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Erschienen in: Pathology & Oncology Research 1/2017

21.10.2016 | Original Article

Mutation Profile of B-Raf Gene Analyzed by fully Automated System and Clinical Features in Japanese Melanoma Patients

verfasst von: Masaru Ide, Shinichi Koba, Naoko Sueoka-Aragane, Akemi Sato, Yuri Nagano, Takuya Inoue, Noriyuki Misago, Yutaka Narisawa, Shinya Kimura, Eisaburo Sueoka

Erschienen in: Pathology & Oncology Research | Ausgabe 1/2017

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Abstract

BRAF gene mutations have been observed in 30–50 % of malignant melanoma patients. Recent development of therapeutic intervention using BRAF inhibitors requires an accurate and rapid detection system for BRAF mutations. In addition, the clinical characteristics of the melanoma associated with BRAF mutations in Japanese patients have not been investigated on a large scale evaluation. We recently established quenching probe system (QP) for detection of an activating BRAF mutation, V600E and evaluated 113 melanoma samples diagnosed in Saga University Hospital from 1982 to 2011. The QP system includes fully automated genotyping, based on analysis of the probe DNA melting curve, which binds the target mutated site using a fluorescent guanine quenched probe. BRAF mutations were detected in 54 of 115 (47 %) including 51 of V600E and 3 of V600 K in Japanese melanoma cases. Among clinical subtypes of melanoma, nodular melanoma showed high frequency (12 of 15; 80 %) of mutation followed by superficial spreading melanoma (13 of 26; 50 %). The QP system is a simple and sensitive method to determine BRAF V600E mutation, and will be useful tool for patient-oriented therapy with BRAF inhibitors. Introduction
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Metadaten
Titel
Mutation Profile of B-Raf Gene Analyzed by fully Automated System and Clinical Features in Japanese Melanoma Patients
verfasst von
Masaru Ide
Shinichi Koba
Naoko Sueoka-Aragane
Akemi Sato
Yuri Nagano
Takuya Inoue
Noriyuki Misago
Yutaka Narisawa
Shinya Kimura
Eisaburo Sueoka
Publikationsdatum
21.10.2016
Verlag
Springer Netherlands
Erschienen in
Pathology & Oncology Research / Ausgabe 1/2017
Print ISSN: 1219-4956
Elektronische ISSN: 1532-2807
DOI
https://doi.org/10.1007/s12253-016-0121-2

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