Single-Cell 3D Genome Evolution in Kras-Driven Cancers
Publication Title: Tracing the evolution of single-cell 3D genomes in Kras-driven cancers
Summary
- Question
- This study examined how the three-dimensional (3D) organization of the genome changes during the progression of cancers driven by mutations in the Kras gene, focusing on mouse models of lung adenocarcinoma (LUAD) and pancreatic ductal adenocarcinoma (PDAC). The researchers aimed to identify structural changes in the genome that correlate with cancer progression and assess whether these changes could help identify diagnostic and therapeutic biomarkers.
- Why it Matters
- Understanding how the 3D genome evolves during cancer progression is important because changes in genome structure can affect gene expression, influencing tumor behavior and patient outcomes. This research has implications for improving cancer diagnosis, identifying biomarkers that predict prognosis, and uncovering potential therapeutic targets. For the academic community, the study offers insights into how genome architecture contributes to cancer biology, while for the public, it highlights the potential for advancing cancer treatments by exploring the structural organization of DNA in cells.
- Methods
- The researchers used chromatin tracing, an imaging-based method, to visualize 3D genome folding directly within tissue samples. They studied over 26,000 cells from genetically engineered mouse models of LUAD and PDAC, analyzing the transition from normal cells to preinvasive and invasive tumor states. They also conducted RNA sequencing and functional analyses to link genome structural changes with gene expression and cancer progression.
- Key Findings
- The study revealed non-linear, stage-specific changes in 3D genome architecture during cancer progression. Early-stage adenoma cells showed increased chromatin compaction and reduced structural variability compared to normal cells, creating a 'bottleneck' in genome structure. These changes reversed in invasive tumor cells, which exhibited more heterogeneity and decompaction. Additionally, specific genome regions linked to tumor progression showed altered gene expression and structural organization. The researchers identified genes associated with these changes as potential markers for prognosis and therapeutic targets.
- Implications
- These findings suggest that analyzing 3D genome organization could improve cancer diagnosis and prognostic predictions. The structural bottleneck identified in early tumor stages may represent a critical phase for intervention. Genes with altered expression and structural changes could serve as biomarkers for cancer progression and targets for new therapies, potentially enhancing treatment strategies for Kras-driven cancers.
- Next Steps
- The authors propose further research to map genome structure changes to gene activity and epigenetic modifications in single cells, integrating spatial transcriptomics and proteomics. They also suggest extending 3D genome mapping to human cancer samples to validate findings and explore clinical applications, such as improving cancer subtype classification and identifying therapeutic targets.
- Funding Information
- This research was supported by the National Institutes of Health (awards R01CA292936, R33CA251037, DP2CA248136, and UH3CA268202). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The research also received funding from the American Association for Cancer Research-Genentech NextGen Grant, the Pershing Square Sohn Cancer Research Alliance, the American Federation for Aging Research, and the Hevolution Foundation. Yale University also provided funding and support for this research.
Full Citation
Liu M, Jin S, Agabiti S, Jensen T, Yang T, Radda J, Ruiz C, Baldissera G, Rajaei M, Li F, Townsend J, Muzumdar M, Wang S. Tracing the evolution of single-cell 3D genomes in Kras-driven cancers. Nature Genetics 2025, 57: 3075-3087. PMID: 40825871, PMCID: PMC12695640, DOI: 10.1038/s41588-025-02297-w.
This AI-assisted summary has been reviewed and approved by at least one of the study's authors to ensure it accurately reflects the research.
Authors
Miao Liu
First AuthorSiyuan (Steven) Wang, PhD
Last AuthorAssociate Professor of Genetics and Cell Biology
Additional Yale School of Medicine Authors
Other Authors
Research Themes
Concepts
- Cell-to-cell heterogeneity;
- Genome-wide chromatin;
- Genome compaction;
- Genome architecture;
- Genomic structure;
- Genome mapping;
- Genome regulation;
- Lung adenocarcinoma;
- Dependent genes;
- KRAS-driven cancers;
- Genome;
- Mouse lung adenocarcinoma;
- Cancer progression;
- Early tumor progression;
- Single cells;
- Cancer state;
- Genes;
- Pancreatic ductal adenocarcinoma;
- Invasive tumors;
- Therapeutic biomarkers;
- Ductal adenocarcinoma;
- Tumor progression;
- Compartmental changes;
- Chromatin;
- Cancer