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Published on: November 17, 2018
Cholesterol metabolism in LUAD progression: GJB3 as a key target for cell‑based therapeutic interventions
Qihang Yan1, Wuguang Chang2, Wingshing Wong1
1State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat‑sen University Cancer Center, Guangzhou, Guangdong 510060, P.R. China.
Abstract:
Cholesterol metabolism reprogramming serves a pivotal role in tumor onset and progression. The present study investigated lung adenocarcinoma (LUAD), focusing on the regulatory impact of cholesterol metabolism‑related genes (CMRGs). Consensus clustering identified distinct cholesterol metabolism‑related clusters in LUAD, followed by survival analysis and immune infiltration profiling for each cluster. A predictive model, constructed using cluster‑specific differentially expressed genes and the LASSO algorithm, was validated with an independent dataset. Furthermore, the model was utilized to predict potential responses to immunotherapy and chemotherapy for patients with LUAD. The functional role of the key gene GJB3 in LUAD progression was confirmed through in vitro experiments. Two distinct cholesterol metabolism‑related clusters were identified, exhibiting significant differences in prognosis, biological function and immune cell infiltration. A survival model, based on four genes, demonstrated strong predictive performance across multiple datasets. The low‑risk group showed improved responses to immunotherapy, while the high‑risk group exhibited heightened sensitivity to chemotherapy. In vitro assays revealed that GJB3 knockdown suppressed LUAD cell proliferation and invasion, significantly reducing the expression of epithelial‑mesenchymal transition‑related genes. These findings highlight CMRGs as potential prognostic biomarkers and suggest a foundation for personalized treatment strategies in LUAD.
Insights
Cholesterol metabolism reprogramming impacts lung adenocarcinoma (LUAD) progression. This study identified LUAD clusters based on cholesterol metabolism genes, developing a model predicting patient prognosis and treatment response, with GJB3 showing functional relevance.
Area of Science:
- Oncology
- Molecular Biology
- Metabolism
Background:
- Reprogramming of cholesterol metabolism is crucial in tumor development and progression.
- Lung adenocarcinoma (LUAD) is a significant form of lung cancer where metabolic alterations are increasingly recognized.
Purpose of the Study:
- To investigate the regulatory impact of cholesterol metabolism-related genes (CMRGs) in LUAD.
- To identify distinct patient clusters based on CMRGs and develop a predictive survival model.
- To explore the potential of CMRGs as biomarkers for prognosis and treatment response in LUAD.
Main Methods:
- Consensus clustering was applied to LUAD patient data based on CMRGs.
- Survival analysis and immune infiltration profiling were performed for identified clusters.
- A predictive model was built using LASSO regression on differentially expressed genes and validated independently.
- In vitro experiments assessed the functional role of the gene GJB3 in LUAD progression.
Main Results:
- Two distinct clusters of LUAD patients based on CMRGs were identified, differing in prognosis, biological pathways, and immune infiltration.
- A four-gene survival model demonstrated robust predictive accuracy across multiple datasets.
- The low-risk group predicted better immunotherapy response, while the high-risk group showed increased chemotherapy sensitivity.
- GJB3 knockdown inhibited LUAD cell proliferation and invasion, downregulating epithelial-mesenchymal transition markers.
Conclusions:
- Cholesterol metabolism-related genes are significant in LUAD pathogenesis and can define distinct patient subgroups.
- The developed survival model offers a promising tool for predicting prognosis and guiding personalized treatment strategies in LUAD.
- GJB3 plays a functional role in LUAD progression, suggesting its potential as a therapeutic target.
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