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Updated: Oct 19, 2025
10:41
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
10.6K
Mapping genomic and epigenomic evolution in cancer ecosystems.
Toshikazu Ushijima1, Susan J Clark2,3, Patrick Tan4,5,6,7
1Division of Epigenomics, National Cancer Center Research Institute, Tokyo 104-0045, Japan.
Science (New York, N.Y.)
|September 23, 2021
Summary
Integrating multimodal data is crucial for understanding cancer
Area of Science:
- Oncology
- Genomics
- Epigenomics
Background:
- Cancer, a leading cause of death, arises from genomic and epigenomic changes.
- Early molecular alterations in seemingly normal tissues challenge traditional cancer initiation definitions.
- Later stages involve clonal selection, epigenomic adaptation, and persister cells in metastasis and therapy resistance.
Purpose of the Study:
- To emphasize the significance of multimodal data integration in cancer research.
- To explore the molecular evolution of cancer across its entire life cycle.
- To highlight emerging research areas in cancer development and treatment.
Main Methods:
- Integration of multimodal data.
- Analysis of genomic and epigenomic alterations.
- Application of single-cell and spatial technologies.
Main Results:
- Driver mutations and epigenetic alterations are present in normal tissues.
- Clonal selection, epigenomic adaptation, and persister cells influence metastasis and therapy resistance.
- Tumor ecosystems play a key role in cancer development, revealed by advanced technologies.
Conclusions:
- Multimodal data integration is essential for understanding cancer's molecular evolution.
- Developing comprehensive tumor atlases across the cancer life cycle is vital.
- This approach will improve cancer risk assessment and accelerate therapeutic discovery.
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