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Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer
BACKGROUND: MicroRNAs (miRNAs) of plasma-derived small extracellular vesicles (sEVs) have been proven to be associated with metastasis in several types of cancer. This study aimed to detect miRNAs of plasma-derived sEVs as potential biomarkers for metastatic non-small cell lung cancer (NSCLC). METHO...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347730/ https://www.ncbi.nlm.nih.gov/pubmed/37452310 http://dx.doi.org/10.1186/s12890-023-02538-w |
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author | Geng, Nan Qi, Yaopu Qin, Wenwen Li, Si Jin, Hao Jiang, Yifang Wang, Xiuhuan Wei, Shanna Wang, Ping |
author_facet | Geng, Nan Qi, Yaopu Qin, Wenwen Li, Si Jin, Hao Jiang, Yifang Wang, Xiuhuan Wei, Shanna Wang, Ping |
author_sort | Geng, Nan |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRNAs) of plasma-derived small extracellular vesicles (sEVs) have been proven to be associated with metastasis in several types of cancer. This study aimed to detect miRNAs of plasma-derived sEVs as potential biomarkers for metastatic non-small cell lung cancer (NSCLC). METHODS: We assessed the miRNA profiles of plasma-derived sEVs from healthy individuals as the control group (CT group), NSCLC patients without distant organ metastasis as the NM-NSCLC group and patients with distant organ metastasis as the M-NSCLC group. Next-generation sequencing (NGS) was performed on samples, and differentially expressed miRNAs (DEMs) of the three groups were screened. Kyoto Encyclopedia of Genes and Genomes (KEGG) and ClueGO were used to predict potential pathways of DEMs. MiRNA enrichment analysis and annotation tool (miEAA) was used to understand changes in the tumour microenvironment in NSCLC. Quantitative reverse transcription polymerase chain reaction (qRT‒PCR) analysis was used to validate target miRNAs. RESULT: NGS was performed on 38 samples of miRNAs of plasma-derived sEVs, and DEMs were screened out between the above three groups. Regarding the distribution of DEMs in the NM-NSCLC and M-NSCLC groups, KEGG pathway analysis showed enrichment in focal adhesion and gap junctions and ClueGO in the Rap1 and Hippo signaling pathways; miEAA found that fibroblasts were over-represented. From our screening, miRNA-200c-3p and miRNA-4429 were found to be predictive DEMs among the CT, NM-NSCLC and M-NSCLC groups, and qRT‒PCR was applied to verify the results. Finally, it was revealed that expression levels of miR-200c-3p and miR-4429 were significantly upregulated in M-NSCLC patients. CONCLUSION: This study identified miRNA-200c-3p and miRNA-4429 as potential biomarkers for NSCLC metastasis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02538-w. |
format | Online Article Text |
id | pubmed-10347730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103477302023-07-15 Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer Geng, Nan Qi, Yaopu Qin, Wenwen Li, Si Jin, Hao Jiang, Yifang Wang, Xiuhuan Wei, Shanna Wang, Ping BMC Pulm Med Research BACKGROUND: MicroRNAs (miRNAs) of plasma-derived small extracellular vesicles (sEVs) have been proven to be associated with metastasis in several types of cancer. This study aimed to detect miRNAs of plasma-derived sEVs as potential biomarkers for metastatic non-small cell lung cancer (NSCLC). METHODS: We assessed the miRNA profiles of plasma-derived sEVs from healthy individuals as the control group (CT group), NSCLC patients without distant organ metastasis as the NM-NSCLC group and patients with distant organ metastasis as the M-NSCLC group. Next-generation sequencing (NGS) was performed on samples, and differentially expressed miRNAs (DEMs) of the three groups were screened. Kyoto Encyclopedia of Genes and Genomes (KEGG) and ClueGO were used to predict potential pathways of DEMs. MiRNA enrichment analysis and annotation tool (miEAA) was used to understand changes in the tumour microenvironment in NSCLC. Quantitative reverse transcription polymerase chain reaction (qRT‒PCR) analysis was used to validate target miRNAs. RESULT: NGS was performed on 38 samples of miRNAs of plasma-derived sEVs, and DEMs were screened out between the above three groups. Regarding the distribution of DEMs in the NM-NSCLC and M-NSCLC groups, KEGG pathway analysis showed enrichment in focal adhesion and gap junctions and ClueGO in the Rap1 and Hippo signaling pathways; miEAA found that fibroblasts were over-represented. From our screening, miRNA-200c-3p and miRNA-4429 were found to be predictive DEMs among the CT, NM-NSCLC and M-NSCLC groups, and qRT‒PCR was applied to verify the results. Finally, it was revealed that expression levels of miR-200c-3p and miR-4429 were significantly upregulated in M-NSCLC patients. CONCLUSION: This study identified miRNA-200c-3p and miRNA-4429 as potential biomarkers for NSCLC metastasis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02538-w. BioMed Central 2023-07-14 /pmc/articles/PMC10347730/ /pubmed/37452310 http://dx.doi.org/10.1186/s12890-023-02538-w Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Geng, Nan Qi, Yaopu Qin, Wenwen Li, Si Jin, Hao Jiang, Yifang Wang, Xiuhuan Wei, Shanna Wang, Ping Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title | Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title_full | Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title_fullStr | Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title_full_unstemmed | Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title_short | Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
title_sort | two micrornas of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347730/ https://www.ncbi.nlm.nih.gov/pubmed/37452310 http://dx.doi.org/10.1186/s12890-023-02538-w |
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