Evidence map›Paper›PMID 40953006›Full record

ArticlePloS one2025

Construction and validation of a prognostic model based on mitochondria-associated endoplasmic reticulum membranes gene signature in LUAD patients.

Qichen Zhang, Caihong Fu, Shasha Liu, Yue Leng, Ling Duan, Na Wang, Longxia Zhang, Hui Qiao

Abstract readValidation Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qichen ZhangThe First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
Caihong FuDepartment of Respiratory Oncology, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China.
Shasha LiuDepartment of Pathology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Yue LengThe First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
Ling DuanDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Na WangDepartment of Oncology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, China.
Longxia ZhangDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Hui QiaoDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.ORCID 0000-0003-2347-4826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial-associated endoplasmic reticulum membranes (MAM) are implicated in various malignancies, but their prognostic value in lung adenocarcinoma (LUAD) remains underexplored.

methodsThe Cancer Genome Atlas (TCGA) and GeneCards databases provided LUAD patient data and MAM-related genes. Differentially expressed genes (DEGs) were identified using the "Limma" package. Enrichment analyses included Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Variation Analysis (GSVA), and Gene Set Enrichment Analysis (GSEA). A prognostic risk model based on MAM genes was constructed using univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses, validated by Receiver Operating Characteristic (ROC) curve analysis. PPI explored intergene relationships, while immune infiltration analysis investigated underlying mechanisms. The Human Protein Atlas (HPA) validated key gene protein expression, and drug sensitivity was analyzed using the Gene Set Cancer Analysis (GSCA) database. Finally, we also performed immunohistochemistry (IHC) staining in the tissue samples.

resultsA prognostic risk model with 3 MAM genes (ERO1A, SHC1, CCT6A) was established from 194 DEGs-MAM. Kaplan-Meier analysis showed significantly longer OS in the low-risk group. Enrichment analyses indicated MAM genes were primarily involved in immune-related pathways. TIMER analysis linked the 3 MAM genes with immune cell infiltration (CD8 + T cells, CD4 + T cells, B cells, macrophages). Expression and prognostic analyses revealed high expression of these mRNAs and proteins in LUAD tissues.

conclusionsThis study constructed a prognostic risk model for LUAD based on 3 MAM genes, revealing a potential link between MAM genes and LUAD, offering new insights into clinical treatment and prognosis.

Indexed as

Adenocarcinoma of LungEndoplasmic ReticulumLung NeoplasmsMitochondriaBiomarkers, TumorDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMalePrognosisTranscriptomeBiomarkers, Tumor

Identifiers

PMID40953006
PMCPMC12435658

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