The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.

Area of Science:

• Oncology
• Genomics
• Systems Biology

Background:

• Cancer progression involves complex cellular interactions within the tumor microenvironment.
• Single-cell genomics and spatial mapping technologies offer new ways to study these interactions.
• Previous cancer research often relied on bulk sequencing, missing single-cell resolution.

Purpose of the Study:

• To create a framework for generating 3D cancer atlases across diverse tumor types.
• To integrate multi-parametric, longitudinal single-cell data with clinical outcomes.
• To identify novel biomarkers, cell states, and interactions driving cancer transitions.

Main Methods:

• Utilizing single-cell genomics and spatial multiplex in situ hybridization.
• Developing a clinical, experimental, and computational framework through the Human Tumor Atlas Network (HTAN).
• Generating longitudinal, multi-parametric single-cell atlases of cancer transitions.

Main Results:

• The HTAN initiative will produce comprehensive 3D tumor atlases.
• Integration of atlases with clinical data will reveal insights into cancer progression.
• Identification of predictive biomarkers and therapeutically relevant cellular features is anticipated.

Conclusions:

• The developed tumor atlases will significantly advance our understanding of cancer biology.
• This approach has the potential to improve cancer detection, prevention, and therapeutic strategies.
• The findings are expected to facilitate precision medicine for cancer patients.