AIMC Topic: Antimetabolites, Antineoplastic

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Prediction of High-Dose Methotrexate Blood Concentration in Osteosarcoma Patients Using Machine Learning.

Drug design, development and therapy May 3, 2025
INTRODUCTION: High-dose methotrexate is a typical chemotherapy that is widely used in the treatment of osteosarcoma. However, the unique dose-response relationship of methotrexate makes its treatment window relatively narrow, and its clinical use is ...
Humans Machine Learning Female Child Dose-Response Relationship, Drug Osteosarcoma Bone Neoplasms Methotrexate Antimetabolites, Antineoplastic Young Adult Adult Male Middle Aged Adolescent
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Artificial intelligence-driven hydrogel microneedle patches integrating 5-fluorouracil inclusion complex-loaded flexible pegylated liposomes for enhanced non-melanoma skin cancer treatment.

International journal of pharmaceutics Dec 13, 2024
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) incorporating 5-FU-hydroxypropyl beta-cyclodextrin inclusion complex-loaded flexible PEGylated liposomes (5-FU-HPβCD-loaded FP-LPs) to enhance treatment ...
Skin Absorption Transdermal Patch Liposomes Administration, Cutaneous Needles Humans Antimetabolites, Antineoplastic Artificial Intelligence 2-Hydroxypropyl-beta-cyclodextrin Skin Neoplasms Drug Delivery Systems Animals Fluorouracil Cell Line, Tumor Polyethylene Glycols Mice Hydrogels Skin
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Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy for non-metastatic locally advanced pancreatic cancer: a single-center retrospective study.

Radiation oncology (London, England) Feb 10, 2022
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancreatic cancer (LAPC) remain unclear. This study aimed to determine the factors associated with long-te...
Radiation-Sensitizing Agents Combined Modality Therapy Antimetabolites, Antineoplastic Deoxycytidine Gemcitabine Proton Therapy Male Retrospective Studies Middle Aged Humans Female Aged, 80 and over Time Factors Aged Pancreatic Neoplasms Adult Neoplasm Staging Survival Rate
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Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.

Cardiovascular toxicology Nov 18, 2021
Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimidine-based chemotherapy. To develop and compare machine learning algorithms to predict cardiotoxicity risk among nationally representative CRC patients...
Female Risk Factors Aged Colorectal Neoplasms Male Middle Aged Humans Machine Learning Decision Support Techniques SEER Program Heart Diseases Risk Assessment Capecitabine Time Factors Antimetabolites, Antineoplastic Treatment Outcome Cardiotoxicity Predictive Value of Tests Fluorouracil
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Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.

International journal of hematology Jun 25, 2021
This study aimed to establish a predictive model to identify children with hematologic malignancy at high risk for delayed clearance of high-dose methotrexate (HD-MTX) based on machine learning. A total of 205 patients were recruited. Five variables ...
Polymorphism, Single Nucleotide Genotype Nomograms Methotrexate Alleles Reproducibility of Results Hematologic Neoplasms Risk Assessment Child ROC Curve Antimetabolites, Antineoplastic Pharmacogenomic Testing Humans Machine Learning Biomarkers
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An Application of Machine Learning in Pharmacovigilance: Estimating Likely Patient Genotype From Phenotypical Manifestations of Fluoropyrimidine Toxicity.

Clinical pharmacology and therapeutics Feb 27, 2020
Dihydropyrimidine dehydrogenase (DPD)-deficient patients might only become aware of their genotype after exposure to dihydropyrimidines, if testing is performed. Case reports to pharmacovigilance databases might only contain phenotypical manifestatio...
Machine Learning Phenotype Databases, Factual Genotype Fluorouracil Humans Pharmacovigilance Antimetabolites, Antineoplastic Dihydropyrimidine Dehydrogenase Deficiency
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Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Scientific reports Nov 6, 2018
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen...
Genome, Human Antimetabolites, Antineoplastic Deoxycytidine Gemcitabine Computational Biology Support Vector Machine Ovarian Neoplasms Predictive Value of Tests Fluorouracil Humans Machine Learning Algorithms Biomarkers, Tumor Neoplasms Transcriptome Databases, Factual Precision Medicine Female
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.

Clinical pharmacology and therapeutics Feb 2, 2018
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
Humans Machine Learning Computer Simulation Risk Assessment Cell Survival Predictive Value of Tests Structure-Activity Relationship Pharmacogenetics Genotype Dose-Response Relationship, Drug Pharmacogenomic Testing Pharmacogenomic Variants Models, Molecular Gene Frequency Fluorouracil Protein Conformation Inhibitory Concentration 50 Antimetabolites, Antineoplastic HCT116 Cells Mutation, Missense HEK293 Cells Dihydrouracil Dehydrogenase (NADP)
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Efficacy, safety and pharmacokinetics of subcutaneous azacitidine in Chinese patients with higher risk myelodysplastic syndromes: Results from a multicenter, single-arm, open-label phase 2 study.

Asia-Pacific journal of clinical oncology Dec 28, 2017
BACKGROUND: Azacitidine safety and efficacy were established in studies of mainly Caucasian patients. Differences in drug metabolism enzymes between Caucasian and East Asian populations prevent extrapolation of drug effects between these groups. This...
Myelodysplastic Syndromes Azacitidine Infusions, Subcutaneous Male Middle Aged Treatment Outcome Asian People Antimetabolites, Antineoplastic Humans Female Aged Young Adult Adult
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Monitoring vascular normalization induced by antiangiogenic treatment with (18)F-fluoromisonidazole-PET.

Molecular oncology Dec 22, 2015
BACKGROUND: Rationalization of antiangiogenics requires biomarkers. Vascular re-normalization is one widely accepted mechanism of action for this drug class. The interstitium of tumors with abnormal vasculature is hypoxic. We sought to track vascular...
Neovascularization, Pathologic Humans Pancreas Female Antimetabolites, Antineoplastic Cell Hypoxia Mice, Nude Breast Neoplasms Deoxycytidine Pancreatic Neoplasms Fluorine Radioisotopes Animals Gemcitabine Breast Benzimidazoles Cell Line, Tumor Misonidazole Positron-Emission Tomography Mice Quinolones Angiogenesis Inhibitors
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