Evidence map›Paper›PMID 37066015›Full record

ArticleFrontiers in surgery2023

Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer.

Li-Hong Wu, Xiang-Xu Wang, Yan Wang, Jing Wei, Zi-Rong Liang, Xi Yan, Jun Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. ComprehensiveOncology reports · 2025
    Review
  5. A Prognostic Riskscore Model Related toInternational journal of genomics · 2025
    Article
  6. Article
  7. 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

7 authors at 2 institutions in 1 country.

Li-Hong WuXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Xiang-Xu WangXijing Hospital, Fourth Military Medical University, Xi'an, China.
Yan WangXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Jing WeiXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Zi-Rong LiangXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Xi YanXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Jun WangXijing 986 Hospital Department, Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer (GC) is an aggressive malignant tumor with a high degree of heterogeneity, and its immune microenvironment is closely associated with tumor growth, development and drug resistance. Therefore, a classification system of gastric cancer based explicitly on the immune microenvironment context might enrich the strategy for gastric cancer prognosis and therapy. Methods: A total of 668 GC patients were collected from TCGA-STAD ( Results: The patients classified as immunity-H subtype exhibited highly expressed immune checkpoint and HLA-related genes, with enriched naïve B cells, M1 macrophages and CD8 T cells. We further constructed and validated a 7-gene (CTLA4, CLDN6, EMB, GPR15, ENTPD2, VWF and AKR1B1) prognosis signature, termed as IMPS. The patients with higher IMPS expression were more likely to be associated with higher pathology grade, more advanced TNM stages, higher T and N stage, and higher ratio of death. In addition, the prediction values of the combined nomogram in predicting 1-year (AUC = 0.750), 3-year (AUC = 0.764) and 5-year (AUC = 0.802) OS was higher than IMPS and individual clinical characteristics. Conclusions: The IMPS is a novel prognosis signature associated with the immune microenvironment and clinical characteristics. The IMPS and the combined nomogram model provide a relatively reliable predictive index for predicting the survival outcomes of gastric cancer.

Indexed as

gastric cancerimmune microenvironmentnomogramprognosis signaturessGSEA analysis

Identifiers

PMID37066015
PMCPMC10102374
OpenAlexW4362520058

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.