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2篇 您的检索式:作者名="Karolin Trautmann"
    题名 作者 年代 出处 被引量
1Eradication of H pylori for the prevention of gastric cancer显示文摘有 H pylori 的感染是与胃的癌症联系的最重要的已知的病因学的因素。当有 H pylori 的胃粘膜的殖民导致活跃、长期的胃炎在时几乎,所有个人感染了,得胃的癌症的可能性取决于环境、细菌的毒力和主人 specific 因素。所有胃的癌症盒子的多数对 H pylori 感染并且因此可归因理论上可防止。从在一个早时间点的 H pylori 的根除能阻止的动物模型有证据胃的癌症开发。然而,使随机化在人在胃的癌症的发生上探索 H pylori 根除的预防效果的临床的审判仍然保持稀少并且让步了冲突结果。为在为 H pylori 的风险的病人的鉴定的更好的标记导致了胃的恶意被需要允许更有效的公共根除策略的发展。同时,屏蔽并且在胃的癌症病人以及某些高风险的人口的一度的亲戚的 H pylori 的治疗可能是有益的。Karolin Trautmann Manfred Stolte Stephan Miehlke 2006World Journal of Gastroenterology2006,12,32:4
2Expression profiling of gastric cancer samples by oligonucleotide microarray analysis reveals low degree of intra-tumor variability显示文摘AIM: Gene expression profiling provides an unique opportunity to gain insight into the development of different types of gastric cancer. Tumor sample heterogeneity is thought to decrease the sensitivity and tumor specificity of microarray analysis. Thus, microdissection and preamplification of RNA is frequently performed. However, this technique may also induce considerable changes to the expression profile. To assess the effect of gastric tumor heterogeneity on expression profiling results, we measured the variation in gene expression within the same gastric cancer sample by performing a gene chip analysis with two RNA preparations extracted from the same tumor specimen.METHODS: Tumor samples from six intestinal T2 gastric tumors were dissected under liquid nitrogen and RNA was prepared from two separate tumor fragments. Each extraction was individually processed and hybridized to an Affymetrix U133A gene chip covering approximately 18 000 human gene transcripts. Expression profiles were analyzed using Microarray Suite 5.0 (Affymetrix) and GeneSpring 6.0 (Silicon Genetics).RESULTS: All gastric cancers showed little variance in expression profiles between different regions of the same tumor sample. In this case, gene chips displayed mean pair wise correlation coefficients of 0.94±0.02 (mean±SD),compared to values of 0.61±0.1 for different tumor samples. Expression of the variance between the two expression profiles as a percentage of 'total change'(Affymetrix) revealed a remarkably low average value of 1.18±0.78 for comparing fragments of the same tumor sample.In contrast, comparison of fragments from different tumors revealed a percentage of 24.4±4.5.CONCLUSION: Our study indicates a low degree of expression profile variability within gastric tumor samples isolated from one patient. These data suggest that tumor tissue heterogeneity is not a dominant source of error for microarray analysis of larger tumor samples, making total RNA extraction an appropriate strategy for performing gene chip expression profiling of gastric cancer.Karolin Trautmann Christine Steudel Dana Grossmann Daniela Aust Gerhard Ehninger Stephan Miehike Christian Thiede 2005World Journal of Gastroenterology2005,11,38:0
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