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Gefitinib

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Efficacy according to blind independent central review: Post-hoc analyses from the phase III, randomized, multicenter, IPASS study of first-line gefitinib versus carboplatin/paclitaxel in Asian patients with EGFR mutation-positive advanced NSCLC.

Lung cancer (Amsterdam, Netherlands) 28212993
OBJECTIVE: The Phase III, randomized, open-label IPASS study (NCT00322452) of first-line epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI) gefitinib versus carboplatin/paclitaxel for Asian patients with advanced non-small-cell lun...
Adenocarcinoma Aged Aged, 80 and over Antineoplastic Agents Antineoplastic Combined Chemotherapy Protocols Asian People Carboplatin Carcinoma, Non-Small-Cell Lung Disease-Free Survival ErbB Receptors Female Gefitinib Humans Lung Neoplasms Male Middle Aged Mutation Neoplasm Staging Paclitaxel Protein Kinase Inhibitors Quinazolines Randomized Controlled Trials as Topic Smoking
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Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Clinical cancer research : an official journal of the American Association for Cancer Research 32198149
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of tumors to nivolumab, docetaxel, and gefitinib.
Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Clinical Trials, Phase II as Topic Clinical Trials, Phase III as Topic Disease Progression Docetaxel Female Gefitinib Humans Lung Neoplasms Machine Learning Male Nivolumab Prognosis Randomized Controlled Trials as Topic Retrospective Studies Survival Rate Tomography, X-Ray Computed
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Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications.

International journal of molecular sciences 36142321
In this study, we provide a systems biology method to investigate the carcinogenic mechanism of oral squamous cell carcinoma (OSCC) in order to identify some important biomarkers as drug targets. Further, a systematic drug discovery method with a dee...
Biomarkers Biomarkers, Tumor Carcinoma, Squamous Cell Deep Learning Drug Design Drug Discovery Gefitinib Gene Expression Regulation, Neoplastic Head and Neck Neoplasms Humans Metformin Mouth Neoplasms NF-kappa B Squamous Cell Carcinoma of Head and Neck Systems Biology
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Identification of new potential candidates to inhibit EGF via machine learning algorithm.

European journal of pharmacology 38000720
One of the cost-effective alternative methods to find new inhibitors has been the repositioning approach of existing drugs. The advantage of computational drug repositioning method is saving time and cost to remove the pre-clinical step and accelerat...
Algorithms Drug Repositioning Epidermal Growth Factor Gefitinib Machine Learning Molecular Docking Simulation
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Integrated multi-omics and machine learning reveal a gefitinib resistance signature for prognosis and treatment response in lung adenocarcinoma.

IUBMB life 39612355
Gefitinib resistance (GR) presents a significant challenge in treating lung adenocarcinoma (LUAD), highlighting the need for alternative therapies. This study explores the genetic basis of GR to improve prediction, prevention, and treatment strategie...
Adenocarcinoma of Lung Antineoplastic Agents Biomarkers, Tumor Drug Resistance, Neoplasm Gefitinib Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Lung Neoplasms Machine Learning Multiomics Prognosis Transcriptome Tumor Microenvironment
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