The Topology of Mutated Driver Pathways
Raouf Dridi, Hedayat Alghassi, Maen Obeidat, Sridhar Tayur

TL;DR
This paper introduces a topological framework to analyze and compare the structure of mutated driver pathways in different cancers, revealing distinct topological properties for AML and GBM.
Contribution
It presents a novel topological approach to understand the relationships among cancer pathways and compares their structures across different cancer types.
Findings
AML pathways form a homotopy sphere
GBM pathways form a genus-2 surface
Topological differences suggest distinct pathway organizations
Abstract
Much progress has been made, and continues to be made, towards identifying candidate mutated driver pathways in cancer. However, no systematic approach to understanding how candidate pathways relate to each other for a given cancer (such as Acute myeloid leukemia), and how one type of cancer may be similar or different from another with regard to their respective pathways (Acute myeloid leukemia vs. Glioblastoma multiforme for instance), has emerged thus far. Our work attempts to contribute to the understanding of {\em space of pathways} through a novel topological framework. We illustrate our approach, using mutation data (obtained from TCGA) of two types of tumors: Acute myeloid leukemia (AML) and Glioblastoma multiforme (GBM). We find that the space of pathways for AML is homotopy equivalent to a sphere, while that of GBM is equivalent to a genus-2 surface. We hope to trigger new…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Bioinformatics and Genomic Networks · Genomics and Chromatin Dynamics
