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Updated: Sep 17, 2025
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Integrating single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis to explore
Shun Gao1, Xia Long2, Jiawei Li2
1Department of Oncology, Renshou County People's Hospital, No. 177, Section 1, Longtan Avenue, Huairen Street, Meishan, Sichuan, China.
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 carcinoma is not satisfactory.we used single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysisto look for risk factors that can predict the onset of lung squamous cell carcinoma, the prognosis of lung squamous cell carcinoma patients, and the "star" molecule-Fatty Acid Binding Protein 4 (FABP4) as a mediator of macrophage infiltration in the lung squamous cell carcinoma tumor microenvironment. Overall, this "star" molecule (FABP4) may play an important role in the future prediction and treatment of lung squamous cell carcinoma.We first clarified the role of FABP4 in the occurrence and prognosis of LUSC through single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis. This provides important evidence for the prevention and treatment of LUSC in the future.
