Evidence map›Paper›PMID 41080548›Full record

ArticleFrontiers in immunology2025

Protein phosphorylation regulation of key genes in oral squamous cell carcinoma and their role in the immune microenvironment.

Yu Zeng, Chunyang Wang, Wenli Zhao, Ye Zhao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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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0citing papers 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yu ZengDepartment of Stomatology, Tianjin Medical University General Hospital, Tianjin, China.
Chunyang WangDepartment of Scientific Research, Tianjin Medical University General Hospital, Tianjin, China.
Wenli ZhaoInstitute of Chinese Medicine, Yanting County People's Hospital, Yanting, China.
Ye ZhaoInternational College, Krirk University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors in the head and neck region, with a complex molecular mechanism that has not yet been fully elucidated. This study aims to identify key genes closely associated with the development and progression of OSCC through integrative multi-omics data analysis and to explore the potential roles of these genes in protein phosphorylation regulation and the immune microenvironment, providing new insights for precision diagnosis and treatment. Methods: The study integrated data from National Center for Biotechnology Information (NCBI) and National Institutes of Health (NIH) sources, combining differential expression gene analysis and co-expression network construction to identify candidate genes significantly associated with phosphorylation status. Key genes were further screened, and molecular subtyping of samples was performed based on gene expression patterns. Additionally, the association between key genes and immune microenvironment characteristics was evaluated, and Mendelian randomization (MR) was employed to investigate the impact of genetic variants on disease risk. Results: The analysis revealed multiple significantly differentially expressed genes, primarily enriched in pathways related to cell cycle regulation, signal transduction, and metabolism. Five key genes-BMP2, FN1, INHBA, MMP9, and THY1-were ultimately identified. These genes exhibited subtype-specific expression patterns across different molecular subtypes and were closely associated with immune cell infiltration levels. Furthermore, functional validation demonstrated that FN1 was significantly linked to OSCC occurrence at the genetic level. Conclusion: This study identified key genes and molecular subtypes associated with OSCC, highlighting their potential links to protein phosphorylation and the immune microenvironment. Among these, FN1 may serve as a potential risk gene and a candidate biomarker, providing novel insights into the molecular mechanisms of OSCC.

Indexed as

Carcinoma, Squamous CellGene Expression Regulation, NeoplasticMouth NeoplasmsSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentBiomarkers, TumorFibronectinsGene Expression ProfilingGene Regulatory NetworksHumansPhosphorylationBiomarkers, TumorFibronectinsFN1 protein, humanFN1immune microenvironmentmolecular subtypingmulti-omics analysisoral squamous cell carcinoma

Identifiers

PMID41080548
PMCPMC12510929

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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.