ArticleiMeta2025
Single-cell sequencing reveals the role of
Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Reframing early gastric carcinogenesis through lineage, niche, and evolution.Cancer metastasis reviews · 2026Review
- Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.BMC gastroenterology · 2026Article
- Refined Jianpi Huayu Jiedu Decoction Attenuates TAM-Induced Spasmolytic Polypeptide-Expressing Metaplasia (SPEM) by Modulating LCN2-Associated Mitochondrial Dysfunction.Pharmaceuticals (Basel, Switzerland) · 2026Article
- KRAB Zinc-Finger Protein ZNF205 Promotes Hepatocellular Carcinoma via p53 Pathway Repression.Cancer science · 2026Article
- A large-scale single-cell transcriptomic atlas indicates the immune panorama of influenza A infection.iMeta · 2026Article
- Integrative single-cell analysis revealsFrontiers in immunology · 2026Article
- From Tumor Biology to Clinical Perspectives: Novel Biomarkers and Therapeutic Insights in Gastric Cancer.Oncology research · 2026Review
- Research Progress Regarding the Use of Single-Cell Sequencing Technology in Analyzing Tumor Endothelial Cell Pathophysiology.International journal of molecular sciences · 2025Review
- Single-cell sequencing reveals the role ofiMeta · 2025Article
- Modeling the pre-metastatic niche of gastric cancer peritoneal metastasis under spatiotemporal resolution and investigating EVs-mediated immune suppression.Frontiers in immunology · 2025Review
- [Insights into the occurrence and heterogeneity of gastric cancer from the perspective of clinical data integration].Nan fang yi ke da xue xue bao = Journal of Southern Medical UniversityReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early gastric cancer (EGC) represents a critical stage in preventing and controlling the progression from gastritis to advanced gastric cancer (AGC). Therefore, identifying the single-cell characteristics of EGC, particularly the cellular composition of the tumor microenvironment (TME), as well as identifying potential predictive markers and therapeutic targets, could significantly enhance the monitoring of gastric cancer and improve clinical cure rates. We constructed a comprehensive single-cell RNA sequencing atlas for 184,426 high-quality gastric cancer cells from various stages, utilizing clinical biopsies and surgical samples. Our single-cell atlas highlights the cellular and molecular characteristics of EGC. Eight distinct cell lineage states were identified, and it was observed that the number of epithelial cell meta-clusters gradually decreased, while the number of T&NK, B, plasma, fibroblast, myeloid, and endothelial cells increased with disease progression. Certain epithelial subclusters (metaplastic stem-like cells (MSCs), pit mucous-like cells (PMC-like), proliferating cells), T-cell subclusters (T
Indexed as
Identifiers
What OpenQuestion holds
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.