Spatially Resolved Transcriptomics Technology Facilitates Cancer Research

Abstract

Abstract Single cell RNA sequencing (scRNA‐seq) provides a great convenience for studying tumor occurrence and development for its ability to study gene expression at the individual cell level. However, patient‐derived tumor tissues are composed of multiple types of cells including tumor cells and adjacent non‐malignant cells such as stromal cells and immune cells. The spatial locations of various cells in situ tissues plays a pivotal role in the occurrence and development of tumors, which cannot be elucidated by scRNA‐seq alone. Spatially resolved transcriptomics (SRT) technology emerges timely to explore the unrecognized relationship between the spatial background of a particular cell and its functions, and is increasingly used in cancer research. This review provides a systematic overview of the SRT technologies that are developed, in particular the more widely used cutting‐edge SRT technologies based on next‐generation sequencing (NGS). In addition, the main achievements by SRT technologies in precisely unveiling the underappreciated spatial locations on gene expression and cell function with unprecedented high‐resolution in cancer research are emphasized, with the aim of developing more effective clinical therapeutics oriented to a deeper understanding of the interaction between tumor cells and surrounding non‐malignant cells.

Keywords

• spatially resolved transcriptomics (SRT)
• tumor heterogeneity
• cancer‐associated fibroblast (CAF)
• tumor immune microenvironment
• tertiary lymphoid structure (TLS)