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Detection of epidermal growth factor receptor gene mutations in different types of non-small cell lung cancer by droplet digital PCR and amplification refractory mutation system / 中华病理学杂志
Zhonghua Bing Li Xue Za Zhi ; (12): 764-768, 2017.
Article en Zh | WPRIM | ID: wpr-809543
Biblioteca responsable: WPRO
ABSTRACT
Objective@#To compare amplification refractory mutation system(ARMS) and droplet digital PCR (ddPCR) in the detection of epidermal growth factor receptor (EGFR) gene mutations in patients with non-small cell lung cancer (NSCLC), and to investigate the clinical value of ddPCR.@*Methods@#A total of 79 specimens of NSCLC, including 22 cases of cell block, 18 cases of surgical specimens, 12 cases of biopsy specimens and 27 cases of plasma samples, were analyzed for the mutation status of EGFR gene by ARMS and droplet digital PCR method.@*Results@#In 18 cases of surgical specimens and 12 cases of biopsy specimens, the detection results by the two methods were identical with positive rates of 9/18 and 5/12, respectively. In 22 cases of effusion cell blocks, ARMS detected 19-del and L858R of EGFR gene in two cases, in which droplet digital PCR detected 19-del+ T790M mutations in one case and L858R+ T790M mutation in another. L858R mutation was detected by droplet digital PCR in one case but ARMS assay was negative. The remaining 19 cases were consistent by the two methods. In blood samples, the positive rate was 33.3%(9/27) by ARMS and 37.0%(10/27) by droplet digital PCR. Two cases showed L858R and 19-del+ T790M mutation by droplet digital PCR but ARMS assay detected only 19-del. The remaining 25 cases were consistent by the two methods.@*Conclusion@#Droplet digital PCR method is more sensitive and accurate than ARMS for the detection of EGFR mutations in pleural fluid and blood samples, can be used in clinical test.
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Texto completo: 1 Índice: WPRIM Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2017 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2017 Tipo del documento: Article