Unraveling SARS-CoV-2-associated lncRNAs' prognostic significance in lung adenocarcinoma-survival, immunity, and chemotherapy responses

IF 2.3 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Electronic Journal of Biotechnology Pub Date : 2023-10-29 DOI:10.1016/j.ejbt.2023.10.001
Qianhui Zhou , Ting Yuan , Zhimin Xie , Ying Chen
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引用次数: 0

Abstract

Background

This study investigates the link between SARS-CoV-2-associated long non-coding RNAs (lncRNAs) and lung adenocarcinoma (LUAD). LUAD is a prevalent and aggressive lung cancer type. The study aims to identify prognostic lncRNAs and construct a predictive model while shedding light on potential therapeutic targets during the COVID-19 era.

Results

Eight SARS-CoV-2-associated lncRNAs with significant prognostic value in LUAD were identified, forming a robust prognostic risk model. The model exhibited strong predictive performance, with high area under the ROC curve (AUC) values at one, three, and five years. Furthermore, the risk score was an independent prognostic factor, correlating with the cancer stage. Notably, differences in immune function, drug sensitivity, and immune checkpoint expression were observed between high- and low-risk groups.

Conclusions

This study unveils eight SARS-CoV-2-associated lncRNAs as valuable prognostic markers in LUAD, yielding a reliable prognostic risk model. Additionally, the model's ability to predict patient outcomes and its correlation with cancer stage underscores its clinical utility. The observed variances in immune function, drug sensitivity, and immune checkpoint expression suggest potential avenues for personalized LUAD treatment strategies. Clinicians can utilize the prognostic risk model to predict LUAD patient outcomes, informing treatment decisions. The insights into immune function, drug sensitivity, and immune checkpoints offer opportunities for tailored therapies, potentially enhancing patient outcomes. This study underscores the importance of considering the interplay between SARS-CoV-2-associated factors and cancer biology, especially in the context of the COVID-19 pandemic.

How to cite: Zhou Q, Yuan T, Xie Z, et al. Unraveling SARS-CoV-2-associated lncRNAs' prognostic significance in lung adenocarcinoma-survival, immunity, and chemotherapy responses. Electron J Biotechnol 2024;67. https://doi.org/10.1016/j.ejbt.2023.10.001.

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揭示sars - cov -2相关lncrna在肺腺癌生存、免疫和化疗反应中的预后意义
本研究探讨了sars - cov -2相关的长链非编码rna (lncRNAs)与肺腺癌(LUAD)之间的联系。LUAD是一种常见的侵袭性肺癌类型。该研究旨在鉴定预后lncrna并构建预测模型,同时揭示COVID-19时代的潜在治疗靶点。结果鉴定出8个在LUAD中具有显著预后价值的sars - cov -2相关lncrna,形成了稳健的预后风险模型。该模型具有较强的预测性能,在1年、3年和5年的ROC曲线下面积(AUC)值较高。此外,风险评分是一个独立的预后因素,与癌症分期相关。值得注意的是,免疫功能、药物敏感性和免疫检查点表达在高危组和低危组之间存在差异。本研究揭示了8个sars - cov -2相关的lncrna作为LUAD有价值的预后标志物,并建立了可靠的预后风险模型。此外,该模型预测患者预后的能力及其与癌症分期的相关性强调了其临床实用性。观察到的免疫功能、药物敏感性和免疫检查点表达的差异提示了个性化LUAD治疗策略的潜在途径。临床医生可以利用预后风险模型来预测LUAD患者的预后,为治疗决策提供信息。对免疫功能、药物敏感性和免疫检查点的了解为量身定制的治疗提供了机会,有可能提高患者的治疗效果。这项研究强调了考虑sars - cov -2相关因素与癌症生物学之间相互作用的重要性,特别是在COVID-19大流行的背景下。引用方式:周强,袁涛,谢忠,等。揭示sars - cov -2相关lncrna在肺腺癌生存、免疫和化疗反应中的预后意义中国生物医学工程学报(英文版);2009;16。https://doi.org/10.1016/j.ejbt.2023.10.001。
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来源期刊
Electronic Journal of Biotechnology
Electronic Journal of Biotechnology 工程技术-生物工程与应用微生物
CiteScore
5.60
自引率
0.00%
发文量
50
审稿时长
2 months
期刊介绍: Electronic Journal of Biotechnology is an international scientific electronic journal, which publishes papers from all areas related to Biotechnology. It covers from molecular biology and the chemistry of biological processes to aquatic and earth environmental aspects, computational applications, policy and ethical issues directly related to Biotechnology. The journal provides an effective way to publish research and review articles and short communications, video material, animation sequences and 3D are also accepted to support and enhance articles. The articles will be examined by a scientific committee and anonymous evaluators and published every two months in HTML and PDF formats (January 15th , March 15th, May 15th, July 15th, September 15th, November 15th). The following areas are covered in the Journal: • Animal Biotechnology • Biofilms • Bioinformatics • Biomedicine • Biopolicies of International Cooperation • Biosafety • Biotechnology Industry • Biotechnology of Human Disorders • Chemical Engineering • Environmental Biotechnology • Food Biotechnology • Marine Biotechnology • Microbial Biotechnology • Molecular Biology and Genetics •Nanobiotechnology • Omics • Plant Biotechnology • Process Biotechnology • Process Chemistry and Technology • Tissue Engineering
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