Evidence map›Paper›PMID 40672941›Full record

ArticleFrontiers in immunology2025

Multi-omics analysis reveals glutathione metabolism-related immune suppression and constructs a prognostic model in lung adenocarcinoma.

Yuxiang Chi, Guoyuan Ma, Qiang Liu, Yunzhi Xiang, Defeng Liu, Jiajun Du

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuxiang Chi *Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Guoyuan Ma *Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qiang LiuInstitute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Yunzhi XiangInstitute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Defeng LiuCheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Jiajun DuInstitute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic reprogramming within the tumor microenvironment plays a pivotal role in tumor progression and therapeutic responses. Nevertheless, the relationship between aberrant glutathione (GSH) metabolism and the immune microenvironment in lung adenocarcinoma, as well as its clinical implications, remains unclear. Methods: We leveraged genome-wide association study (GWAS) data and applied genetic causal analysis to evaluate the causal relationships among plasma 5-oxoproline levels, lung adenocarcinoma (LUAD) risk, and 731 immune phenotypes. We incorporated single-cell RNA sequencing data from LUAD to compare transcription factor activity, cell communication networks, and CD8 Results: Genetic causal analysis indicated a positive correlation between plasma 5-oxoproline levels and LUAD risk. ScRNA-seq analysis revealed an increased proportion of exhausted CD8 Conclusions: GSH metabolic reprogramming may suppress antitumor immunity by modulating transcription factor activity, remodeling cell communication networks, and regulating CD8+ T cells. The prognostic risk model developed herein effectively predicts immunotherapeutic response, drug sensitivity, and overall survival in patients with LUAD.

Indexed as

Adenocarcinoma of LungGlutathioneLung NeoplasmsBiomarkers, TumorCD8-Positive T-LymphocytesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansMultiomicsPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorGlutathioneglutathione metabolismimmunotherapymulti-omicsprognostic modelsingle-cell sequencing

Identifiers

PMID40672941
PMCPMC12263636

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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.