A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma
Lung cancer is the leading cause of cancer‐related morbidity and mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype (approximately 40%). In the absence of reliable screening biomarkers for early diagnosis, most patients with LUAD are inevitably diagnosed...
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Format: | Article |
Language: | English |
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Wiley
2019-12-01
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Series: | FEBS Open Bio |
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Online Access: | https://doi.org/10.1002/2211-5463.12753 |
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author | Bing Yao Shuang Qu Ruifeng Hu Wen Gao Shidai Jin Ming Liu Quan Zhao |
author_facet | Bing Yao Shuang Qu Ruifeng Hu Wen Gao Shidai Jin Ming Liu Quan Zhao |
author_sort | Bing Yao |
collection | DOAJ |
description | Lung cancer is the leading cause of cancer‐related morbidity and mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype (approximately 40%). In the absence of reliable screening biomarkers for early diagnosis, most patients with LUAD are inevitably diagnosed at an advanced stage. MicroRNAs (miRNAs) encapsulated within plasma‐derived extracellular vesicles (EVs) may be suitable for use as noninvasive diagnostic biomarkers for aggressive malignancies, including LUAD. In this study, we first investigated the miRNA profiles of plasma‐derived EVs from LUAD patients and healthy donors, and then systematically evaluated the expression patterns of selected plasma‐derived EV miRNAs in a large cohort of patients with LUAD and healthy controls. Notably, we observed that miR‐451a, miR‐194‐5p, and miR‐486‐5p were significantly increased in EVs from LUAD patients, compared to healthy controls. The area under the curve values for the three miRNAs were 0.9040 (95% confidence interval [CI], 0.8633–0.9447) for miR‐451a, 0.7492 (95% CI, 0.6992–0.7992) for miR‐194‐5p, and 0.9574 (95% CI, 0.9378–0.9769) for miR‐486‐5p, while the AUC of the combination of these three miRNAs was 0.9650. Thus, these results suggest that these EV miRNAs may be promising candidates for the development of highly effective, noninvasive biomarkers for early LUAD diagnosis. |
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issn | 2211-5463 |
language | English |
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spelling | doaj.art-6ed2e7a340034a0a8fc7b9a36fd0a0102024-12-06T11:26:36ZengWileyFEBS Open Bio2211-54632019-12-019122149215810.1002/2211-5463.12753A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinomaBing Yao0Shuang Qu1Ruifeng Hu2Wen Gao3Shidai Jin4Ming Liu5Quan Zhao6The State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University ChinaThe State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University ChinaThe State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University ChinaDepartment of Oncology The First Affiliated Hospital of Nanjing Medical University ChinaDepartment of Oncology The First Affiliated Hospital of Nanjing Medical University ChinaThe State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University ChinaThe State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University ChinaLung cancer is the leading cause of cancer‐related morbidity and mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype (approximately 40%). In the absence of reliable screening biomarkers for early diagnosis, most patients with LUAD are inevitably diagnosed at an advanced stage. MicroRNAs (miRNAs) encapsulated within plasma‐derived extracellular vesicles (EVs) may be suitable for use as noninvasive diagnostic biomarkers for aggressive malignancies, including LUAD. In this study, we first investigated the miRNA profiles of plasma‐derived EVs from LUAD patients and healthy donors, and then systematically evaluated the expression patterns of selected plasma‐derived EV miRNAs in a large cohort of patients with LUAD and healthy controls. Notably, we observed that miR‐451a, miR‐194‐5p, and miR‐486‐5p were significantly increased in EVs from LUAD patients, compared to healthy controls. The area under the curve values for the three miRNAs were 0.9040 (95% confidence interval [CI], 0.8633–0.9447) for miR‐451a, 0.7492 (95% CI, 0.6992–0.7992) for miR‐194‐5p, and 0.9574 (95% CI, 0.9378–0.9769) for miR‐486‐5p, while the AUC of the combination of these three miRNAs was 0.9650. Thus, these results suggest that these EV miRNAs may be promising candidates for the development of highly effective, noninvasive biomarkers for early LUAD diagnosis.https://doi.org/10.1002/2211-5463.12753biomarkerextracellular vesicleslung adenocarcinomamiRNAs |
spellingShingle | Bing Yao Shuang Qu Ruifeng Hu Wen Gao Shidai Jin Ming Liu Quan Zhao A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma FEBS Open Bio biomarker extracellular vesicles lung adenocarcinoma miRNAs |
title | A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
title_full | A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
title_fullStr | A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
title_full_unstemmed | A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
title_short | A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
title_sort | panel of mirnas derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma |
topic | biomarker extracellular vesicles lung adenocarcinoma miRNAs |
url | https://doi.org/10.1002/2211-5463.12753 |
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