构建铜绿-三羧酸循环相关lncRNA模型预测非小细胞肺癌预后

IF 1.5 4区 医学 Q4 ONCOLOGY
Translational cancer research Pub Date : 2024-12-31 Epub Date: 2024-12-27 DOI:10.21037/tcr-24-660
Xiang Li, Yunlong Zhao, Shengjie Wei, Yuqing Dai, Chun Yi
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引用次数: 0

摘要

背景:在铜中毒中,过量的铜离子通过三羧酸(TCA)循环中的脂肪酰化诱导细胞死亡。然而,cuprotositca相关长链非编码rna (lncRNAs)对非小细胞肺癌(NSCLC)临床预后及相关肿瘤微环境的影响尚不清楚。本研究旨在利用cuprotosis - tca相关lncrna预测NSCLC的预后。方法:利用分子特征数据库和铜腐病相关文献,鉴定铜腐病- tca相关基因。根据Pearson相关分析对其进行识别。与这些lncrna相关的预后特征使用绝对收缩和选择算子和接受者工作特征曲线分析进行评估。此外,通过分析下游功能富集和免疫浸润来检测非小细胞肺癌患者的免疫治疗反应。结果:共鉴定出11个cuprotosis - tca相关的lncrna。根据风险评分将高风险组与低风险组进行比较,高风险组的总生存期(OS)明显较低。我们建立了预后风险概况,并基于这些特征和临床分期,构建了nomogram。功能富集分析揭示了与细胞和体液免疫以及脂肪酰化相关的途径的参与。根据免疫细胞和途径(抗原提呈细胞共刺激),风险评分有显著差异。此外,TP53、TTN和MUC16突变状态与风险评分密切相关,被确定为NSCLC风险较高的患者对免疫治疗更有反应。结论:11个cuprotosis - tca相关lncrna可用于预测NSCLC患者的预后,从而为免疫治疗提供新的理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of a cuproptosis-tricarboxylic acid cycle-associated lncRNA model to predict the prognosis of non-small cell lung cancer.

Background: In cuproptosis, excess copper ions induce cell death via fatty acylation in the tricarboxylic acid (TCA) cycle. However, the effects of cuproptosis-TCA-related long non-coding RNAs (lncRNAs) on the clinical prognosis of non-small cell lung cancer (NSCLC) and the associated tumor microenvironment remain unclear. The purpose of this study is to use cuproptosis-TCA related lncRNAs to predict the prognosis of NSCLC.

Methods: Molecular signature databases and cuproptosis-related publications were made use of identifying cuproptosis-TCA-related genes. They were identified based on Pearson correlation analysis. The prognostic features associated with these lncRNAs were evaluated using the absolute contraction and selection operator and a receiver operating characteristic curve analysis. Additionally, downstream functional enrichment and immunoinfiltration were analyzed to examine the immunotherapeutic responses of patients with NSCLC.

Results: Eleven cuproptosis-TCA-associated lncRNAs were identified. A high-risk group was compared with a low-risk group based on risk scores, and the high-risk group had a significantly lower overall survival (OS). We established a prognostic risk profile, and based on these characteristics and clinical staging, a nomogram was constructed. An analysis of functional enrichment revealed the involvement of pathways associated with cellular and humoral immunity and fatty acylation. Risk scores differed significantly based on immune cells and pathways (antigen-presenting cell co-stimulation). Moreover, TP53, TTN, and MUC16 mutation status were strongly associated with risk scores, with patients identified as having a higher risk of NSCLC being more responsive to immunotherapy.

Conclusions: Eleven cuproptosis-TCA-associated lncRNAs can be used to predict the prognosis of NSCLC patients, thereby providing a new theoretical basis for immunotherapy.

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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
252
期刊介绍: Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.
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