Evidence map›Paper›PMID 42238598›Full record

ArticleFrontiers in immunology2026

MRPL3 is identified as a prognostic biomarker and therapeutic target in lung adenocarcinoma via a lactylation-disulfidptosis gene signature model and experimental validation.

Lan Yin, Rui Tang, Yue Song, Yunqiang Liu, Yongxin Ma

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lan Yin *Department of Medical Genetics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Rui Tang *Department of Medical Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yue SongDepartment of Medical Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yunqiang LiuDepartment of Medical Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yongxin MaDepartment of Medical Genetics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD), the most prevalent histological subtype of lung cancer, is a leading cause of global cancer mortality. Its pronounced heterogeneity poses a critical challenge, creating an urgent need for reliable biomarkers to accurately predict patient prognosis. Here, we focus on two critical tumor-promoting factors: lactylation and disulfidptosis. Methods: Differential expression analysis, correlation analysis, and univariate survival analysis were performed using gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts to screen differentially expressed genes (DEGs), lactylation and disulfidptosis related genes (LDRGs), and prognosis-related genes (PGs). A prognostic model was constructed via LASSO regression, with its efficacy evaluated using calibration plots and decision curve analysis (DCA).The regulatory role of mitochondrial ribosomal protein large subunit 3 (MRPL3) in lung adenocarcinoma (LUAD) progression was validated through both Results: This model demonstrated reliable predictive performance across the testing set, validation set, and external validation cohorts. MRPL3 was found to be overexpressed in LUAD tissues and correlated with poor prognosis, advanced tumor stage, and an immunosuppressive tumor microenvironment. Conclusion: Collectively, this study establishes a robust prognostic model for LUAD and clarifies MRPL3's role in regulating glycolytic-lactate metabolism and disulfidptosis to influence tumor progression and immune microenvironment remodeling. These findings provide a novel potential target and theoretical basis for LUAD prognosis assessment and targeted therapy.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorDisulfidptosisLung NeoplasmsMitochondrial ProteinsRibosomal ProteinsAnimalsCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicePrognosisTranscriptomeBiomarkers, TumorMitochondrial ProteinsRibosomal ProteinsbiomarkersdisulfidptosislactylationLUADMrpl3prediction of prognosis

Identifiers

PMID42238598
PMCPMC13226520

What Socratic holds

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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.