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Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data

OBJECTIVE: To discern long non-coding RNAs (lncRNAs) with prognostic relevance in the context of lung squamous cell carcinoma (LUSC), we intend to predict target genes by leveraging The Cancer Genome Atlas (TCGA) repository. Subsequently, we aim to investigate the proliferative potential of critical...

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Autores principales: Cui, Yishuang, Wu, Yanan, Zhang, Mengshi, Zhu, Yingze, Su, Xin, Kong, Wenyue, Zheng, Xuan, Sun, Guogui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642190/
https://www.ncbi.nlm.nih.gov/pubmed/37965447
http://dx.doi.org/10.3389/fonc.2023.1240868
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author Cui, Yishuang
Wu, Yanan
Zhang, Mengshi
Zhu, Yingze
Su, Xin
Kong, Wenyue
Zheng, Xuan
Sun, Guogui
author_facet Cui, Yishuang
Wu, Yanan
Zhang, Mengshi
Zhu, Yingze
Su, Xin
Kong, Wenyue
Zheng, Xuan
Sun, Guogui
author_sort Cui, Yishuang
collection PubMed
description OBJECTIVE: To discern long non-coding RNAs (lncRNAs) with prognostic relevance in the context of lung squamous cell carcinoma (LUSC), we intend to predict target genes by leveraging The Cancer Genome Atlas (TCGA) repository. Subsequently, we aim to investigate the proliferative potential of critical lncRNAs within the LUSC milieu. METHODS: DESeq2 was employed to identify differentially expressed genes within the TCGA database. Following this, we utilized both univariate and multivariate Cox regression analyses to identify lncRNAs with prognostic relevance. Noteworthy lncRNAs were selected for validation in cell lines. The intracellular localization of these lncRNAs was ascertained through nucleocytoplasmic isolation experiments. Additionally, the impact of these lncRNAs on cellular proliferation, invasion, and migration capabilities was investigated using an Antisense oligonucleotides (ASO) knockdown system. RESULTS: Multivariate Cox regression identified a total of 12 candidate genes, consisting of seven downregulated lncRNAs (BRE-AS1, CCL15-CCL14, DNMBP-AS1, LINC00482, LOC100129034, MIR22HG, PRR26) and five upregulated lncRNAs (FAM83A-AS1, LINC00628, LINC00923, LINC01341, LOC100130691). The target genes associated with these lncRNAs exhibit significant enrichment within diverse biological pathways, including metabolic processes, cancer pathways, MAPK signaling, PI3K-Akt signaling, protein binding, cellular components, cellular transformation, and other functional categories. Furthermore, nucleocytoplasmic fractionation experiments demonstrated that LINC00923 and LINC01341 are predominantly localized within the cellular nucleus. Subsequent investigations utilizing CCK-8 assays and colony formation assays revealed that the knockdown of LINC00923 and LINC01341 effectively suppressed the proliferation of H226 and H1703 cells. Additionally, transwell assays showed that knockdown of LINC00923 and LINC01341 significantly attenuated the invasive and migratory capacities of H226 and H1703 cells. CONCLUSION: This study has identified 12 candidate lncRNA associated with prognostic implications, among which LINC00923 and LINC01341 exhibit potential as markers for the prediction of LUSC outcomes.
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spelling pubmed-106421902023-11-14 Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data Cui, Yishuang Wu, Yanan Zhang, Mengshi Zhu, Yingze Su, Xin Kong, Wenyue Zheng, Xuan Sun, Guogui Front Oncol Oncology OBJECTIVE: To discern long non-coding RNAs (lncRNAs) with prognostic relevance in the context of lung squamous cell carcinoma (LUSC), we intend to predict target genes by leveraging The Cancer Genome Atlas (TCGA) repository. Subsequently, we aim to investigate the proliferative potential of critical lncRNAs within the LUSC milieu. METHODS: DESeq2 was employed to identify differentially expressed genes within the TCGA database. Following this, we utilized both univariate and multivariate Cox regression analyses to identify lncRNAs with prognostic relevance. Noteworthy lncRNAs were selected for validation in cell lines. The intracellular localization of these lncRNAs was ascertained through nucleocytoplasmic isolation experiments. Additionally, the impact of these lncRNAs on cellular proliferation, invasion, and migration capabilities was investigated using an Antisense oligonucleotides (ASO) knockdown system. RESULTS: Multivariate Cox regression identified a total of 12 candidate genes, consisting of seven downregulated lncRNAs (BRE-AS1, CCL15-CCL14, DNMBP-AS1, LINC00482, LOC100129034, MIR22HG, PRR26) and five upregulated lncRNAs (FAM83A-AS1, LINC00628, LINC00923, LINC01341, LOC100130691). The target genes associated with these lncRNAs exhibit significant enrichment within diverse biological pathways, including metabolic processes, cancer pathways, MAPK signaling, PI3K-Akt signaling, protein binding, cellular components, cellular transformation, and other functional categories. Furthermore, nucleocytoplasmic fractionation experiments demonstrated that LINC00923 and LINC01341 are predominantly localized within the cellular nucleus. Subsequent investigations utilizing CCK-8 assays and colony formation assays revealed that the knockdown of LINC00923 and LINC01341 effectively suppressed the proliferation of H226 and H1703 cells. Additionally, transwell assays showed that knockdown of LINC00923 and LINC01341 significantly attenuated the invasive and migratory capacities of H226 and H1703 cells. CONCLUSION: This study has identified 12 candidate lncRNA associated with prognostic implications, among which LINC00923 and LINC01341 exhibit potential as markers for the prediction of LUSC outcomes. Frontiers Media S.A. 2023-10-25 /pmc/articles/PMC10642190/ /pubmed/37965447 http://dx.doi.org/10.3389/fonc.2023.1240868 Text en Copyright © 2023 Cui, Wu, Zhang, Zhu, Su, Kong, Zheng and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Cui, Yishuang
Wu, Yanan
Zhang, Mengshi
Zhu, Yingze
Su, Xin
Kong, Wenyue
Zheng, Xuan
Sun, Guogui
Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title_full Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title_fullStr Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title_full_unstemmed Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title_short Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data
title_sort identification of prognosis-related lncrnas and cell validation in lung squamous cell carcinoma based on tcga data
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642190/
https://www.ncbi.nlm.nih.gov/pubmed/37965447
http://dx.doi.org/10.3389/fonc.2023.1240868
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