Evidence map›Paper›PMID 41438490›Full record

ArticleHuman mutation2025

Development of Novel PANoptosis-Related Gene Signatures to Predict the Prognosis of Patients With Stomach Adenocarcinoma.

Xin Wu, Linde Sun, Peifa Liu, Qiong Wang, Yu Wang, Sujit Nair

Abstract read
In one paragraph

Article in Human mutation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Xin WuDepartment of General Surgical Medicine, The First Medical Center of PLA Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-8521-9903
Linde SunDepartment of General Surgical Medicine, The First Medical Center of PLA Hospital, Beijing, China.ORCID https://orcid.org/0009-0007-2976-5188
Peifa LiuDepartment of General Surgical Medicine, The First Medical Center of PLA Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9629-5135
Qiong WangPathology Department, The First Medical Center of PLA Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-4345-3726
Yu WangPathology Department, The First Medical Center of PLA Hospital, Beijing, China.ORCID https://orcid.org/0009-0001-8389-7022
Sujit NairDepartment of General Surgical Medicine, The First Medical Center of PLA Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PANoptosis, as an inflammatory programmed cell death, is involved in tumor development. This study set out to discover novel PANoptosis-correlated prognostic signatures in stomach adenocarcinoma (STAD), a prevalent malignancy of the digestive system. Methods: STAD samples were derived from a public database, and PANoptosis-related genes (PRGs) were acquired from existing reports. Prognosis-related PRGs were screened by univariate Cox regression analysis. Molecular subtypes of STAD were identified by the "ConsensusClusterPlus" package. The "Limma" package was employed to filter differentially expressed genes (DEGs) between different subtypes. PANoptosis-related prognostic signatures in STAD were identified to establish the RiskScore model. The RiskScore and some of the clinical features were integrated to establish a nomogram. Immune cell infiltration and TIDE score in different risk groups were compared. Correlation between immune checkpoint genes, drug sensitivity, and RiskScore was analyzed by the Spearman method. The biological function of PANoptosis-related signature genes in STAD was preliminarily explored by in vitro cell experiments. Results: Based on 18 prognosis-related PRGs, two molecular subtypes of STAD were recognized, and the C1 subtype showed a lower overall survival (OS) rate than the C2 subtype. Further, three PANoptosis-related signature genes ( Conclusion: This study established a PANoptosis-related RiskScore model for assessing STAD patient prognosis, which could contribute to the personalized treatment of STAD.

Indexed as

AdenocarcinomaBiomarkers, TumorStomach NeoplasmsTranscriptomeCell Line, TumorComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleNomogramsPlasminogen Activator Inhibitor 1PrognosisBiomarkers, TumorPlasminogen Activator Inhibitor 1molecular subtypePANoptosisprognostic signatureRiskScorestomach adenocarcinomatumor microenvironment

Identifiers

PMID41438490
PMCPMC12719402

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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.