Related Experiment Video
Updated: Oct 14, 2025
07:47
Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
Published on: September 15, 2023
1.8K
A Dynamic Transcriptome Map of Different Tissue Microenvironment Cells Identified During Gastric Cancer Development
Honghao Yin1,2,3, Rui Guo1,2,3, Huanyu Zhang1,2,3
1Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Shenyang, China.
Frontiers in Immunology
|November 8, 2021
Summary
This study maps tissue microenvironment cells during gastric cancer (GC) progression. Key cell types like macrophages and fibroblasts drive GC development, offering new diagnostic and therapeutic targets.
Area of Science:
- Oncology
- Cell Biology
- Genomics
Background:
- Gastric cancer (GC) pathogenesis involves complex processes from inflammation to carcinogenesis.
- Key mechanisms driving GC progression remain incompletely understood.
- The tumor microenvironment (TME) plays a critical role in malignant tumor development.
Purpose of the Study:
- To generate a dynamic transcriptome map of TME cells across various disease stages in GC.
- To identify key transition markers and carcinogenic trajectories of TME cells.
- To elucidate the role of specific TME cells in promoting GC occurrence and development.
Main Methods:
- Single-cell sequencing analysis was employed to map TME cell transcriptomes.
- Dynamic transcriptome data were analyzed across multiple disease stages.
- Carcinogenic evolution and cell trajectories within the TME were delineated.
Main Results:
- A set of key transition markers associated with TME cell carcinogenic evolution was identified.
- Landmark dynamic carcinogenic trajectories for various TME cells were delineated.
- Macrophages, fibroblasts, and endothelial cells were found to significantly influence epithelial cells, suggesting their critical role in GC.
Conclusions:
- Different TME cell types exhibit phenotypic convergence towards tumor formation in GC.
- The identified TME cell dynamics provide insights into GC pathogenesis.
- This data may facilitate early GC detection, diagnosis, and the development of novel treatment therapies.
