Evidence map›Paper›PMID 41666167›Full record

ArticlePloS one2026

Sphingolipid metabolism-related genes B4GALNT1 and CERS4 as prognostic biomarkers in lung adenocarcinoma.

Jieun Jeon, Junho Kang, Jae-Hyung Park, Jae-Ho Lee, Dong Eun Kim, Woo-Jae Park, Shin Kim

Abstract read
In one paragraph

Article in PloS one, 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

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jieun JeonDepartment of Immunology, School of Medicine, Keimyung University, Daegu, Republic of Korea.ORCID https://orcid.org/0009-0008-3211-536X
Junho KangDepartment of Research, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea.
Jae-Hyung ParkDepartment of Physiology, School of Medicine, Keimyung University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-3549-5977
Jae-Ho LeeDepartment of Anatomy, School of Medicine, Keimyung University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-5562-0720
Dong Eun KimDepartment of Immunology, School of Medicine, Keimyung University, Daegu, Republic of Korea.
Woo-Jae ParkDepartment of Biochemistry, Chung-Ang University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5770-7096
Shin KimDepartment of Immunology, School of Medicine, Keimyung University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-1099-5027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sphingolipid metabolism is an important component of various biological processes, particularly in cancer pathology. This metabolic pathway significantly influences the behavior of cancer cells by regulating growth, apoptosis, and survival. Although modulating sphingolipid metabolism has attracted attention as a novel therapeutic strategy, its complexity and specific mechanisms remain incompletely understood. In the current study, transcriptomic profiling was employed to compare the expression of sphingolipid metabolism-related genes between normal solid tissues and lung adenocarcinoma tissues. Additionally, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes enrichment, and protein-protein interaction (PPI) analyses were performed to investigate the functional relevance of these genes. Twelve sphingolipid metabolism-related genes formed a highly interconnected core, suggesting their potential central role within the regulatory network. Four genes were found to be significantly correlated with overall survival. Notably, B4GALNT1 upregulation and CERS4 downregulation correlated with advanced tumor stage and metastasis. They also showed prognostic significance in Cox regression analyses, and these findings were consistently validated in an independent cohort. In vitro, within lung adenocarcinoma cell lines, B4GALNT1 knockdown and CERS4 overexpression suppressed cell proliferation, migration, and epithelial-to-mesenchymal transition, supporting their roles in lung adenocarcinoma progression. These findings highlight B4GALNT1 and CERS4 as potential prognostic biomarkers and therapeutic targets in lung adenocarcinoma, warranting further clinical investigation.

Indexed as

AdenocarcinomaAdenocarcinoma of LungBiomarkers, TumorLung NeoplasmsSphingolipidsSphingosine N-AcyltransferaseCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorSphingolipidsSphingosine N-Acyltransferase

Identifiers

PMID41666167
PMCPMC12890170

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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.