Crosstalk among disulfidptosis-related lncRNAs in lung adenocarcinoma reveals a correlation with immune profile and clinical prognosis

IF 5.9 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shifeng Liu , Song Wang , Jian Guo , Congxiao Wang , Hao Zhang , Dongliang Lin , Yuanyong Wang , Xiaokun Hu
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引用次数: 0

Abstract

Disulfidptosis refers to a specific programmed cell death process characterized by the accumulation of disulfides. It has recently been reported in several cancers. However, the impact of disulfidptosis-related long non-coding RNAs (lncRNAs) on malignant tumors has remained largely unknown. In the present work, we screened prognostic disulfidptosis-related lncRNAs and studied their effects on lung adenocarcinoma. Relevant clinical data of lung adenocarcinoma cases were retrieved from The Cancer Genome Atlas (TCGA) database. RNA sequencing was used to identify differentially expressed disulfidptosis-related lncRNAs within lung adenocarcinoma. In addition, prognostic disulfidptosis-related lncRNAs were obtained through univariate Cox regression analysis. LASSO-COX was used to construct new disulfidptosis-related lncRNA signatures. Different statistical approaches were used to validate the practicability and accuracy of the disulfidptosis-related lncRNAs signatures. Furthermore, several bioinformatic approaches were used to study relevant heterogeneities in biological processes and pathways of diverse risk groups. Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) was conducted to analyze the expression of disulfidptosis-related lncRNAs. Finally, seven disulfidptosis-related lncRNA signatures were identified in lung adenocarcinoma cells. The prognosis prediction model constructed efficiently predicted patient survival. Subgroup analysis revealed significant differences in immune cell proportion, including T follicular helper cells and M0 macrophages. In addition, in vitro experimental results demonstrated significant differences in disulfidptosis-related lncRNAs. Altogether, the six disulfidptosis-related lncRNA signatures could serve as a potential prognostic biomarker for lung adenocarcinoma. Furthermore, these can be used as a prediction model in individualized immunotherapy for lung adenocarcinoma.

肺腺癌中与二硫化硫相关的 lncRNA 之间的相互关系揭示了免疫特征与临床预后的相关性
二硫化血症是指一种以二硫化物积累为特征的特定程序性细胞死亡过程。最近有报道称,在多种癌症中都存在这种现象。然而,与二硫化相关的长非编码 RNA(lncRNA)对恶性肿瘤的影响在很大程度上仍然未知。在本研究中,我们筛选了预后相关的二硫化硫相关lncRNA,并研究了它们对肺腺癌的影响。我们从癌症基因组图谱(TCGA)数据库中获取了肺腺癌病例的相关临床数据。利用RNA测序鉴定肺腺癌中不同表达的二硫化相关lncRNA。此外,还通过单变量考克斯回归分析获得了预后相关的二硫化相关lncRNA。利用LASSO-COX构建了新的二硫化相关lncRNA特征。采用不同的统计方法验证了二硫化血症相关lncRNAs特征的实用性和准确性。此外,还采用了多种生物信息学方法来研究不同风险群体的生物过程和通路的相关异质性。反转录酶-定量聚合酶链反应(RT-qPCR)分析了二硫化血症相关lncRNAs的表达。最后,在肺腺癌细胞中发现了7个与二硫化相关的lncRNA特征。所构建的预后预测模型能有效预测患者的生存期。亚组分析显示了免疫细胞比例的显著差异,包括T滤泡辅助细胞和M0巨噬细胞。此外,体外实验结果表明,与二硫化相关的lncRNAs也存在显著差异。总之,六种与二硫化相关的lncRNA特征可作为肺腺癌的潜在预后生物标志物。此外,这些特征还可用作肺腺癌个体化免疫疗法的预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Non-coding RNA Research
Non-coding RNA Research Medicine-Biochemistry (medical)
CiteScore
7.70
自引率
6.00%
发文量
39
审稿时长
49 days
期刊介绍: Non-coding RNA Research aims to publish high quality research and review articles on the mechanistic role of non-coding RNAs in all human diseases. This interdisciplinary journal will welcome research dealing with all aspects of non-coding RNAs-their biogenesis, regulation and role in disease progression. The focus of this journal will be to publish translational studies as well as well-designed basic studies with translational and clinical implications. The non-coding RNAs of particular interest will be microRNAs (miRNAs), small interfering RNAs (siRNAs), small nucleolar RNAs (snoRNAs), U-RNAs/small nuclear RNAs (snRNAs), exosomal/extracellular RNAs (exRNAs), Piwi-interacting RNAs (piRNAs) and long non-coding RNAs. Topics of interest will include, but not limited to: -Regulation of non-coding RNAs -Targets and regulatory functions of non-coding RNAs -Epigenetics and non-coding RNAs -Biological functions of non-coding RNAs -Non-coding RNAs as biomarkers -Non-coding RNA-based therapeutics -Prognostic value of non-coding RNAs -Pharmacological studies involving non-coding RNAs -Population based and epidemiological studies -Gene expression / proteomics / computational / pathway analysis-based studies on non-coding RNAs with functional validation -Novel strategies to manipulate non-coding RNAs expression and function -Clinical studies on evaluation of non-coding RNAs The journal will strive to disseminate cutting edge research, showcasing the ever-evolving importance of non-coding RNAs in modern day research and medicine.
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