Publications by authors named "Stefanie Schwager"

In gastrointestinal stromal tumors (GISTs), the occurrence of an epithelioid/mixed phenotype has been correlated to PDGFRA mutations, gastric localization and favorable outcome. On the other hand, the prognostic significance of an epithelioid/mixed growth pattern occasionally observed in GISTs with KIT mutation is unclear. The aim of this study was to evaluate the prognostic significance of an epithelioid/mixed phenotype in correlation to anatomical localization, genotype, and expression of cell-cycle markers in a series of 116 primary GISTs with KIT mutation on a tissue microarray.

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In gastrointestinal stromal tumors (GISTs), mutually exclusive gain-of-function mutations of KIT and PDGFRA are associated with different mutation-dependent clinical behavior. Taking into account the well-known different clinical behavior of GISTs from the stomach or the intestine, the aim of the current study is to evaluate the mutation- and site-dependent effects on mRNA and protein expression of KIT and PDGFRA in a large series of primary GISTs. Fresh-frozen tissue of 53 primary GISTs from gastric (75%) or intestinal (25%) sites were analyzed for mutation of KIT or PDGFRA using direct sequencing.

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Purpose: The aim of the current study was to examine the prognostic relevance of the CDKN2A tumor suppressor pathway in gastrointestinal stromal tumors (GIST).

Experimental Design: We determined the mRNA expression of p1(INK4A), p14(ARF), CDK4, RB1, MDM2, TP53, and E2F1 by quantitative reverse transcription-PCR in 38 cases of GISTs and correlated the findings with clinicopathologic factors, including mutation analysis of KIT and PDGFRA.

Results: The k-means cluster analysis yielded three prognostic subgroups of GISTs with distinct mRNA expression patterns of the CDKN2A pathway.

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In quantitative reverse transcription-polymerase chain reaction (qRT-PCR), normalization using reference genes is a common useful approach, but the validation of suitable reference genes remains a crucial problem. Use of unconfirmed reference genes may lead to misinterpretation of the expression of target genes. The aim of this study was to adapt an adequate statistical approach to identify and validate reference genes suitable for normalization in qRT-PCR assays.

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