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Spatial omics technologies for understanding molecular status associated with cancer progression
Satoi Nagasawa1, Junko Zenkoh1, Yutaka Suzuki1
1Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Cancer Science
|July 23, 2024
Summary
Spatial omics technologies reveal cancer cell adaptations within the tumor microenvironment. These advancements in spatial transcriptomics offer new insights into cancer progression and therapeutic resistance.
Area of Science:
- Cancer genomics and molecular pathology.
- Development and application of spatial omics technologies.
Background:
- Cancer cells adapt to the tumor microenvironment by altering gene expression.
- Tumor microenvironment poses challenges to cancer cell progression and survival.
Purpose of the Study:
- To review recent advancements in spatial omics, particularly spatial transcriptomics.
- To highlight how these technologies retain spatial and histopathological information in cancer tissues.
- To discuss the utility of spatial analysis in understanding cancer biology and heterogeneity.
Main Methods:
- Review of latest spatial analytical technologies and platforms.
- Discussion of key research papers utilizing spatial omics.
- Introduction of specific spatial omics platforms and their capabilities (e.g., single-cell resolution).
Main Results:
- Spatial transcriptome analysis provides comprehensive omics data for cancer cells and surrounding cells (immune cells, fibroblasts).
- Emerging platforms offer single-cell or subcellular resolution for detailed spatial profiling.
- These technologies enable investigation of molecular events linked to cancer progression.
Conclusions:
- Novel spatial omics technologies, combined with histopathology, are crucial for understanding intratumor heterogeneity.
- Enhanced knowledge of tumor biology can lead to overcoming therapeutic resistance.
- This approach promises improved patient stratification and personalized cancer treatment strategies.
Keywords:
cancer progressionmultiomicssingle‐cell resolutionspatial transcriptometumor microenvironment
