Evidence map›Paper›PMID 34868391›Full record

ArticleDisease markers2021

A Novel Ferroptosis-Related Gene Risk Signature for Predicting Prognosis and Immunotherapy Response in Gastric Cancer.

Shi-Jin Liu, Ya-Bing Yang, Jia-Xin Zhou, Yu-Jian Lin, Yun-Long Pan, Jing-Hua Pan

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. The role of metal ions iron, copper, and zinc in the immune microenvironment of gastric cancer.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
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  13. Ferroptosis and its Role in Gastric Cancer.Frontiers in cell and developmental biology · 2022
    Review
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 at 2 institutions in 1 country.

Shi-Jin LiuDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0002-6194-9557
Ya-Bing YangDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0003-2733-8397
Jia-Xin ZhouInternational School, Jinan University, Guangzhou, Guangdong 510632, China.ORCID https://orcid.org/0000-0002-5172-3466
Yu-Jian LinDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
Yun-Long PanDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0002-7434-6560
Jing-Hua PanDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0003-3741-3397
First Affiliated Hospital of Jinan University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is the third leading cause of cancer death worldwide with complicated molecular and cellular heterogeneity. Iron metabolism and ferroptosis play crucial roles in the pathogenesis of GC. However, the prognostic role and immunotherapy biomarker potential of ferroptosis-related genes (FRGs) in GC still remains to be clarified.

methodsWe comprehensively analyzed the prognosis of different expression FRGs, based on gastric carcinoma patients in the TCGA cohort. The functional enrichment and immune microenvironment associated with these genes in gastric cancer were investigated. The prognostic model was constructed to clarify the relation between FRGs and the prognosis of GC. Meanwhile, the ceRNA network of FRGs in the prognostic model was performed to explore the regulatory mechanisms.

resultsGastric carcinoma patients were classified into the A, B, and C FRGClusters with different features based on 19 prognostic ferroptosis-related differentially expressed genes in the TCGA database. To quantify the FRG characteristics of individual patients, FRGScore was constructed. And the research shows the GC patients with higher FRGScore had worse survival outcome. Moreover, thirteen prognostic ferroptosis-related differentially expressed genes (DEGs) were selected to construct a prognostic model for GC survival outcome with a superior accuracy in this research. And we also found that FRG RiskScore can be an independent biomarker for the prognosis of GC patients. Interestingly, GC patients with lower RiskScore had less immune dysfunction and were more likely to respond to immunotherapy according to TIDE value analysis. Finally, a ceRNA network based on FRGs in the prognostic model was analyzed to show the concrete regulation mechanisms.

conclusionsThe ferroptosis-related gene risk signature has a superior potent in predicting GC prognosis and acts as the biomarkers for immunotherapy, which may provide a reference in clinic.

Indexed as

Genetic Predisposition to DiseaseBiomarkers, TumorCohort StudiesFerroptosisGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsNomogramsPrognosisRNA, NeoplasmStomach NeoplasmsBiomarkers, TumorImmune Checkpoint InhibitorsRNA, Neoplasm

Identifiers

PMID34868391
PMCPMC8642032
OpenAlexW3216275606

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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.