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An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study.
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu City, Sichuan Province, 610041, China.
Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.
Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.
Evaluation of the role of circular RNA (circ-FAF1) as a diagnostic biomarker for breast cancer in a cohort of Egyptian breast cancer patients.
Mol Biol Rep
January 2025
Department of Clinical Pathology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Background: The identification of circulating potential biomarkers may help earlier diagnosis of breast cancer, which is critical for effective treatment and better disease outcomes. We aimed to study the role of circ-FAF1 as a diagnostic biomarker in female breast cancer using peripheral blood samples of these patients, and to investigate the relation between circ-FAF1 and different clinicopathological features of the included patients.
Methods And Results: This case-control study enrolled 60 female breast cancer patients and 60 age-matched healthy control subjects.
Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics.
Nat Cancer
January 2025
Dept. of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.
The diagnostic landscape of brain tumors integrates comprehensive molecular markers alongside traditional histopathological evaluation. DNA methylation and next-generation sequencing (NGS) have become a cornerstone in central nervous system (CNS) tumor classification. A limiting requirement for NGS and methylation profiling is sufficient DNA quality and quantity, which restrict its feasibility.
View Article and Find Full Text PDFA novel application perspective of the clinical-used drug verapamil on osteoporosis via targeting .
J Orthop Translat
January 2025
Shanghai Key Laboratory of Orthopedic Implants, Department of Orthopedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Background: RANKL and SCLEROSTIN antibodies have provided a strong effective choice for treating osteoporosis in the past years, which suggested novel molecular target identification and therapeutic strategies development are important for the treatment of osteoporosis. The therapeutic effect of verapamil, a drug previously used for cardiovascular diseases, on diabetes was due to the inhibition of TXNIP expression, which has also been reported as a target in mice osteoporosis. Whether verapamil-inhibited TXNIP expression is related to osteoporosis and how it works on the molecular level is worthy to be explored.
View Article and Find Full Text PDFModeling Sporadic Progressive Supranuclear Palsy in 3D Midbrain Organoids: Recapitulating Disease Features for In Vitro Diagnosis and Drug Discovery.
Ann Neurol
January 2025
Neuroscience Research Center, Department of Medical and Surgical Sciences, University "Magna Graecia", Catanzaro, Italy.
Objective: Progressive Supranuclear Palsy (PSP) is a severe neurodegenerative disease characterized by tangles of hyperphosphorylated tau protein and tufted astrocytes. Developing treatments for PSP is challenging due to the lack of disease models reproducing its key pathological features. This study aimed to model sporadic PSP-Richardson's syndrome (PSP-RS) using multi-donor midbrain organoids (MOs).
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