AIMC Topic: Cyclin-Dependent Kinase Inhibitor p16
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Prognosis of p16 and Human Papillomavirus Discordant Oropharyngeal Cancers and the Exploration of Using Natural Language Processing to Analyze Free-Text Pathology Reports.
JCO clinical cancer informatics
Feb 18, 2025
PURPOSE: Treatment deintensification for human papillomavirus-positive (HPV+)-associated oropharyngeal cancer (OPC) has been the catalyst of experts worldwide. In situ hybridization is optimal to identify HPV+ OPC, but immunohistochemistry for its su...
Opioid growth factor receptor overexpression exerts anti-hepatocellular carcinoma effects by activating P16 and P21 to inhibit proliferation and migration of HepG2 cells.
Folia histochemica et cytobiologica
Jan 13, 2025
INTRODUCTION: Hepatocellular carcinoma (HCC) is the sixth most common type of cancer and the second leading cause of cancer death worldwide [19]. Opioid growth factor (OGF) has been shown to exhibit antitumour potential, binding to OGF receptor (OGFr...
Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI.
Journal of magnetic resonance imaging : JMRI
Aug 9, 2023
BACKGROUND: Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has been verified as an independent and critical biomarker of negative prognosis and short survival in isocitrate dehydrogenase (IDH)-mutant astrocytoma. Therefore, non...
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.
European radiology
Aug 8, 2023
OBJECTIVES: To develop a high-accuracy MRI-based deep learning method for predicting cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion status in isocitrate dehydrogenase (IDH)-mutant astrocytoma.
Editorial for "Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI".
Journal of magnetic resonance imaging : JMRI
Jun 12, 2023
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.
Scientific reports
Jul 16, 2020
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care-resection and chemoradiation-is limited in part due to the genetic heterogeneity of glioblastoma. Previous studies have i...
Male
Magnetic Resonance Imaging
Cyclin-Dependent Kinase Inhibitor p16
Decision Trees
Glioblastoma
Gene Expression
Mutation
Aneuploidy
Female
Sensitivity and Specificity
Biomarkers, Tumor
Brain Neoplasms
Humans
Image Interpretation, Computer-Assisted
Isocitrate Dehydrogenase
Artificial Intelligence
Preoperative Care
Retrospective Studies
Chromosomes, Human, Pair 10
Chromosomes, Human, Pair 7
X-linked Nuclear Protein
Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.
The journal of physical chemistry letters
Jul 22, 2019
It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's largest traditional Chinese medicine database was applied to screen for structure-based drug design and ligand-based drug design. To predict drug activity, ...
Matrix Metalloproteinase 13
Deep Learning
Cyclin-Dependent Kinase Inhibitor p16
Proteins
Databases, Protein
Algorithms
Peptides
Drug Design
Antineoplastic Agents
Tumor Suppressor Protein p53
Models, Molecular
Binding Sites
Mutation
Machine Learning
Proto-Oncogene Proteins c-mdm2
Ligands
Cyclin-Dependent Kinase 6
Proto-Oncogene Proteins c-bcl-2
Databases, Pharmaceutical
A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.
Pathologica
Dec 1, 2024
HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with HPV-positive tumors associated with better overall survival. To determine HPV status, we rely on the immunohistochemical investigation for expression ...
Prognostic value of CDKN2A in head and neck squamous cell carcinoma via pathomics and machine learning.
Journal of cellular and molecular medicine
May 1, 2024
This study aims to enhance the prognosis prediction of Head and Neck Squamous Cell Carcinoma (HNSCC) by employing artificial intelligence (AI) to analyse CDKN2A gene expression from pathology images, directly correlating with patient outcomes. Our ap...
Medical Statistics Unlock the Gateway to Further Research: Using Deep Learning to Predict CDKN2A/B Homozygous Deletion in Isocitrate Dehydrogenase-Mutant Astrocytoma.
Korean journal of radiology
Dec 1, 2023
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