Evidence map›Paper›PMID 40954153›Full record

ArticleScientific reports2025

Comprehensive analysis of the tumor immune microenvironment in gastric cancer and peritoneal metastasis based on single-cell RNA sequencing analysis.

Wenhao Sun, Zhiwei Jiang, Zhengming Deng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wenhao SunDepartment of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.ORCID http://orcid.org/0009-0003-1417-9056
Zhiwei JiangDepartment of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. surgery@34.com.ORCID http://orcid.org/0009-0009-2316-3850
Zhengming DengDepartment of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. dengzhengming2023@163.com.ORCID http://orcid.org/0009-0009-3752-8638

Funding

Key Discipline Construction Project of Jiangsu Provincial Health Commission: Traditional Chinese Surgery ZDXK202251National Natural Science Foundation of China 82074432Natural Science Foundation of Nanjing University of Chinese Medicine XZR2020017Open Research Fund of China National Clinical Research Base for Traditional Chinese Medicine (Jiangsu Province Hospital of Chinese Medicine JD2023SZ11
6 · The paper itself

Abstract

The development and metastasis of gastric cancer are complex processes involving the TME (Tumor microenvironment) and the interactions between various cell types. Here, we investigated the molecular mechanisms and biological processes underlying gastric cancer and its metastasis using single cell RNA-sequencing (scRNA-seq) with the aim of identifying new targets and approaches for clinical treatment. R version 4.4.1 and the SeuratV5 package were used to process 20 scRNA-seq samples sourced from the GEO database. Highly variable genes were selected for GO (Gene Ontology), KEGG (Kyoto Encyclopedia of Genes and Genomes) and GSAV (Gene set variation analysis) enrichment analyses. CytoTRACE, CellChat, and Monocle3 analyses were conducted to investigate cell communication and pseudotemporal dynamics in the PM (Peritoneal Metastasis) and GC (Gastric Cancer) groups. Additionally, the prognostic significance of key genes was assessed by integrating data from the TCGA clinical database. A total of 2,626,594 peritoneal metastasis cells and 17,894 gastric cancer cells were identified, revealing 13 distinct cell clusters. Gene enrichment analyses identified high expression in several pathways (P53, Wnt and JAK-STAT3) in TAMs and mast cells. Cell communication was more robust in the GC group than the PM group, with TAMs (Tumor-associated Macrophages) and mast cells showing elevated expression of the CCL5-CCR1 ligand-receptor signaling axis in both groups. Pseudotemporal analysis demonstrated the differentiation potential of TAMs into mast cells, with APOC1, C1QB, FCN1, FTL, S100A9, CD1C, CD1E and FCER1A identified as the top eight genes driving this process. High expression levels of these genes, along with CCL5 and CCR1, were associated with poor long-term survival in cancer patients. scRNA-seq identified the intricate tumor immune microenvironment, highlighting the pivotal roles of TAMs and mast cells in gastric cancer peritoneal metastasis. The CCL5-CCR1 pathway emerged as a potential immune checkpoint, offering novel insights for future immunotherapeutic and targeted therapeutic strategies in the treatment of gastric cancer peritoneal metastasis.

Indexed as

Peritoneal NeoplasmsSingle-Cell AnalysisStomach NeoplasmsTumor MicroenvironmentBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSequence Analysis, RNABiomarkers, TumorBioinformaticsGastric cancerPeritoneum metastasisSingle-cell RNA sequenceTumor immunization

Identifiers

PMID40954153
PMCPMC12436636

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Registered trials

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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.