Cuproptosis-related lncRNAs signature as a potential predictor biomarker for prognosis and immune response in LUAD patients

Author:

Qin Yinyin1,Deng Yanjun1,Wang Mingdeng1,Lin Yuansheng1

Affiliation:

1. Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University

Abstract

Abstract Background: Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer on a global scale, and the patients are suffering from a poor survival outcome. Cuproptosis and long non-coding RNA (lncRNA) are recognized to have significant prognostic value and play important roles in immunotherapy for LUAD. Therefore, identifying cuproptosis-related lncRNAs are vital for the prognosis and treatment of LUAD. Methods: Cuproptosis-related lncRNAs in LUAD were initially screened out. Uni-variate, LASSO and multi-variate Cox regression models were adopted to establish lncRNA signature of prognostic significance for LUAD. Kaplan-Meier survival analysis, principal component analysis (PCA), and functional enrichment analysis were performed. A nomogram based on the signature and clinical features of LUAD was correspondingly constructed. Associations of the lncRNA signature with immunotherapy response and drug sensitivity were explored. Last, mRNA expression of cuproptosis-related lncRNAs in LUAD was verified by qRT-PCR. Results: Four cuproptosis-relatedlncRNAs signature was established and identified as independently prognostic for overall survival of LUAD. In addition, the signature could well differentiate between patients with different responses to immunotherapy. Finally, candidate compounds targeting the signature were identified. Conclusion: Cuproptosis-related lncRNAs signature is expected to be used in clinic in prediction of survival and immunotherapy outcomes in LUAD patients.

Publisher

Research Square Platform LLC

Reference32 articles.

1. Cancer burden of major cancers in China: A need for sustainable actions;Cao M;Cancer Commun (Lond),2020

2. Cancer incidence and mortality patterns in Europe: Estimates for 40 countries and 25 major cancers in 2018;Ferlay J;Eur J Cancer,2018

3. Jurisic V et al. EGFR Polymorphism and Survival of NSCLC Patients Treated with TKIs: A Systematic Review and Meta-Analysis. J Oncol, 2020. 2020: p. 1973241.

4. Genomic Landscape and Immune Microenvironment Features of Preinvasive and Early Invasive Lung Adenocarcinoma;Zhang C;J Thorac Oncol,2019

5. Copper induces cell death by targeting lipoylated TCA cycle proteins;Tsvetkov P;Science,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3