Evidence map›Paper›PMID 41282991›Full record

ArticlePeerJ2025

Identification of mitochondrial-related genes to evaluate the immune infiltration and prognosis of lung adenocarcinoma.

Yutong Ge, Ao Sun, Tao Yu, Shaokun Yu, Kaihua Lu

Abstract read
In one paragraph

Article in PeerJ, 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

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

1 citing paper in PubMed.

  1. Article
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.

Yutong Ge *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-6375-7559
Ao Sun *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0009-0008-5501-7631
Tao YuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shaokun YuDepartment of Oncology Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.
Kaihua LuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondrial dysfunction critically impacts lung adenocarcinoma (LUAD) progression and tumor microenvironment (TME) remodeling, highlighting the urgent need to identify predictive biomarkers with clinical utility. Methods: RNA-seq data sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed to identify mitochondrial-related (MTR) genes associated with LUAD progression. A three-gene prognostic signature, consisting of SFXN1, CPS1, and MTFR2, was developed through univariate, Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate Cox regression analyses. Functional enrichment, immune infiltration, and tumor mutation burden (TMB) analyses were performed to characterize the TME. Experimental studies were conducted in LUAD cell lines Results: The signature stratified patients into high-risk and low-risk groups with significant survival differences (TCGA: HR = 1.476, Conclusion: This study has successfully established a mitochondrial-related prognostic signature that predicts survival outcomes and immune phenotypes of LUAD patients, providing a clinically relevant predictive tool and laying the foundation for developing mitochondrial-targeted therapeutic strategies.

Indexed as

Adenocarcinoma of LungLung NeoplasmsMitochondriaBiomarkers, TumorCell Line, TumorDNA, MitochondrialFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisTumor MicroenvironmentBiomarkers, TumorDNA, MitochondrialImmune infiltrationLung adenocarcinomaMitochondrial-related genesPrognostic signature

Identifiers

PMID41282991
PMCPMC12637038

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.