Evidence map›Paper›PMID 38388534›Full record

ArticleScientific reports2024

A novel ferroptosis-related gene signature for overall survival prediction in patients with gastric cancer.

Fang Wen, Fan Zhao, Wenjie Huang, Yan Liang, Ruolan Sun, Yize Lin, Weihua Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Fang Wen *Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Fan Zhao *Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Wenjie Huang *Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Yan LiangNanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Ruolan SunNanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Yize LinClinical Laboratory Department, Hospital of the Office of the People's Government of the Tibet Autonomous Region in Chengdu, Chengdu, 850015, Sichuan, China.
Weihua ZhangNanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China. itisvickywen@163.com.

Funding

Nanjing University of Chinese Medicine National Natural Science Foundation Young Scientists Fund Project Matching Fund Project No.XPT82204641National Outstanding Youth Science Fund Project of National Natural Science Foundation of China No.82204641The Fifth Batch of National Traditional Chinese Medicine Excellent Clinical Talents Training Project (Announcement from the Personnel and Education Department of the National Administration of Traditional Chinese Medicine.) No. 2022-239
6 · The paper itself

Abstract

The global diagnosis rate and mortality of gastric cancer (GC) are among the highest. Ferroptosis and iron-metabolism have a profound impact on tumor development and are closely linked to cancer treatment and patient's prognosis. In this study, we identified six PRDEGs (prognostic ferroptosis- and iron metabolism-related differentially expressed genes) using LASSO-penalized Cox regression analysis. The TCGA cohort was used to establish a prognostic risk model, which allowed us to categorize GC patients into the high- and the low-risk groups based on the median value of the risk scores. Our study demonstrated that patients in the low-risk group had a higher probability of survival compared to those in the high-risk group. Furthermore, the low-risk group exhibited a higher tumor mutation burden (TMB) and a longer 5-year survival period when compared to the high-risk group. In summary, the prognostic risk model, based on the six genes associated with ferroptosis and iron-metabolism, performs well in predicting the prognosis of GC patients.

Indexed as

FerroptosisStomach NeoplasmsGene ExpressionHumansIronPrognosisRisk FactorsIron

Identifiers

PMID38388534
PMCPMC10883968

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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.