Evidence map›Paper›PMID 41229810›Full record

ArticleJournal of thoracic disease2025

Construction and identification of a prognostic and therapeutic signature based on ferroptosis-related oxidative stress genes in lung adenocarcinoma.

Da Yao, Feng Jin, Zhaohua Xia

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. 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

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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

3 authors.

Da Yao *Department of Thoracic Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Feng Jin *Department of Oncology, Peking University Shenzhen Hospital, Shenzhen, China.
Zhaohua XiaDepartment of Thoracic Surgery, The Second Affiliated Hospital of Southern University of Science and Technology, The Third People's Hospital of Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is the leading cause of cancer-associated deaths globally, with lung adenocarcinoma (LUAD) being the predominant type. Ferroptosis, a unique form of iron-dependent programmed cell death that results from lipid peroxidation, plays a critical role in the initiation and progression of LUAD. In this study, we aimed to construct and identify an effective prognostic model that could serve as a potential therapeutic target for LUAD. Methods: The expression of ferroptosis-related genes obtained from FerrDb and oxidative stress-related genes collected from MSigDB were analyzed using data from The Cancer Genome Atlas-LUAD cohort. Least absolute shrinkage and selection operator Cox regression, CoxBoost, random survival forest, and stepwise Cox analyses were performed to screen for suitable gene signatures for modeling. Finally, we developed and verified a novel ferroptosis-and oxidative stress-related risk model. Results: An 11-gene-based prognostic model, comprising Conclusions: We established a novel ferroptosis-related oxidative stress gene-related model that possesses potential predictive value for prognosis of patients with LUAD, immunotherapy response, and chemotherapeutic drug sensitivity, and indicated its potential applicability in clinical practice.

Indexed as

Ferroptosis-related oxidative stress genesimmune responselung adenocarcinoma (LUAD)risk score model

Identifiers

PMID41229810
PMCPMC12603432

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.