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A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer
BACKGROUND: Non–small‐cell lung cancer (NSCLC) is a significant public health issue worldwide. The aim of our study was to develop a serum miRNA‐based molecular signature for the early detection and prognosis prediction of NSCLC. METHODS: The significantly altered circulating miRNAs were profiled in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676218/ https://www.ncbi.nlm.nih.gov/pubmed/33463758 http://dx.doi.org/10.1002/jcla.23505 |
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author | Zhou, Chengwei Chen, Zixuan Zhao, Lili Zhao, Weijun Zhu, Yonggang Liu, Jiayuan Zhao, Xiaodong |
author_facet | Zhou, Chengwei Chen, Zixuan Zhao, Lili Zhao, Weijun Zhu, Yonggang Liu, Jiayuan Zhao, Xiaodong |
author_sort | Zhou, Chengwei |
collection | PubMed |
description | BACKGROUND: Non–small‐cell lung cancer (NSCLC) is a significant public health issue worldwide. The aim of our study was to develop a serum miRNA‐based molecular signature for the early detection and prognosis prediction of NSCLC. METHODS: The significantly altered circulating miRNAs were profiled in GSE24709. The top ten upregulated miRNAs were miR‐432, miR‐942, miR‐29c‐5p, miR‐601, miR‐613, miR‐520d‐3p, miR‐1261, miR‐132‐5p, miR‐302b, and miR‐154‐5p, while the top ten downregulated miRNAs were miR‐562, miR‐18b, miR‐9‐3p, miR‐154‐3p, miR‐20b, miR‐18a, miR‐487a, miR‐20a, miR‐103, and miR‐144. Then, the top four upregulated serum miRNAs (miR‐432, miR‐942, miR‐29c‐5p, and miR‐601) were validated by real‐time quantitative PCR. The clinical significance of two candidate serum miRNAs, miR‐942 and miR‐601, was further explored. RESULTS: Our results showed that the expression levels of serum miR‐942 and serum miR‐601 were significantly upregulated in NSCLC. In addition, serum miR‐942 and serum miR‐601 showed better performance than CEA, CYFRA21‐1, and SCCA for early diagnosis of NSCLC. Combining serum miR‐942 and serum miR‐601 enhanced the efficacy of detecting early‐stage NSCLC. Moreover, high serum miR‐942 and serum miR‐601 were both associated with adverse clinical variables and poor survival. The NSCLC patients with simultaneously high serum miR‐942 and serum miR‐601 suffered worst clinical outcome, while those with simultaneously low serum miR‐942 and serum miR‐601 had most favorable outcome. The multivariate analysis showed that serum miR‐942 and serum miR‐601 were independent prognostic factors for NSCLC. CONCLUSIONS: Taken together, serum miR‐942 and serum miR‐601 might serve as a promising molecular signature for the early detection and prognosis prediction of NSCLC. |
format | Online Article Text |
id | pubmed-7676218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76762182020-11-24 A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer Zhou, Chengwei Chen, Zixuan Zhao, Lili Zhao, Weijun Zhu, Yonggang Liu, Jiayuan Zhao, Xiaodong J Clin Lab Anal Research Articles BACKGROUND: Non–small‐cell lung cancer (NSCLC) is a significant public health issue worldwide. The aim of our study was to develop a serum miRNA‐based molecular signature for the early detection and prognosis prediction of NSCLC. METHODS: The significantly altered circulating miRNAs were profiled in GSE24709. The top ten upregulated miRNAs were miR‐432, miR‐942, miR‐29c‐5p, miR‐601, miR‐613, miR‐520d‐3p, miR‐1261, miR‐132‐5p, miR‐302b, and miR‐154‐5p, while the top ten downregulated miRNAs were miR‐562, miR‐18b, miR‐9‐3p, miR‐154‐3p, miR‐20b, miR‐18a, miR‐487a, miR‐20a, miR‐103, and miR‐144. Then, the top four upregulated serum miRNAs (miR‐432, miR‐942, miR‐29c‐5p, and miR‐601) were validated by real‐time quantitative PCR. The clinical significance of two candidate serum miRNAs, miR‐942 and miR‐601, was further explored. RESULTS: Our results showed that the expression levels of serum miR‐942 and serum miR‐601 were significantly upregulated in NSCLC. In addition, serum miR‐942 and serum miR‐601 showed better performance than CEA, CYFRA21‐1, and SCCA for early diagnosis of NSCLC. Combining serum miR‐942 and serum miR‐601 enhanced the efficacy of detecting early‐stage NSCLC. Moreover, high serum miR‐942 and serum miR‐601 were both associated with adverse clinical variables and poor survival. The NSCLC patients with simultaneously high serum miR‐942 and serum miR‐601 suffered worst clinical outcome, while those with simultaneously low serum miR‐942 and serum miR‐601 had most favorable outcome. The multivariate analysis showed that serum miR‐942 and serum miR‐601 were independent prognostic factors for NSCLC. CONCLUSIONS: Taken together, serum miR‐942 and serum miR‐601 might serve as a promising molecular signature for the early detection and prognosis prediction of NSCLC. John Wiley and Sons Inc. 2020-08-09 /pmc/articles/PMC7676218/ /pubmed/33463758 http://dx.doi.org/10.1002/jcla.23505 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Zhou, Chengwei Chen, Zixuan Zhao, Lili Zhao, Weijun Zhu, Yonggang Liu, Jiayuan Zhao, Xiaodong A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title | A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title_full | A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title_fullStr | A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title_full_unstemmed | A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title_short | A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
title_sort | novel circulating mirna‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676218/ https://www.ncbi.nlm.nih.gov/pubmed/33463758 http://dx.doi.org/10.1002/jcla.23505 |
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