Geometric Network Analysis Provides Prognostic Information in Patients with High Grade Serous Carcinoma of the Ovary Treated with Immune Checkpoint Inhibitors
R. Elkin, J. H. Oh, Y. L. Liu, P. Selenica, B. Weigelt, J. S. Reis-Filho, D. Zamarin, J. O. Deasy, L. Norton, A. J. Levine, A. R. Tannenbaum
This paper introduces a network curvature-based method to predict prognosis in high-grade serous ovarian cancer patients treated with immune checkpoint inhibitors using copy number alterations.
bioRxiv · Jun 10, 2021Cancer Biology