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We developed a novel, rapid EGFR mutation assay using a real-time droplet-polymerase chain reaction machine (EGFR d-PCR assay). The purpose of this study was to validate the performance of the EGFR d-PCR assay using fresh liquid cytology specimens. We analyzed three major EGFR mutations (L858R in exon 21, E746_A750del in exon 19 and T790M in exon 20) in 80 fresh liquid cytology specimens of adenocarcinoma (ADC) or NSCLC-not otherwise specified (NOS) via the EGFR d-PCR assay and conventional real-time PCR assay using the therascreen (R) EGFR RGQ PCR kit (Therascreen assay). In addition, we performed sensitivity assays using cell lines with EGFR mutations. The EGFR d-PCR assay detected 16 L858Rs, 8 E746_A750dels and 1 T790M mutation and the Therascreen assay detected 16 L858Rs, 11 deletions in exon 19 and 1 T790M mutation. The results were concordant between the two assays. The reaction time of the EGFR d-PCR assay was 8 min and 10 sec, but that of the Therascreen assay was 1 h and 45 min. Sensitivity, as assessed by the detection limit of the EGFR d-PCR assay was 0.5, 0.05 and 0.5% for L858R, E746_A750del and T790M, respectively. The EGFR d-PCR assay markedly reduced the detection time of major EGFR mutations with high sensitivity compared with the conventional Therascreen assay and is expected to expedite EGFR-TKI therapy for lung cancer patients, especially those in advanced stages."}]}, "item_1627890986942": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_be7fb7dd8ff6fe43", "subitem_version_type": "NA"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u6d45\u9999, \u5fd7\u7a42"}], "nameIdentifiers": [{"nameIdentifier": "103714", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-06-06"}], "displaytype": "detail", "download_preview_message": 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