Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer

Head and neck cancer (HNC) is one of the most prevalent cancers worldwide, accounting for approximately 5% of all cancers. While the underlying molecules and their pathogenetic mechanisms in HNC have yet to be well elucidated, recent studies have shown that dysregulation of lncRNAs may disrupt the h...

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Main Authors: Shang-Ju Tang, Guo-Rong You, Joseph T. Chang, Ann-Joy Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.731752/full
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author Shang-Ju Tang
Shang-Ju Tang
Guo-Rong You
Joseph T. Chang
Joseph T. Chang
Ann-Joy Cheng
Ann-Joy Cheng
Ann-Joy Cheng
author_facet Shang-Ju Tang
Shang-Ju Tang
Guo-Rong You
Joseph T. Chang
Joseph T. Chang
Ann-Joy Cheng
Ann-Joy Cheng
Ann-Joy Cheng
author_sort Shang-Ju Tang
collection DOAJ
description Head and neck cancer (HNC) is one of the most prevalent cancers worldwide, accounting for approximately 5% of all cancers. While the underlying molecules and their pathogenetic mechanisms in HNC have yet to be well elucidated, recent studies have shown that dysregulation of lncRNAs may disrupt the homeostasis of various biological pathways. However, the understanding of lncRNAs in HNC is still limited by the lack of expression profiling. In the present study, we employed a systematic strategy to identify a panel of lncRNA associated with HNC. A cancer-related lncRNA profile PCR array was screened to explore potential molecules specific for HNC. A total of 55 lncRNAs were found to be dysregulated in HNC cells when compared to normal keratinocytes. Further analysis of the prognostic significance using The Cancer Genome Atlas (TCGA) database revealed 15 lncRNAs highly correlated with overall survival in HNC patients. Additionally, clinical sample expression analysis of the TCGA-HNSC cohort revealed 16 highly dysregulated lncRNAs in HNC, resulting in a combined 31-lncRNA signature panel that could predict prognosis. Validation of these molecules confirmed the considerable level of altered expressions in HNC cells, with XIST, HOXA11-AS, TSIX, MALAT1, WT1-AS, and IPW being the most prominently dysregulated. We further selected a molecule from our panel (XIST) to confirm the validity of these lncRNAs in the regulation of cancer aggressiveness. Gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses demonstrated that XIST participated in various cancer-related functions, including cell proliferation and metastasis. XIST silencing with the RNAi technique substantially reduced invasion and migration in several HNC cell lines. Thus, our study defined a 31-lncRNA panel as prognostic signatures in HNC. These perspective results provide a knowledge foundation for further application of these molecules in precision medicine.
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spelling doaj.art-569099d4bab9497cbebb589745c75b7c2022-12-21T23:33:34ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-10-011110.3389/fonc.2021.731752731752Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck CancerShang-Ju Tang0Shang-Ju Tang1Guo-Rong You2Joseph T. Chang3Joseph T. Chang4Ann-Joy Cheng5Ann-Joy Cheng6Ann-Joy Cheng7Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, TaiwanGraduate Institute of Biomedical Sciences, College of Medicine, Change Gung University, Taoyuan, TaiwanDepartment of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Radiation Oncology, Chang Gung Memorial Hospital, Taoyuan, TaiwanDepartment of Medical School, College of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, TaiwanGraduate Institute of Biomedical Sciences, College of Medicine, Change Gung University, Taoyuan, TaiwanDepartment of Radiation Oncology, Chang Gung Memorial Hospital, Taoyuan, TaiwanHead and neck cancer (HNC) is one of the most prevalent cancers worldwide, accounting for approximately 5% of all cancers. While the underlying molecules and their pathogenetic mechanisms in HNC have yet to be well elucidated, recent studies have shown that dysregulation of lncRNAs may disrupt the homeostasis of various biological pathways. However, the understanding of lncRNAs in HNC is still limited by the lack of expression profiling. In the present study, we employed a systematic strategy to identify a panel of lncRNA associated with HNC. A cancer-related lncRNA profile PCR array was screened to explore potential molecules specific for HNC. A total of 55 lncRNAs were found to be dysregulated in HNC cells when compared to normal keratinocytes. Further analysis of the prognostic significance using The Cancer Genome Atlas (TCGA) database revealed 15 lncRNAs highly correlated with overall survival in HNC patients. Additionally, clinical sample expression analysis of the TCGA-HNSC cohort revealed 16 highly dysregulated lncRNAs in HNC, resulting in a combined 31-lncRNA signature panel that could predict prognosis. Validation of these molecules confirmed the considerable level of altered expressions in HNC cells, with XIST, HOXA11-AS, TSIX, MALAT1, WT1-AS, and IPW being the most prominently dysregulated. We further selected a molecule from our panel (XIST) to confirm the validity of these lncRNAs in the regulation of cancer aggressiveness. Gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses demonstrated that XIST participated in various cancer-related functions, including cell proliferation and metastasis. XIST silencing with the RNAi technique substantially reduced invasion and migration in several HNC cell lines. Thus, our study defined a 31-lncRNA panel as prognostic signatures in HNC. These perspective results provide a knowledge foundation for further application of these molecules in precision medicine.https://www.frontiersin.org/articles/10.3389/fonc.2021.731752/fulllncRNA - long noncoding RNAhead and neck cancerprognostic panelXIST (X-inactive specific transcript)altered gene expression
spellingShingle Shang-Ju Tang
Shang-Ju Tang
Guo-Rong You
Joseph T. Chang
Joseph T. Chang
Ann-Joy Cheng
Ann-Joy Cheng
Ann-Joy Cheng
Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
Frontiers in Oncology
lncRNA - long noncoding RNA
head and neck cancer
prognostic panel
XIST (X-inactive specific transcript)
altered gene expression
title Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
title_full Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
title_fullStr Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
title_full_unstemmed Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
title_short Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer
title_sort systematic analysis and identification of dysregulated panel lncrnas contributing to poor prognosis in head neck cancer
topic lncRNA - long noncoding RNA
head and neck cancer
prognostic panel
XIST (X-inactive specific transcript)
altered gene expression
url https://www.frontiersin.org/articles/10.3389/fonc.2021.731752/full
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