Evidence map›Paper›PMID 38025952›Full record

ArticleJournal of translational internal medicine2023

A new ferroptosis-related signature model including messenger RNAs and long non-coding RNAs predicts the prognosis of gastric cancer patients.

Yang Liu, Yanqing Liu, Shujun Ye, Huijin Feng, Lianjun Ma

Open access · hybridAbstract read
In one paragraph

Article in Journal of translational internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
15.1field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. The regulatory role ofOncology research · 2025
    Pooled it
  2. Article
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  7. Review
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  9. Article
  10. Targeting ferroptosis inInternational journal of oncology · 2026
    Review
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  20. hnRNPA2B1 restrains granulosa cell ferroptosis by mJournal of ovarian research · 2025
    Article

3 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Yang LiuEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China.
Yanqing LiuHerbert Irving Comprehensive Cancer Center, Columbia University, New York 10032, NY, USA.
Shujun YeEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China.
Huijin FengHerbert Irving Comprehensive Cancer Center, Columbia University, New York 10032, NY, USA.
Lianjun MaEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China.ORCID https://orcid.org/0000-0002-9063-6322
Jilin University · CNColumbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Gastric cancer (GC) is among the most malignant tumor types, which causes heavy healthy and economic burden to the people and societies all around the world. Establishment of an effective set of prognostic marker will benefit a lot to the treatment of GC patients clinically. Ferroptosis is a newly identified regulated cell death modality, with tight relevance with GC development. However, its application in the prognosis of GC has not been studied in detail. Deregulated messenger RNA (mRNA) and long non-coding RNA (lncRNA) expression profile in tumor can serve as novel prognostic marker for predicting the survival and cancer relapse in patients. Methods: We downloaded ferroptosis-related gene expression microarray data, clinicopathologic information and a list of 259 ferroptosis-related genes from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Ferroptosis database, respectively. Then, correlation analysis, univariate and multivariate Cox regression analysis were used to construct a novel prognostic model for GC. Then, we validated the model in the GEO datasets. Finally, we evaluated the differences in immune microenvironment between high- and low-risk groups. Results: We utilized the ferroptosis-related mRNA and lncRNA profile to successfully construct a prognostic model (incorporating 2 mRNAs and 15 lncRNAs) in GC. Our model, integrating diverse clinical traits and critical factors of GC, showed desirable efficacy in the prognosis of GC patients. This model also manifested effectively in validation by using external patients' data. Conclusions: Our study developed a novel ferroptosis-related signature to predict the prognosis of gastric cancer patients. The ferroptosis-related signature had a favorable predictive ability. This model may greatly boost the treatment of GC patients in clinical practice.

Indexed as

ferroptosisgastric cancerlong non-coding RNAmessenger RNAprognostic modeltumor biomarkers

Identifiers

PMID38025952
PMCPMC10680379
OpenAlexW4388050957

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.