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    题名 作者 年代 出处 被引量
1Thresholds and interactive effects of soil moisture on the temperature response of soil respiration显示文摘Eszter L K Edit K L Zolthn B D 2011European Journal of Soil Biology2011,47,:1
2Morphological and genetic differences among actinosporean stages of fish-parasitic myxosporeans (Myxozoa): difficulties of species identification显示文摘Edit Eszterbauer Szilvia Marton Orsolya Z. Rácz Márta Letenyei Kálmán Molnár 2006Systematic Parasitology2006,,2:1
3Hungactinomyxon, a new actinosporean type and collective group(Myxozoa) from Branchiura sowerbyi Beddard (Oligochaeta)显示文摘Orsolya Z. Rácz Edit Eszterbauer Kálmán Molnár 2005Systematic Parasitology2005,,2:1
4Wavefront-guided photorefractive keratectomy for myopia and myopic astigmatism显示文摘NAGY Z Z ILONA P D EDIT K 2002Journal of Refractive Surgery2002,18,5:1
5Identification of self-incompatibility (S) alleles in latvian and swedish sweet cherry genetic resources collections by PCR based typing显示文摘Gunars L Edite K lsaak R 2008Euphytica( S0014-2336)2008,160,:1
6Mixed mode fracture characterization of hydroxyapatite 显示文摘MANN K A EDITION A A K/NOSHITA R K 1994J Appl Biomat1994,5,:1
7Determination of ethyl carbamate in pálinka spirits by liquid chromatography–electrospray tandem mass spectrometry after derivatization显示文摘Edit Deák Attila Gyepes éva Stefanovits-Bányai Mihály Dernovics 2010Food Research International2010,,10:1
8Real-world performance analysis of a novel computational method in the precision oncology of pediatric tumors显示文摘Background The utility of routine extensive molecular profiling of pediatric tumors is a matter of debate due to the high number of genetic alterations of unknown significance or low evidence and the lack of standardized and personalized decision support methods.Digital drug assignment(DDA)is a novel computational method to prioritize treatment options by aggregating numerous evidence-based associations between multiple drivers,targets,and targeted agents.DDA has been validated to improve personalized treatment decisions based on the outcome data of adult patients treated in the SHIVA01 clinical trial.The aim of this study was to evaluate the utility of DDA in pediatric oncology.Methods Between 2017 and 2020,103 high-risk pediatric cancer patients(<21 years)were involved in our precision oncology program,and samples from 100 patients were eligible for further analysis.Tissue or blood samples were analyzed by whole-exome(WES)or targeted panel sequencing and other molecular diagnostic modalities and processed by a software system using the DDA algorithm for therapeutic decision support.Finally,a molecular tumor board(MTB)evaluated the results to provide therapy recommendations.Results Of the 100 cases with comprehensive molecular diagnostic data,88 yielded WES and 12 panel sequencing results.DDA identified matching off-label targeted treatment options(actionability)in 72/100 cases(72%),while 57/100(57%)showed potential drug resistance.Actionability reached 88%(29/33)by 2020 due to the continuous updates of the evidence database.MTB approved the clinical use of a DDA-top-listed treatment in 56 of 72 actionable cases(78%).The approved therapies had significantly higher aggregated evidence levels(AELs)than dismissed therapies.Filtering of WES results for targeted panels missed important mutations affecting therapy selection.Conclusions DDA is a promising approach to overcome challenges associated with the interpretation of extensive molecular profiling in the routine care of high-risk pediatric cancers.Knowledgebase updates enable automatic interpretation of a continuously expanding gene set,a“virtual”panel,filtered out from genome-wide analysis to always maximize the performance of precision treatment planning.Barbara Vodicska Júlia Déri Dóra Tihanyi Edit Várkondi EnikőKispéter Róbert Dóczi Dóra Lakatos Anna Dirner Mátyás Vidermann Péter Filotás Réka Szalkai-Dénes István Szegedi Katalin Bartyik Krisztina Míta Gábor Réka Simon Péter Hauser György Péter Csongor Kiss Miklós Garami István Peták 2023World Journal of Pediatrics2023,19,10:0
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