AIMC Topic: Anaplastic Lymphoma Kinase

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Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping.

Journal of biomedical informatics Mar 21, 2025
OBJECTIVE: To illustrate the use of an ontology in evaluating data quality in the medical field, focusing on phenotyping lung cancers.
Mutation Data Accuracy Phenotype Lung Neoplasms Humans Protein Kinase Inhibitors Data Warehousing Anaplastic Lymphoma Kinase Biological Ontologies ErbB Receptors
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Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 3, 2022
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key players in non-small cell lung cancer (NSCLC). Although their frequency is relatively low, their detection is important for patient care and guides thera...
Humans Carcinoma, Non-Small-Cell Lung Protein-Tyrosine Kinases Deep Learning Lung Neoplasms Anaplastic Lymphoma Kinase Gene Rearrangement Oncogene Proteins, Fusion Eosine Yellowish-(YS) In Situ Hybridization, Fluorescence Hematoxylin Proto-Oncogene Proteins
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The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer patients.

European journal of nuclear medicine and molecular imaging Aug 13, 2020
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography (CT) images and clinicopathological information for predicting anaplastic lymphoma kinase (ALK) fusion status in non-small cell lung cancer (NSCLC) p...
Protein Kinase Inhibitors Anaplastic Lymphoma Kinase Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Tomography, X-Ray Computed Deep Learning Retrospective Studies
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Design and molecular mechanism investigation of ALK inhibitors based on virtual screening and structural descriptor modeling.

Journal of receptor and signal transduction research Jun 1, 2025
To address the challenges of target specificity and drug resistance in Anaplastic lymphoma kinase (ALK) inhibition, this study conducted a virtual screening of the BindingDB database, yielding 711 potential ALK inhibitors. Four QSAR models were estab...
Molecular Dynamics Simulation Drug Design Protein Kinase Inhibitors Humans Quantitative Structure-Activity Relationship Protein Binding Anaplastic Lymphoma Kinase Molecular Docking Simulation
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Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.

Proceedings of the National Academy of Sciences of the United States of America Mar 9, 2021
Kinases play important roles in diverse cellular processes, including signaling, differentiation, proliferation, and metabolism. They are frequently mutated in cancer and are the targets of a large number of specific inhibitors. Surveys of cancer gen...
Anaplastic Lymphoma Kinase Enzyme Activation Protein Conformation, alpha-Helical Humans Machine Learning Mutation Molecular Dynamics Simulation
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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Algorithms Natural Language Processing Adult Reproducibility of Results Mutation Female Male Humans Aged Registries Carcinoma, Non-Small-Cell Lung Anaplastic Lymphoma Kinase Kentucky SEER Program Middle Aged Genetic Testing Machine Learning Population Surveillance ErbB Receptors DNA Mutational Analysis Lung Neoplasms
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