Integrating single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis to explore FABP4 prediction of prognosis and immune microenvironment in patients with lung squamous cell carcinoma

Integrating single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis to explore FABP4 prediction of prognosis and immune microenvironment in patients with lung squamous cell carcinoma

Abstract Lung cancer has a high incidence rate and lung squamous cell carcinoma accounts for about 30% of lung cancer. Due to the lack of accurate diagnosis for early stage lung squamous cell carcinoma and the limitations of treatment methods, the clinical treatment effect of lung squamous cell carc...

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Bibliographic Details
Main Authors: Shun Gao, Xia Long, Jiawei Li, Xialin Zhang, Youhua Wang, Sheng Lin
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Oncology
Subjects:
Single-cell RNA sequencing
Bioinformatics analysis
Mendelian random analysis
Fatty acid binding protein 4
Lung squamous cell carcinoma
Online Access:https://doi.org/10.1007/s12672-025-02774-y
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https://doi.org/10.1007/s12672-025-02774-y

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