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Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
Published on: October 31, 2025
Spatial Transcriptomics Open a New Era of Pan-Cancer Analysis
Yuqi Sheng1, Yuwei Yang1, Ruizhe Zhang2
1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Cancer Investigation
|June 7, 2026
Summary
Spatial transcriptomics (ST) revolutionizes cancer research by integrating spatial data with molecular profiles. This approach aids in understanding cancer ecosystems, gene heterogeneity, and metastasis for improved diagnosis and therapy.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Spatial transcriptomics (ST) enables in situ integration of spatial architecture with molecular profiles for pan-cancer analysis.
- Understanding the spatial organization of tumors is crucial for deciphering cancer biology.
Purpose of the Study:
- To review key advances in spatial transcriptomics for pan-cancer analysis.
- To discuss the clinical translation of ST insights for diagnosis and therapy stratification.
Main Methods:
- Synthesis of key advances in spatial transcriptomics.
- Analysis of conserved and divergent spatial ecosystems across various cancers.
- Mapping gene heterogeneity and metastatic evolution using ST data.
Main Results:
- Deciphered conserved and divergent spatial ecosystems across cancers.
- Mapped heterogeneity of driver genes and traced metastatic evolution.
- Established novel spatial molecular classifications for pan-cancer analysis.
Conclusions:
- Spatial transcriptomics provides spatially informed insights for broad-spectrum oncological strategies.
- ST is pivotal for advancing cancer diagnosis and therapy stratification.
- Challenges remain in integrating multi-cancer datasets and enhancing translational efficiency.
