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    High-resolution melting analysis is a sensitive diagnostic tool to detect imatinib-resistant and imatinib-sensitive PDGFRA exon 18 mutations in gastrointestinal stromal tumors

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    The mutational status of KIT and PDGFRA is highly relevant for prognosis and therapy prediction in gastrointestinal stromal tumors (GIST). PDGFRA exon 18 mutations have direct therapeutic implications since it is crucial to distinguish mutations associated with sensitivity to tyrosine kinase inhibitors from those causing primary resistance, eg, the most common exon 18 mutation p.D842V. In response to a growing demand for reliable, faster and more sensitive methods we established and validated a high-resolution melting (BRM) assay for PDGFRA exon 18. A total of 159 GIST samples were comparatively analyzed by FIRM and direct Sanger sequencing. We demonstrate that BRM provides highly reliable mutational results with higher sensitivity and shorter time to diagnosis compared to Sanger sequencing. We determined the sensitivity threshold of FIRM at 6% of mutated alleles. PDGFRA exon 18 wild-type status and the most common p.D842V resistance mutation (together representing >90% of the cases) can be detected specifically by FIRM. Other rare mutations can be pre-screened by FIRM and afterwards determined precisely by DNA sequencing. In this way we detected four novel mutations in PDGFRA exon 18, two of which were associated with an aggressive clinical course. Including these new mutations, we provide a comprehensive overview of all 60 currently known subtypes of PDGFRA exon 18 mutations in GIST. Seven of them (accounting for about 75% of all exon 18-mutated GISTs) are reported to be resistant to imatinib. However, there are at least 10 other mutations which are regarded as sensitive to tyrosine kinase inhibitors. (C) 2014 Elsevier Inc. All rights reserved.Novartis Oncolog

    Gastrointestinal stromal tumor of the rectum: results of surgical and multimodality therapy in the era of imatinib

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    The rectum is a rare site of gastrointestinal stromal tumor (GIST), and factors determining long-term outcome remain unclear. In a population study, we assessed the outcome of rectal GIST patients treated at two referral centers

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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