{"title":"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","authors":"Qianhui Zhou , Ting Yuan , Zhimin Xie , Ying Chen","doi":"10.1016/j.ejbt.2023.10.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p><p><strong>How to cite:</strong> 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. <span>https://doi.org/10.1016/j.ejbt.2023.10.001</span><svg><path></path></svg>.</p></div>","PeriodicalId":11529,"journal":{"name":"Electronic Journal of Biotechnology","volume":"67 ","pages":"Pages 13-22"},"PeriodicalIF":2.3000,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0717345823000337/pdfft?md5=f8f25c218e1eef8b2d334ae4ddc5267a&pid=1-s2.0-S0717345823000337-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Unraveling SARS-CoV-2-associated lncRNAs' prognostic significance in lung adenocarcinoma-survival, immunity, and chemotherapy responses\",\"authors\":\"Qianhui Zhou , Ting Yuan , Zhimin Xie , Ying Chen\",\"doi\":\"10.1016/j.ejbt.2023.10.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p><p><strong>How to cite:</strong> 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. <span>https://doi.org/10.1016/j.ejbt.2023.10.001</span><svg><path></path></svg>.</p></div>\",\"PeriodicalId\":11529,\"journal\":{\"name\":\"Electronic Journal of Biotechnology\",\"volume\":\"67 \",\"pages\":\"Pages 13-22\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0717345823000337/pdfft?md5=f8f25c218e1eef8b2d334ae4ddc5267a&pid=1-s2.0-S0717345823000337-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Journal of Biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0717345823000337\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0717345823000337","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Unraveling SARS-CoV-2-associated lncRNAs' prognostic significance in lung adenocarcinoma-survival, immunity, and chemotherapy responses
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.
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