Model for predicting EGFR mutation status in lung cancer
نویسندگان
چکیده
منابع مشابه
Predictive radiogenomics modeling of EGFR mutation status in lung cancer
Molecular analysis of the mutation status for EGFR and KRAS are now routine in the management of non-small cell lung cancer. Radiogenomics, the linking of medical images with the genomic properties of human tumors, provides exciting opportunities for non-invasive diagnostics and prognostics. We investigated whether EGFR and KRAS mutation status can be predicted using imaging data. To accomplish...
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Lung cancer is the most common cause of cancer deaths in both men and women. Adenocarcinoma represents about 28% of the NSCLC cases in men and 42% in women. EGFR is a member of the ERBB family of tyrosine kinases (TK). EGFR mutations are more frequently observed in female, non-smokers, East-Asian and in patients with adenocarcinomas, and predict response to TK Inhibitors (TKIs). Sections of ade...
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Epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) are a response to EGFR-tyrosine kinase inhibitor. However, a lack of sufficient tumor tissue has been a limitation for determining EGFR mutation status in clinical practice. The objective of this study was to predict EGFR mutation status in NSCLC patients based on a model including maximum standardized uptak...
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Epidermal growth factor receptor (EGFR) mutation status of lung cancer is important because it indicates induction of EGFR-TKI (tyrosine kinase inhibitor) treatment. EGFR mutation has been reported to be strongly related with never-smoker, female, adenocarcinoma and Asians (Lynch et al., 2004; Paez et al., 2004; Pao et al., 2004). There is a striking difference in the frequency of EGFR mutation...
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PURPOSE Recently, somatic mutations of the epidermal growth factor receptor (EGFR) gene were found in approximately 25% of Japanese lung cancer patients. These EGFR mutations are reported to be correlated with clinical response to gefitinib therapy. However, DNA sequencing using the PCR methods described to date is time-consuming and requires significant quantities of DNA; thus, this existing a...
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ژورنال
عنوان ژورنال: Breathe
سال: 2019
ISSN: 1810-6838,2073-4735
DOI: 10.1183/20734735.0250-2019