ArticleFrontiers in immunology2021
A Dynamic Transcriptome Map of Different Tissue Microenvironment Cells Identified During Gastric Cancer Development Using Single-Cell RNA Sequencing.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Spatial Transcriptomics Delineates the Inflammatory Landscape of Human Dental Pulp: Regional Crosstalk and Therapeutic Implications.International endodontic journal · 2026Article
- Analysis of single-cell RNA sequencing data to examine the gastric inflammation-to-cancer transition and evaluation of the effect of probiotic on precancerous lesions.Engineering microbiology · 2025Article
- Dynamic changes of host immune response during Helicobacter pylori-induced gastric cancer development.Clinical and experimental immunology · 2025Article
- The Role of Macrophages in Various Types of Tumors and the Possibility of Their Use as Targets for Antitumor Therapy.Cancers · 2025Review
- Article
- Exploring the current landscape of single-cell RNA sequencing applications in gastric cancer research.Journal of cellular and molecular medicine · 2024Review
- Highlights of how single-cell analyses are illuminating differentiation and disease in the gastric corpus.American journal of physiology. Gastrointestinal and liver physiology · 2024Review
- Metabolic regulation of tumor-associated macrophage heterogeneity: insights into the tumor microenvironment and immunotherapeutic opportunities.Biomarker research · 2024Review
- The CAR macrophage cells, a novel generation of chimeric antigen-based approach against solid tumors.Biomarker research · 2023Review
- Identification of stromal cell proportion-related genes in the breast cancer tumor microenvironment using CorDelSFS feature selection: implications for tumor progression and prognosis.Frontiers in genetics · 2023Article
- Single-cell transcriptome sequencing reveals heterogeneity of gastric cancer: progress and prospects.Frontiers in oncology · 2023Review
- scRNA-seq of gastric tumor shows complex intercellular interaction with an alternative T cell exhaustion trajectory.Nature communications · 2022Article
- Heterogeneity of glioblastoma stem cells in the context of the immune microenvironment and geospatial organization.Frontiers in oncology · 2022Review
- Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.Frontiers in immunology · 2022Review
- Angiogenesis goes computational - The future way forward to discover new angiogenic targets?Computational and structural biotechnology journal · 2022Review
- Discovering Immune-Mediated Mechanisms of Gastric Carcinogenesis Through Single-Cell RNA Sequencing.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) development trends have identified multiple processes ranging from inflammation to carcinogenesis, however, key pathogenic mechanisms remain unclear. Tissue microenvironment (TME) cells are critical for the progression of malignant tumors. Here, we generated a dynamic transcriptome map of various TME cells during multi-disease stages using single-cell sequencing analysis. We observed a set of key transition markers related to TME cell carcinogenic evolution, and delineated landmark dynamic carcinogenic trajectories of these cells. Of these, macrophages, fibroblasts, and endothelial cells exerted considerable effects toward epithelial cells, suggesting these cells may be key TME factors promoting GC occurrence and development. Our results suggest a phenotypic convergence of different TME cell types toward tumor formation processes in GC. We believe our data would pave the way for early GC detection, diagnosis, and treatment therapies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.