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LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis
The effect of long noncoding RNAs (lncRNAs) on the radiotherapy response has been gradually revealed. This systematic review and meta-analysis aimed to evaluate the association between the function and underlying mechanism of lncRNAs in regulating the radiosensitivity and radioresistance of differen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630540/ https://www.ncbi.nlm.nih.gov/pubmed/36323697 http://dx.doi.org/10.1038/s41598-022-21785-1 |
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author | Xie, Yuxin Han, Jiaqi Xie, Keqi Gou, Qiheng |
author_facet | Xie, Yuxin Han, Jiaqi Xie, Keqi Gou, Qiheng |
author_sort | Xie, Yuxin |
collection | PubMed |
description | The effect of long noncoding RNAs (lncRNAs) on the radiotherapy response has been gradually revealed. This systematic review and meta-analysis aimed to evaluate the association between the function and underlying mechanism of lncRNAs in regulating the radiosensitivity and radioresistance of different tumors. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were calculated to estimate the effect of lncRNAs on cancer patient prognosis, including overall survival (OS), recurrence-free survival (RFS), disease-free survival (DFS) and progression-free survival (PFS). Collectively, 23 lncRNAs in 11 cancer types were enrolled. Of them, 13 lncRNAs were downregulated and related to radiosensitivity, 11 lncRNAs were upregulated and related to radioresistance, and 3 lncRNAs were upregulated and related to radiosensitivity in cancers. Furthermore, 17 microRNAs and 20 pathways were targeted by different lncRNAs and contributed to the cancer radiotherapy response in this meta-analysis. The individual pooled HRs (95% CIs) of downregulated radiation-resistant and upregulated radiation-resistant lncRNAs for OS were 0.49 (0.40–0.60) and 1.88 (1.26–2.79), respectively. Our results showed that lncRNAs could modulate tumor radioresistance or sensitivity by affecting radiation-related signaling pathways and serve as potential biomarkers to predict radiotherapy response. |
format | Online Article Text |
id | pubmed-9630540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96305402022-11-04 LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis Xie, Yuxin Han, Jiaqi Xie, Keqi Gou, Qiheng Sci Rep Article The effect of long noncoding RNAs (lncRNAs) on the radiotherapy response has been gradually revealed. This systematic review and meta-analysis aimed to evaluate the association between the function and underlying mechanism of lncRNAs in regulating the radiosensitivity and radioresistance of different tumors. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were calculated to estimate the effect of lncRNAs on cancer patient prognosis, including overall survival (OS), recurrence-free survival (RFS), disease-free survival (DFS) and progression-free survival (PFS). Collectively, 23 lncRNAs in 11 cancer types were enrolled. Of them, 13 lncRNAs were downregulated and related to radiosensitivity, 11 lncRNAs were upregulated and related to radioresistance, and 3 lncRNAs were upregulated and related to radiosensitivity in cancers. Furthermore, 17 microRNAs and 20 pathways were targeted by different lncRNAs and contributed to the cancer radiotherapy response in this meta-analysis. The individual pooled HRs (95% CIs) of downregulated radiation-resistant and upregulated radiation-resistant lncRNAs for OS were 0.49 (0.40–0.60) and 1.88 (1.26–2.79), respectively. Our results showed that lncRNAs could modulate tumor radioresistance or sensitivity by affecting radiation-related signaling pathways and serve as potential biomarkers to predict radiotherapy response. Nature Publishing Group UK 2022-11-02 /pmc/articles/PMC9630540/ /pubmed/36323697 http://dx.doi.org/10.1038/s41598-022-21785-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xie, Yuxin Han, Jiaqi Xie, Keqi Gou, Qiheng LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title | LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title_full | LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title_fullStr | LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title_full_unstemmed | LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title_short | LncRNAs as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
title_sort | lncrnas as biomarkers for predicting radioresistance and survival in cancer: a meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630540/ https://www.ncbi.nlm.nih.gov/pubmed/36323697 http://dx.doi.org/10.1038/s41598-022-21785-1 |
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