Integrative single-cell atlas unveils heterogeneity and prognostic value of cancer-associated fibroblasts in gastric cancer
Ziyu Jiang, Xiaomei Zhuang, Junkui Guo, Minyi Zhu, Chunhong Hong, Chunhui Sun, Kaiming Wu, Haofan Yin, Cuncan Deng, Ping Jiang

TL;DR
This study maps the tumor microenvironment in gastric cancer and identifies a four-gene signature linked to prognosis, offering new insights for patient management.
Contribution
The novel four-gene CAF signature (SPARC, EFEMP1, RGS5, SERPINE1) for prognostic prediction in gastric cancer patients.
Findings
Fibroblasts and endothelial cells are associated with poor patient outcomes in gastric cancer.
NK and T cells are correlated with improved prognosis in gastric cancer patients.
A four-gene CAF signature is significantly upregulated in cancer tissues and may enhance patient stratification.
Abstract
Gastric cancer (GC) exhibits molecular heterogeneity and diverse immune cell infiltration patterns closely associated with patient prognosis. However, a comprehensive understanding of the variations in immune cell phenotypes among different patient subgroups still needs to be improved. In this study, we performed a detailed analysis of the tumor microenvironment in GC by integrating 200,466 single cells from 72 patients across six datasets. We classified patients into immune-deserted, B, T, and myeloid cell subtypes. Using genomic and clinical data from TCGA samples, we identified cellular components associated with tumor histology and genotypes. GC patients were stratified into immune-deserted, B cell, T cell, and myeloid cell subtypes, and we described the pathway and transcription factor activity characteristics of different microenvironment subtypes. Integration of bulk RNA-seq data…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsSingle-cell and spatial transcriptomics · Cancer Immunotherapy and Biomarkers · Immune cells in cancer
