Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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 the newly developed U-BRAF(V600) approach (Patent No. 12153477.0-1404)-a universal Pyrosequencing(®)-based assay for mutation detection within the activation segment in exon 15 of human BRAF. We identified five different BRAF mutations in a single assay analyzing 75 different formalin-fixed paraffin-embedded samples of cutaneous melanoma metastases from 29 patients. All mutant variants were quantitatively detectable by the newly developed U-BRAF(V600) assay. These results were confirmed by ultra-deep sequencing. In contrast to all other BRAF state detection methods, the U-BRAF(V600) assay is capable of automated quantitative identification of at least 36 previously published BRAF mutations. Under the precaution of a minimum of 5 % mutated cells in a background of wild-type cells, the U-BRAF(V600) assay design completely excludes false-negative wild-type results. The corresponding algorithm for classification of BRAF-mutated variants is provided in this chapter together with a detailed step-by-step protocol for the Pyrosequencing reaction.The single-reaction format and automation of data analysis make our approach suitable for the assessment of large clinical cohorts. Therefore, we suggest U-BRAF(V600) assay as a powerful sequencing-based diagnostic tool to automatically identify BRAF status.
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Source |
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http://dx.doi.org/10.1007/978-1-4939-2715-9_6 | DOI Listing |
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