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Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology
Small non-coding RNAs are potential diagnostic biomarkers for lung cancer. Mitochondria-derived small RNA (mtRNA) is a novel regulatory small non-coding RNA that only recently has been identified and cataloged. Currently, there are no reports of studies of mtRNA in human lung cancer. Currently, norm...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chongqing Medical University
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308114/ https://www.ncbi.nlm.nih.gov/pubmed/37396544 http://dx.doi.org/10.1016/j.gendis.2022.07.013 |
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author | Yu, Zongtao Chen, Shaoqiu Tang, Zhenming Tang, Ying Ling, Zhougui Wang, Hongwei Gong, Ting Gao, Zitong Devendra, Gehan Huang, Gang Chen, Wei Deng, Youping |
author_facet | Yu, Zongtao Chen, Shaoqiu Tang, Zhenming Tang, Ying Ling, Zhougui Wang, Hongwei Gong, Ting Gao, Zitong Devendra, Gehan Huang, Gang Chen, Wei Deng, Youping |
author_sort | Yu, Zongtao |
collection | PubMed |
description | Small non-coding RNAs are potential diagnostic biomarkers for lung cancer. Mitochondria-derived small RNA (mtRNA) is a novel regulatory small non-coding RNA that only recently has been identified and cataloged. Currently, there are no reports of studies of mtRNA in human lung cancer. Currently, normalization methods are unstable, and they often fail to identify differentially expressed small non-coding RNAs (sncRNAs). In order to identify reliable biomarkers for lung cancer screening, we used a ratio-based method using mtRNAs newly discovered in human peripheral blood mononuclear cells. In the discovery cohort (AUC = 0.981) and independent validation cohort (AUC = 0.916) the prediction model of eight mtRNA ratios distinguished lung cancer patients from controls. The prediction model will provide reliable biomarkers that will allow blood-based screening to become more feasible and will help make lung cancer diagnosis more accurate in clinical practice. |
format | Online Article Text |
id | pubmed-10308114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Chongqing Medical University |
record_format | MEDLINE/PubMed |
spelling | pubmed-103081142023-06-30 Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology Yu, Zongtao Chen, Shaoqiu Tang, Zhenming Tang, Ying Ling, Zhougui Wang, Hongwei Gong, Ting Gao, Zitong Devendra, Gehan Huang, Gang Chen, Wei Deng, Youping Genes Dis Full Length Article Small non-coding RNAs are potential diagnostic biomarkers for lung cancer. Mitochondria-derived small RNA (mtRNA) is a novel regulatory small non-coding RNA that only recently has been identified and cataloged. Currently, there are no reports of studies of mtRNA in human lung cancer. Currently, normalization methods are unstable, and they often fail to identify differentially expressed small non-coding RNAs (sncRNAs). In order to identify reliable biomarkers for lung cancer screening, we used a ratio-based method using mtRNAs newly discovered in human peripheral blood mononuclear cells. In the discovery cohort (AUC = 0.981) and independent validation cohort (AUC = 0.916) the prediction model of eight mtRNA ratios distinguished lung cancer patients from controls. The prediction model will provide reliable biomarkers that will allow blood-based screening to become more feasible and will help make lung cancer diagnosis more accurate in clinical practice. Chongqing Medical University 2022-08-07 /pmc/articles/PMC10308114/ /pubmed/37396544 http://dx.doi.org/10.1016/j.gendis.2022.07.013 Text en © 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Length Article Yu, Zongtao Chen, Shaoqiu Tang, Zhenming Tang, Ying Ling, Zhougui Wang, Hongwei Gong, Ting Gao, Zitong Devendra, Gehan Huang, Gang Chen, Wei Deng, Youping Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title | Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title_full | Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title_fullStr | Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title_full_unstemmed | Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title_short | Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
title_sort | mitochondria-derived small rnas as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308114/ https://www.ncbi.nlm.nih.gov/pubmed/37396544 http://dx.doi.org/10.1016/j.gendis.2022.07.013 |
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