Identification and Functional Characterization of PI3K/Akt/mTOR Pathway-Related lncRNAs in Lung Adenocarcinoma: A Retrospective Study.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jiaqi Zhong, Ying Kong, Ruming Li, Minghan Feng, Liming Li, Xiao Zhu, Lianzhou Chen
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引用次数: 0

Abstract

Objective: This paper aimed to investigate the PI3K/Akt/mTOR signal-pathway regulator factor-related lncRNA signatures (PAM-SRFLncSigs), associated with regulators of the indicated signaling pathway in patients with lung adenocarcinoma (LUAD) undergoing immunotherapy.

Materials and methods: In this retrospective study, we employed univariate Cox, multivariate Cox, and least absolute shrinkage and selection operator (LASSO) regression analyses to identify prognostically relevant long non-coding RNAs (lncRNAs), construct prognostic models, and perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Subsequently, immunoassay and chemotherapy drug screening were conducted. Finally, the prognostic model was validated using the Imvigor210 cohort, and tumor stem cells were analyzed.

Results: We identified seven prognosis-related lncRNAs (AC084757.3, AC010999.2, LINC02802, AC026979.2, AC024896.1, LINC00941 and LINC01312). We also developed prognostic models to predict survival in patients with LUAD. KEGG enrichment analysis confirmed association of LUAD with the PI3K/Akt/mTOR signaling pathway. In the analysis of immune function pathways, we discovered three good prognostic pathways (Cytolytic_activity, Inflammation-promoting, T_cell_co-inhibition) in LUAD. Additionally, we screened 73 oncology chemotherapy drugs using the "pRRophetic" algorithm.

Conclusion: Identification of seven lncRNAs linked to regulators of the PI3K/Akt/mTOR signaling pathway provided valuable insights into predicting the prognosis of LUAD, understanding the immune microenvironment and optimizing immunotherapy strategies.

肺腺癌中 PI3K/Akt/mTOR 通路相关 lncRNA 的鉴定和功能特征:一项回顾性研究
目的本文旨在研究PI3K/Akt/mTOR信号通路调节因子相关lncRNA特征(PAM-SRFLncSigs),以及接受免疫治疗的肺腺癌(LUAD)患者中与上述信号通路调节因子相关的lncRNA特征:在这项回顾性研究中,我们采用了单变量Cox、多变量Cox和最小绝对收缩与选择算子(LASSO)回归分析来识别与预后相关的长非编码RNA(lncRNA),构建预后模型,并进行基因本体(GO)和京都基因与基因组百科全书(KEGG)分析。随后进行了免疫测定和化疗药物筛选。最后,利用Imvigor210队列验证了预后模型,并对肿瘤干细胞进行了分析:结果:我们发现了7个与预后相关的lncRNA(AC084757.3、AC010999.2、LINC02802、AC026979.2、AC024896.1、LINC00941和LINC01312)。我们还建立了预测 LUAD 患者生存期的预后模型。KEGG富集分析证实,LUAD与PI3K/Akt/mTOR信号通路有关。在对免疫功能通路的分析中,我们发现了三条预后良好的通路(细胞溶解活性、炎症促进、T细胞协同抑制)。此外,我们还利用 "pRRophetic "算法筛选了73种肿瘤化疗药物:结论:与PI3K/Akt/mTOR信号通路调节因子相关的7个lncRNA的鉴定为预测LUAD的预后、了解免疫微环境和优化免疫疗法策略提供了宝贵的见解。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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