TSPAN32 as a biomarker associated with radiotherapy and immune microenvironment remodeling in lung adenocarcinoma
Introduction: Lung cancer is a high-mortality-rate malignant tumor. Radiotherapy combined with immunotherapy shows great potential in improving patient survival. This study aims to identify gene sets associated with radiotherapy effectiveness and immune infiltration in lung adenocarcinoma (LUAD), construct a prognostic model, and preliminarily evaluate the effectiveness of the key gene TSPAN32 as a predictive diagnostic marker and therapeutic target for LUAD. Methods: experiments were conducted to validate the biological functions of TSPAN32 in LUAD cell lines A549 and H1299. Results: The 12-gene risk score model accurately predicts prognosis and correlates with immune infiltration. TSPAN32, with high weight in the model, can independently predict prognosis and is associated with immune infiltration. TSPAN32 is significantly downregulated in LUAD cells. Its overexpression significantly inhibits the proliferation and migration of A549 and H1299 cells, enhances radiosensitivity, and may exert biological effects through the TSPAN32-PTEN signaling axis. Discussion: These findings suggest that TSPAN32 could serve as a predictive biomarker for LUAD patients who may benefit from combined radiotherapy and immunotherapy, providing a theoretical basis for optimizing treatment strategies and improving patient prognosis.
Authors
- Minglong Chen (ORCID: https://orcid.org/0000-0002-9844-486X)
- Guomin Huang
- Xiaoyan Huang
- Y Huang (ORCID: https://orcid.org/0009-0005-3406-4875)
- Haoyue Hu
- Wei Chen
- Mingying Xiao
- Xin Yang
- Lanlan Guo
- Zhijie Li
- Xuan Li
Institutions
- Sun Yat-sen University (CN)
- Ji Hua Laboratory (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-04-14
- DOI
- https://doi.org/10.3389/fonc.2026.1724489
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sun Yat-sen University Cancer Center