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Updated: May 5, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
ChromoHub V2: cancer genomics.
Muhammad A Shah1, Emily L Denton, Lihua Liu
1Structural Genomics Consortium, and Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5G 1L7, Canada.
Cancer genomics data reveal the critical role of epigenetic mechanisms. The Chromohub interface now maps cancer genomics data, including mutations and expression changes in chromatin factors, onto protein family phylogenetic trees.
Area of Science:
- Genomics
- Epigenetics
- Cancer Biology
Background:
- Epigenetic mechanisms are central to cancer development.
- Chromohub is an existing open-access interface for mapping data onto protein family phylogenies.
- Previous versions focused on chromatin-signaling protein families.
Purpose of the Study:
- To introduce a new cancer genomics interface integrated into Chromohub.
- To enable visualization of cancer-related genomic alterations in epigenetic factors.
- To facilitate exploration of the cancer genomics landscape for chromatin-related proteins.
Main Methods:
- Integrated data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC).
- Extracted mutation, amplification, and expression change frequencies for chromatin factors.
- Mapped this cancer genomics data onto phylogenetic trees of epigenetic protein families within Chromohub.
Main Results:
- Cancer genomics data for chromatin factors are now accessible through Chromohub.
- Users can visualize the frequency of alterations (mutation, amplification, expression change) in epigenetic proteins across cancer cohorts.
- The interface allows navigation through the cancer genomics landscape of histone modifiers, remodelers, and chaperones.
Conclusions:
- The new Chromohub interface enhances the study of cancer genomics by integrating epigenetic data.
- It provides a powerful tool for researchers to explore the role of chromatin factors in various cancers.
- Facilitates a deeper understanding of epigenetic dysregulation in cancer through interactive data visualization.
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