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Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma

PURPOSE: Growing evidence demonstrates that long non-coding RNAs (lncRNAs) play a crucial role as competing endogenous RNAs (ceRNAs) in tumor occurrence. The lncRNAs’ functions and clinical significance in laryngeal squamous cell carcinoma (LSCC) remain unclear. The study aims to reveal the lncRNA-a...

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Autores principales: Shi, Yong, Yang, Dongli, Qin, Yixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207764/
https://www.ncbi.nlm.nih.gov/pubmed/34130645
http://dx.doi.org/10.1186/s12885-021-08422-2
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author Shi, Yong
Yang, Dongli
Qin, Yixiao
author_facet Shi, Yong
Yang, Dongli
Qin, Yixiao
author_sort Shi, Yong
collection PubMed
description PURPOSE: Growing evidence demonstrates that long non-coding RNAs (lncRNAs) play a crucial role as competing endogenous RNAs (ceRNAs) in tumor occurrence. The lncRNAs’ functions and clinical significance in laryngeal squamous cell carcinoma (LSCC) remain unclear. The study aims to reveal the lncRNA-associated ceRNA regulatory network of LSCC and clarify its clinical relevance. METHODS: Here, we obtained LSCC transcriptome data from The Cancer Genome Atlas (TCGA) database and identified the differential expression profile of lncRNAs, miRNAs, and mRNAs by the EdgeR R package. The function enrichment analysis of mRNAs was performed using clusterProfiler R package and GSEA3.0. Then, we constructed a ceRNA network and prognosis model based on lncRNAs through bioinformatic methods. Moreover, we explored the functions of prognosis-related lncRNA in LSCC by CCK-8 and transwell assay. RESULTS: 1961 lncRNAs, 69 miRNAs, and 2224 mRNAs were identified as differentially expressed genes in LSCC tissues. According to the transcriptome differential expression profile, a ceRNA network containing 61 lncRNAs, 21 miRNAs, and 77 mRNAs was established. Then, four lncRNAs (AC011933.2, FAM30A, LINC02086, LINC02575) were identified from the ceRNA network to build a prognosis model for LSCC patients. And we found that LINC02086 and LINC02575 promoted the proliferation, migration, and invasion of LSCC cells while AC011933.2 and FAM30A inhibited these biological functions in vitro. Furthermore, we validated that LINc02086/miR-770-5p/SLC26A2 axis promoted migration in LSCC. CONCLUSION: Four lncRNAs of the ceRNA network were abnormally expressed and related to patient prognosis in LSCC. They played a significant role in the progress of LSCC via affecting the proliferation and metastasis of tumor cells. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08422-2.
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spelling pubmed-82077642021-06-16 Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma Shi, Yong Yang, Dongli Qin, Yixiao BMC Cancer Research PURPOSE: Growing evidence demonstrates that long non-coding RNAs (lncRNAs) play a crucial role as competing endogenous RNAs (ceRNAs) in tumor occurrence. The lncRNAs’ functions and clinical significance in laryngeal squamous cell carcinoma (LSCC) remain unclear. The study aims to reveal the lncRNA-associated ceRNA regulatory network of LSCC and clarify its clinical relevance. METHODS: Here, we obtained LSCC transcriptome data from The Cancer Genome Atlas (TCGA) database and identified the differential expression profile of lncRNAs, miRNAs, and mRNAs by the EdgeR R package. The function enrichment analysis of mRNAs was performed using clusterProfiler R package and GSEA3.0. Then, we constructed a ceRNA network and prognosis model based on lncRNAs through bioinformatic methods. Moreover, we explored the functions of prognosis-related lncRNA in LSCC by CCK-8 and transwell assay. RESULTS: 1961 lncRNAs, 69 miRNAs, and 2224 mRNAs were identified as differentially expressed genes in LSCC tissues. According to the transcriptome differential expression profile, a ceRNA network containing 61 lncRNAs, 21 miRNAs, and 77 mRNAs was established. Then, four lncRNAs (AC011933.2, FAM30A, LINC02086, LINC02575) were identified from the ceRNA network to build a prognosis model for LSCC patients. And we found that LINC02086 and LINC02575 promoted the proliferation, migration, and invasion of LSCC cells while AC011933.2 and FAM30A inhibited these biological functions in vitro. Furthermore, we validated that LINc02086/miR-770-5p/SLC26A2 axis promoted migration in LSCC. CONCLUSION: Four lncRNAs of the ceRNA network were abnormally expressed and related to patient prognosis in LSCC. They played a significant role in the progress of LSCC via affecting the proliferation and metastasis of tumor cells. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08422-2. BioMed Central 2021-06-15 /pmc/articles/PMC8207764/ /pubmed/34130645 http://dx.doi.org/10.1186/s12885-021-08422-2 Text en © The Author(s) 2021 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
Shi, Yong
Yang, Dongli
Qin, Yixiao
Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title_full Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title_fullStr Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title_full_unstemmed Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title_short Identifying prognostic lncRNAs based on a ceRNA regulatory network in laryngeal squamous cell carcinoma
title_sort identifying prognostic lncrnas based on a cerna regulatory network in laryngeal squamous cell carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207764/
https://www.ncbi.nlm.nih.gov/pubmed/34130645
http://dx.doi.org/10.1186/s12885-021-08422-2
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