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000177744 041__ $$aEnglish
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000177744 1001_ $$0P:(DE-He78)2bebef4e65bbcb341e31ca0999b69436$$aElHarouni, Dina$$b0$$eFirst author
000177744 245__ $$aiTReX: Interactive exploration of mono- and combination therapy dose response profiling data.
000177744 260__ $$aLondon$$bAcademic Press$$c2022
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000177744 500__ $$a#EA:B062#LA:B310# / 2022 Jan;175:105996
000177744 520__ $$aHigh throughput screening methods, measuring the sensitivity and resistance of tumor cells to drug treatments have been rapidly evolving. Not only do these screens allow correlating response profiles to tumor genomic features for developing novel predictors of treatment response, but they can also add evidence for therapy decision making in precision oncology. Recent analysis methods developed for either assessing single agents or combination drug efficacies enable quantification of dose-response curves with restricted symmetric fit settings. Here, we introduce iTReX, a user-friendly and interactive Shiny/R application, for both the analysis of mono- and combination therapy responses. The application features an extended version of the drug sensitivity score (DSS) based on the integral of an advanced five-parameter dose-response curve model and a differential DSS for combination therapy profiling. Additionally, iTReX includes modules that visualize drug target interaction networks and support the detection of matches between top therapy hits and the sample omics features to enable the identification of druggable targets and biomarkers. iTReX enables the analysis of various quantitative drug or therapy response readouts (e.g. luminescence, fluorescence microscopy) and multiple treatment strategies (drug treatments, radiation). Using iTReX we validate a cost-effective drug combination screening approach and reveal the application's ability to identify potential sample-specific biomarkers based on drug target interaction networks. The iTReX web application is accessible at (https://itrex.kitz-heidelberg.de).
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000177744 650_7 $$2Other$$aTherapy response profiling and exploration
000177744 650_7 $$2Other$$aasymmetric sensitivity scoring
000177744 650_7 $$2Other$$adifferential combination sensitivity scoring
000177744 650_7 $$2Other$$adrug target networks
000177744 650_7 $$2Other$$ainteractive drug screen analysis
000177744 650_7 $$2Other$$apersonalized medicine
000177744 7001_ $$0P:(DE-He78)b9b209c7129285852f61f807f332725a$$aBerker, Yannick$$b1
000177744 7001_ $$0P:(DE-He78)2727b5cb63b52d0137d4f4e8f110ee7e$$aPeterziel, Heike$$b2
000177744 7001_ $$0P:(DE-He78)60c36ed260d2d1aed48a8fab835b2990$$aGopisetty, Apurva$$b3
000177744 7001_ $$aTurunen, Laura$$b4
000177744 7001_ $$0P:(DE-He78)21d657d65d4ad0fd8b0bbfe10fa65172$$aKreth, Sina$$b5
000177744 7001_ $$0P:(DE-He78)311fe8118b7563b455ba84e94fccb3a8$$aStainczyk, Sabine A$$b6
000177744 7001_ $$0P:(DE-He78)908367a659dea9e28dac34592b3c46e5$$aOehme, Ina$$b7
000177744 7001_ $$aPietiäinen, Vilja$$b8
000177744 7001_ $$0P:(DE-He78)cdb92ef7ba174fe8d6823ccb628013c0$$aJäger, Natalie$$b9
000177744 7001_ $$0P:(DE-He78)143af26de9d57bf624771616318aaf7c$$aWitt, Olaf$$b10
000177744 7001_ $$0P:(DE-He78)f2a782242acf94a3114d75c45dc75b37$$aSchlesner, Matthias$$b11
000177744 7001_ $$0P:(DE-He78)55dfd5b374ab9bccdb49e06e91345571$$aOppermann, Sina$$b12$$eLast author
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