bioRxiv preprint doi: https://doi.org/10.1101/854695; this version posted November 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Network potential identifies therapeutic miRNA cocktails in Ewings Sarcoma Davis T. Weaver1, 2, *, Kathleen I. Pishas3,*, Drew Williamson4,*, Jessica Scarborough1, 2, Stephen L. Lessnick3, Andrew Dhawan2, 5, †, and Jacob G. Scott1, 2, 6, † 1Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA 2Translational Hematology Oncology Research, Cleveland Clinic, Cleveland OH, 44106, USA 3Nationwide Children’s Hospital, Columbus, Ohio, 43205 4Department of Pathology, Massachusetts General Hospital, Boston, MA, 02144 5Division of Neurology, Cleveland Clinic, Cleveland Ohio, 44195 6Department of Physics, Case Western Reserve University, Cleveland, OH, 44106, USA *contributed equally †
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[email protected] ABSTRACT Introduction: Micro-RNA (miRNA)-based therapies are an emerging class of cancer therapies with many potential applications in the field owing to their ability to repress multiple, predictable targets and cause widespread changes in a cell signaling network. New miRNA-based oligonucleotide drugs have have shown significant promise for the treatment of cancer in pre-clinical studies. Because of the broad effects miRNAs can have on different cells and tissues, a network science-based approach is well-equipped to evaluate and identify miRNA candidates and combinations of candidates for the repression of key oncogenic targets. Methods: In this work, we present a novel network science-based approach for identification of potential miRNA therapies, using Ewings Sarcoma as a model system.