Evidence map›Paper›PMID 39967875›Full record

ArticleiScience2025

Single-cell transcriptomics reveals the multidimensional dynamic heterogeneity from primary to metastatic gastric cancer.

Yunpeng Zhang, Kuan Yang, Jing Bai, Jing Chen, Qi Ou, Wenzhe Zhou, Xia Li, Congxue Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
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

8 authors.

Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Kuan YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Jing BaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Jing ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Qi OuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Wenzhe ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Congxue HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reprogramming of the tumor microenvironment (TME) plays a critical role in gastric cancer (GC) progression and metastasis. However, the multidimensional features between primary tumors and organ-specific metastases remain poorly understood. In this study, we characterized the dynamic heterogeneity of GC from primary to metastatic stages. We identified seven major cell types and 27 immune and stromal subsets. Immune cells decreased, while immunosuppressive cells increased in ovarian and peritoneal metastases. A 30-gene signature for ovarian metastasis was validated in GC cohorts. Additionally, critical ligand-receptor interactions, including

Indexed as

Biological sciencesCancerTranscriptomics

Identifiers

PMID39967875
PMCPMC11834116

What OpenQuestion holds

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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.