. In networks, adaptation may include a change in structural connectivity, which can lead to a change in collective behavior. When dihedral symmetry is present, i.
View Article and Find Full Text PDFBrief Bioinform
August 2025
School of Computer Science, Xi'an Polytechnic University, 710048, Xi'an, China.
Cancer, with its inherent heterogeneity, is commonly categorized into distinct subtypes based on unique traits, cellular origins, and molecular markers specific to each type. However, current studies primarily rely on complete multi-omics datasets for predicting cancer subtypes, often overlooking predictive performance in cases where some omics data may be missing and neglecting implicit relationships across multiple layers of omics data integration. This paper introduces Multi-Layer Matrix Factorization (MLMF), a novel approach for cancer subtyping that employs multi-omics data clustering.
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