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Status: Bibliographieeintrag

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Verfasst von:Skorokhod, Alexander [VerfasserIn]   i
 Helmbold, Peter [VerfasserIn]   i
 Brors, Benedikt [VerfasserIn]   i
 Schirmacher, Peter [VerfasserIn]   i
 Enk, Alexander [VerfasserIn]   i
 Penzel, Roland [VerfasserIn]   i
Titel:Automated universal BRAF state detection within the activation segment in skin metastases by pyrosequencing-based assay U-BRAFV600
Verf.angabe:Alexander Skorokhod, Peter Helmbold, Benedikt Brors, Peter Schirmacher, Alexander Enk, Roland Penzel
Jahr:2013
Umfang:10 S.
Fussnoten:Im Text ist "V600" hochgestellt ; Published: March 26, 2013 ; Gesehen am 03.02.2022
Titel Quelle:Enthalten in: PLOS ONE
Ort Quelle:San Francisco, California, US : PLOS, 2006
Jahr Quelle:2013
Band/Heft Quelle:8(2013), 3, Artikel-ID e59221, Seite 1-10
ISSN Quelle:1932-6203
Abstract:Malignant melanoma is a highly-aggressive type of malignancy with considerable metastatic potential and frequent resistance to cytotoxic agents. BRAF mutant protein was recently recognized as therapeutic target in metastatic melanoma. We present a newly-developed U-BRAFV600 approach - a universal pyrosequencing-based assay for mutation detection within activation segment in exon 15 of human braf. We identified 5 different BRAF mutations in a single assay analyzing 75 different formalin-fixed paraffin-embedded (FFPE) samples of cutaneous melanoma metastases from 29 patients. We found BRAF mutations in 21 of 29 metastases. All mutant variants were quantitatively detectable by the newly-developed U-BRAFV600 assay. These results were confirmed by ultra-deep-sequencing validation (∼60,000-fold coverage). In contrast to all other BRAF state detection methods, the U-BRAFV600 assay is capable of automated quantitative identification of at least 36 previously-published BRAF mutations. Under the precaution of a minimum of 3% mutated cells in front of a background of wild type cells, U-BRAFV600 assay design completely excludes false wild-type results. The corresponding algorithm for classification of BRAF-mutated variants is provided. The single-reaction assay and data analysis automation makes our approach suitable for the assessment of large clinical sample sizes. Therefore, we suggest U-BRAFV600 assay as a most powerful sequencing-based diagnostic tool to automatically identify BRAF state as a prerequisite to targeted therapy.
DOI:doi:10.1371/journal.pone.0059221
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1371/journal.pone.0059221
 kostenfrei: Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059221
 DOI: https://doi.org/10.1371/journal.pone.0059221
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Amplification-refractory mutation system analysis
 Colorectal cancer
 Cutaneous melanoma
 Dideoxy DNA sequencing
 Metastasis
 Mutation databases
 Mutation detection
 Polymerase chain reaction
K10plus-PPN:1788479912
Verknüpfungen:→ Zeitschrift

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