AIMC Topic: Receptors, Fibroblast Growth Factor

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Functional Characterization of Variants of Unknown Significance of Fibroblast Growth Factor Receptors 1-4 and Comparison With AI Model-Based Prediction.

JCO precision oncology Jun 17, 2025
PURPOSE: Fibroblast growth factor receptors (FGFRs; FGFR1, FGFR2, FGFR3, FGFR4) are frequently mutated oncogenes in solid cancers. The oncogenic potential of FGFR rearrangements and few hotspot point mutations is well established, but the majority of...
Humans Artificial Intelligence Neoplasms Mutation Receptors, Fibroblast Growth Factor
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Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine Jun 10, 2021
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered ...
Humans Neural Networks, Computer Databases, Factual Female Sensitivity and Specificity Male Deep Learning Logistic Models Lymphocytes, Tumor-Infiltrating Urinary Bladder Neoplasms Receptor, Fibroblast Growth Factor, Type 3 Gene Expression Mutation Molecular Targeted Therapy Receptor, Fibroblast Growth Factor, Type 2 Receptors, Fibroblast Growth Factor
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Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Molecular diversity Aug 1, 2025
Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vessels, particularly when cancer is in its early stage. Along with tumor growth in the vicinity of blood vessels, malignant cells require more nutrients; ...
Humans Deep Learning United States Angiogenesis Inhibitors Drug Repositioning United States Food and Drug Administration Drug Approval ErbB Receptors Receptors, Vascular Endothelial Growth Factor Receptors, Fibroblast Growth Factor Angiogenesis
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