bioRxiv preprint doi: https://doi.org/10.1101/854695; this version posted March 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 Ewing sarcoma Davis T. Weaver1, 2, *, Kathleen I. Pishas3,*, Drew Williamson4,*, Jessica Scarborough1, 2, Stephen L. Lessnick5, Andrew Dhawan2, 6, †, and Jacob G. Scott1, 2, 7, † 1Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA 2Translational Hematology Oncology Research, Cleveland Clinic, Cleveland OH, 44106, USA 3Peter MacCallum Cancer Centre, Melbourne, Australia, 3000 4Department of Pathology, Brigham & Women’s Hospital, Boston, MA, 02144 5Nationwide Children’s Hospital, Columbus, Ohio, 43205 6Division of Neurology, Cleveland Clinic, Cleveland Ohio, 44195 7Department 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. 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: We first characterized 6 Ewing sarcoma cell lines using paired mRNA and miRNA sequencing. We then estimated a measure of tumor state, which we term network potential, based on both the mRNA gene expression and the underlying protein-protein interaction network in the tumor.