AIMC Topic: Tyrosine Kinase Inhibitors

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Neddylation status determines the therapeutic sensitivity of tyrosine kinase inhibitors in chronic myeloid leukemia.

Scientific reports May 30, 2025
BCR::ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leukemia (CML) over the past decades. In this study, we reported an unexpected role of neddylation inhibitors in desensitizing the therapeutic efficacy of...
Protein Processing, Post-Translational Drug Resistance, Neoplasm Cell Line, Tumor Mice Leukemia, Myelogenous, Chronic, BCR-ABL Positive Tyrosine Kinase Inhibitors NEDD8 Protein Protein Kinase Inhibitors Fusion Proteins, bcr-abl Humans Animals
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A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.

The Journal of pathology Feb 14, 2025
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predict response to tyrosine kinase inhibitor (TKI) therapies, as recommended by NCCN (National Comprehensive Cancer Network) guidelines. However, gene seq...
Treatment Outcome Mutation Middle Aged Deep Learning Imatinib Mesylate Pyrazoles Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Humans Female Aged Male Tyrosine Kinase Inhibitors Triazines Receptor, Platelet-Derived Growth Factor alpha Proto-Oncogene Proteins c-kit Protein Kinase Inhibitors Pyrroles
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors.

BMC gastroenterology Jan 21, 2025
OBJECTIVE: To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarteri...
Protein Kinase Inhibitors Tyrosine Kinase Inhibitors Combined Modality Therapy Chemoembolization, Therapeutic Retrospective Studies Tomography, X-Ray Computed Female Aged Deep Learning Humans Male Liver Neoplasms Prognosis Adult Immune Checkpoint Inhibitors Middle Aged Radiomics Carcinoma, Hepatocellular Antineoplastic Combined Chemotherapy Protocols
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Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

Molecular diversity Jul 21, 2023
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton's tyrosine kinase (BTK) and to provide interpretable and transparent explanations for these predictions. T...
Agammaglobulinaemia Tyrosine Kinase Tyrosine Kinase Inhibitors Humans Neural Networks, Computer Support Vector Machine Machine Learning Protein Kinase Inhibitors Algorithms
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A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society Jan 20, 2023
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with...
Protein Kinase Inhibitors Mutation Tyrosine Kinase Inhibitors Progression-Free Survival Lung Neoplasms Disease-Free Survival Humans Carcinoma, Non-Small-Cell Lung ErbB Receptors Deep Learning
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