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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 |
doi: 10.3389/fimmu.2025.1477437
This article is part of the Research Topic Non-coding RNAs as Potential Therapeutics and Biomarkers for Human Diseases View all 6 articles
A Prognostic Signature of Glutathione Metabolism-Associated Long Non-Coding RNAs for Lung Adenocarcinoma with Immune Microenvironment Insights
Provisionally accepted- 1 Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
- 2 Department of Thoracic Surgery, Northern Jiangsu People’s Hospital Affiliated to Yangzhou, Yangzhou, Jiangsu Province, China
- 3 Dalian Medical University, Dalian, China, Dalian, Liaoning Province, China
Background: Glutathione (GSH) metabolism supports tumor redox balance and drug resistance, while long non-coding RNAs (lncRNAs) influence lung adenocarcinoma (LUAD) progression. This study developed a prognostic model using GSH-related lncRNAs to predict LUAD outcomes and assess tumor immunity.Methods: This study analyzed survival data from The Cancer Genome Atlas (TCGA) and identified GSH metabolism-related lncRNAs using Pearson correlation. A prognostic model was built with Cox and Least Absolute Shrinkage and Selection Operator (LASSO) methods and validated by Kaplan-Meier analysis, Receiver Operating Characteristic (ROC) curves, and Principal Component Analysis (PCA). Functional analysis revealed immune infiltration and drug sensitivity differences.Quantitative PCR and experimental studies confirmed the role of lnc-AL162632.3 in LUAD.
Keywords: Lung Adenocarcinoma, Glutathione metabolism, lncRNA, Prognostic prediction, immune microenvironment Our model included a total of nine lncRNAs, namely AL162632.3, AL360270.1, LINC00707
Received: 07 Aug 2024; Accepted: 20 Jan 2025.
Copyright: © 2025 Hu, Tian, Liu, Hou, Wu, Wang and Shu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shuyu Tian, Dalian Medical University, Dalian, China, Dalian, Liaoning Province, China
Qingwen Liu, Dalian Medical University, Dalian, China, Dalian, Liaoning Province, China
Jiaqi Hou, Dalian Medical University, Dalian, China, Dalian, Liaoning Province, China
Jun Wu, Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
Xiaolin Wang, Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
Yusheng Shu, Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
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