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Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer
BACKGROUND: Small cell lung cancer (SCLC) is a highly lethal malignant tumor. It accounts for approximately 15% of newly diagnosed lung cancers. Long non-coding RNAs (lncRNAs) can regulate gene expression and contribute to tumorigenesis through interactions with microRNAs (miRNAs). However, there ar...
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/PMC10131370/ https://www.ncbi.nlm.nih.gov/pubmed/37098483 http://dx.doi.org/10.1186/s12864-023-09306-4 |
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author | Zhang, Chenxi Zhou, Ying Zhang, Bin Sheng, Zhihong Sun, Nan Yuan, Baiyin Wu, Xiaoyuan |
author_facet | Zhang, Chenxi Zhou, Ying Zhang, Bin Sheng, Zhihong Sun, Nan Yuan, Baiyin Wu, Xiaoyuan |
author_sort | Zhang, Chenxi |
collection | PubMed |
description | BACKGROUND: Small cell lung cancer (SCLC) is a highly lethal malignant tumor. It accounts for approximately 15% of newly diagnosed lung cancers. Long non-coding RNAs (lncRNAs) can regulate gene expression and contribute to tumorigenesis through interactions with microRNAs (miRNAs). However, there are only a few studies reporting the expression profiles of lncRNAs, miRNAs, and mRNAs in SCLC. Also, the role of differentially expressed lncRNAs, miRNAs, and mRNAs in relation to competitive endogenous RNAs (ceRNA) network in SCLC remain unclear. RESULTS: In the present study, we first performed next generation sequencing (NGS) with six pairs of SCLC tumors and adjacent non-cancerous tissues obtained from SCLC patients. Overall, 29 lncRNAs, 48 miRNAs, and 510 mRNAs were found to be differentially expressed in SCLC samples (|log(2)[fold change] |> 1; P < 0.05). Bioinformatics analysis was performed to predict and construct a lncRNA-miRNA-mRNA ceRNA network, which included 9 lncRNAs, 11 miRNAs, and 392 mRNAs. Four up-regulated lncRNAs and related mRNAs in the ceRNA regulatory pathways were selected and validated by quantitative PCR. In addition, we examined the role of the most upregulated lncRNA, TCONS_00020615, in SCLC cells. We found that TCONS_00020615 may regulate SCLC tumorigenesis through the TCONS_00020615–hsa-miR-26b-5p–TPD52 pathway. CONCLUSIONS: Our study provided the comprehensive analysis of the expression profiles of lncRNAs, miRNAs, and mRNAs of SCLC tumors and adjacent non-cancerous tissues. We constructed the ceRNA networks which may provide new evidence for the underlying regulatory mechanism of SCLC. We also found that the lncRNA TCONS_00020615 may regulate the carcinogenesis of SCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09306-4. |
format | Online Article Text |
id | pubmed-10131370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101313702023-04-27 Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer Zhang, Chenxi Zhou, Ying Zhang, Bin Sheng, Zhihong Sun, Nan Yuan, Baiyin Wu, Xiaoyuan BMC Genomics Research BACKGROUND: Small cell lung cancer (SCLC) is a highly lethal malignant tumor. It accounts for approximately 15% of newly diagnosed lung cancers. Long non-coding RNAs (lncRNAs) can regulate gene expression and contribute to tumorigenesis through interactions with microRNAs (miRNAs). However, there are only a few studies reporting the expression profiles of lncRNAs, miRNAs, and mRNAs in SCLC. Also, the role of differentially expressed lncRNAs, miRNAs, and mRNAs in relation to competitive endogenous RNAs (ceRNA) network in SCLC remain unclear. RESULTS: In the present study, we first performed next generation sequencing (NGS) with six pairs of SCLC tumors and adjacent non-cancerous tissues obtained from SCLC patients. Overall, 29 lncRNAs, 48 miRNAs, and 510 mRNAs were found to be differentially expressed in SCLC samples (|log(2)[fold change] |> 1; P < 0.05). Bioinformatics analysis was performed to predict and construct a lncRNA-miRNA-mRNA ceRNA network, which included 9 lncRNAs, 11 miRNAs, and 392 mRNAs. Four up-regulated lncRNAs and related mRNAs in the ceRNA regulatory pathways were selected and validated by quantitative PCR. In addition, we examined the role of the most upregulated lncRNA, TCONS_00020615, in SCLC cells. We found that TCONS_00020615 may regulate SCLC tumorigenesis through the TCONS_00020615–hsa-miR-26b-5p–TPD52 pathway. CONCLUSIONS: Our study provided the comprehensive analysis of the expression profiles of lncRNAs, miRNAs, and mRNAs of SCLC tumors and adjacent non-cancerous tissues. We constructed the ceRNA networks which may provide new evidence for the underlying regulatory mechanism of SCLC. We also found that the lncRNA TCONS_00020615 may regulate the carcinogenesis of SCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09306-4. BioMed Central 2023-04-25 /pmc/articles/PMC10131370/ /pubmed/37098483 http://dx.doi.org/10.1186/s12864-023-09306-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Zhang, Chenxi Zhou, Ying Zhang, Bin Sheng, Zhihong Sun, Nan Yuan, Baiyin Wu, Xiaoyuan Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title | Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title_full | Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title_fullStr | Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title_full_unstemmed | Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title_short | Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer |
title_sort | identification of lncrna, mirna and mrna expression profiles and cerna networks in small cell lung cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131370/ https://www.ncbi.nlm.nih.gov/pubmed/37098483 http://dx.doi.org/10.1186/s12864-023-09306-4 |
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