Epidermal growth factor receptor mutation analysis in previously unanalyzed histology samples and cytology samples from the phase III Iressa Pan-ASia Study (IPASS)
| Autor: | Nagahiro Saijo, Rose McCormack, Kazuhiko Nakagawa, Gael McWalter, Yi-Long Wu, Valorie F. Chan, James Chih-Hsin Yang, Johan Kurnianda, Masahiro Fukuoka, Tony Mok |
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| Rok vydání: | 2014 |
| Předmět: |
Pulmonary and Respiratory Medicine
Oncology Cancer Research medicine.medical_specialty Pathology Lung Neoplasms Histology EGFR medicine.medical_treatment DNA Mutational Analysis Adenocarcinoma NSCLC Gefitinib Internal medicine Cytology Antineoplastic Combined Chemotherapy Protocols medicine Humans Diagnostic Epidermal growth factor receptor Precision Medicine Early Detection of Cancer Chemotherapy Tumor biology business.industry Histological Techniques medicine.disease Tumor Burden ErbB Receptors Treatment Outcome Mutation Mutation (genetic algorithm) Quinazolines biology.protein Mutation testing business medicine.drug |
| Zdroj: | Lung Cancer. 83:174-181 |
| ISSN: | 0169-5002 |
| DOI: | 10.1016/j.lungcan.2013.11.021 |
| Popis: | ObjectivesEpidermal growth factor receptor (EGFR) mutation testing is standard practice after lung adenocarcinoma diagnosis, and provision of high-quality tumor tissue is ideal. However, there are knowledge gaps regarding the utility of cytology or low tumor content histology samples to establish EGFR mutation status, particularly with regard to the proportion of testing performed using these sample types, and the lack of an established link with efficacy of treatment.MethodsThe randomized phase III Iressa Pan-ASia Study (IPASS; ClinicalTrials.gov identifier NCT00322452) of first-line gefitinib versus chemotherapy analyzed samples meeting preplanned specifications (n=437 evaluable for EGFR mutation; n=261 mutation-positive). This supplementary analysis assessed tumor content and mutation status of histology (n=99) and cytology samples (n=116) which were previously unanalyzed due to sample quality, type, and tumor content ( |
| Databáze: | OpenAIRE |
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