Prognostic and therapeutic potential of copper-induced cell death-related lncRNAs in lung squamous cell carcinoma
- Zhe Tian 1,2, Lilan Cen 3, Haoming Hua 4, Feng Wei 1,2, Jue Dong 1,2, Yulan Huang 1,2, Zhibo Wang 1,2, Junhua Deng 1,2, Yujie Jiang 5,6
- Zhe Tian 1,2, Lilan Cen 3, Haoming Hua 4
- 1Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18, Zhongshan 2 Road, Youjiang District, Baise, 533000, Guangxi, China.
- 2Life Science and Clinical Medicine Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18, Zhongshan 2 Road, Youjiang District, Baise, 533000, Guangxi, China.
- 3Guangxi Academy of Medical Sciences, Department of Infectious Disease, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, China.
- 4Department of Pathology, The Second People's Hospital of Bengbu, Bengbu, 233400, China.
- 5Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18, Zhongshan 2 Road, Youjiang District, Baise, 533000, Guangxi, China. jiangyujie@ymcn.edu.
- 6Life Science and Clinical Medicine Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18, Zhongshan 2 Road, Youjiang District, Baise, 533000, Guangxi, China. jiangyujie@ymcn.edu.
- 0Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18, Zhongshan 2 Road, Youjiang District, Baise, 533000, Guangxi, China.
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View abstract on PubMed
Summary
This summary is machine-generated.New biomarkers, copper-induced cell death-related long non-coding RNAs (lncRNAs), predict outcomes in lung squamous cell carcinoma (LUSC). A risk model stratifies patients, guiding personalized immunotherapy and targeted drug treatments for improved lung cancer care.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Lung squamous cell carcinoma (LUSC) presents significant treatment challenges due to poor prognosis and limited therapeutic avenues.
- Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in cancer development and progression.
Purpose Of The Study
- To identify and validate copper-induced cell death-related lncRNAs as prognostic markers in LUSC.
- To develop a risk stratification model for predicting patient outcomes and response to immunotherapy.
- To explore the therapeutic implications of identified lncRNAs for personalized treatment strategies in LUSC.
Main Methods
- Utilized The Cancer Genome Atlas (TCGA) database for LUSC patient data.
- Identified five key lncRNAs (AC010328.1, LINC01740, AL358613.2, MIR3945HG, AC002467.1) as independent prognostic markers.
- Developed a risk score model and Nomogram integrating lncRNA expression and clinical factors; performed survival, functional enrichment, tumor mutation burden, and immune dysfunction analyses.
Main Results
- A five-lncRNA signature effectively stratified LUSC patients into high- and low-risk groups with distinct overall survival.
- High-risk patients demonstrated increased immune evasion, poorer immunotherapy response, and sensitivity to targeted drugs (Quizartinib, Dasatinib).
- The developed Nomogram showed robust predictive accuracy for 1-, 3-, and 5-year survival outcomes in LUSC.
Conclusions
- Copper-induced cell death-related lncRNAs serve as novel, independent prognostic biomarkers for LUSC.
- The risk score model and Nomogram offer valuable tools for prognostic assessment and patient stratification.
- Findings provide actionable insights for optimizing immunotherapy and targeted therapy selection in LUSC management.
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