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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

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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:

Keywords:

Data integration Pan-cancer analysis Spatial transcriptome Tumor microenvironment

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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.