Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection

Autores
Nohata, Nijiro; Abba, Martín Carlos; Gutkind, J. Silvio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
SummaryObjectives The role of long non-coding RNA (lncRNA) expression in human head and neck squamous cell carcinoma (HNSCC) is still poorly understood. In this study, we aimed at establishing the onco-lncRNAome profiling of HNSCC and to identify lncRNAs correlating with prognosis and patient survival. Materials and methods The Atlas of Noncoding RNAs in Cancer (TANRIC) database was employed to retrieve the lncRNA expression information generated from The Cancer Genome Atlas (TCGA) HNSCC RNA-sequencing data. RNA-sequencing data from HNSCC cell lines were also considered for this study. Bioinformatics approaches, such as differential gene expression analysis, survival analysis, principal component analysis, and Co-LncRNA enrichment analysis were performed. Results Using TCGA HNSCC RNA-sequencing data from 426 HNSCC and 42 adjacent normal tissues, we found 728 lncRNA transcripts significantly and differentially expressed in HNSCC. Among the 728 lncRNAs, 55 lncRNAs were significantly associated with poor prognosis, such as overall survival and/or disease-free survival. Next, we found 140 lncRNA transcripts significantly and differentially expressed between Human Papilloma Virus (HPV) positive tumors and HPV negative tumors. Thirty lncRNA transcripts were differentially expressed between TP53 mutated and TP53 wild type tumors. Co-LncRNA analysis suggested that protein-coding genes that are co-expressed with these deregulated lncRNAs might be involved in cancer associated molecular events. With consideration of differential expression of lncRNAs in a HNSCC cell lines panel (n = 22), we found several lncRNAs that may represent potential targets for diagnosis, therapy and prevention of HNSCC. Conclusion LncRNAs profiling could provide novel insights into the potential mechanisms of HNSCC oncogenesis.
Fil: Nohata, Nijiro. University of California; Estados Unidos
Fil: Abba, Martín Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Médicas; Argentina
Fil: Gutkind, J. Silvio. University of California; Estados Unidos
Materia
Long Non-Coding
Rnarna-Sequencing
Head And Neck Squamous Cell Carcinoma (Hnscc)
Human Papilloma Virus (Hpv)
Tp53
Tcga
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/48516

id CONICETDig_3a2f46114e3a61334a2338d179513521
oai_identifier_str oai:ri.conicet.gov.ar:11336/48516
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infectionNohata, NijiroAbba, Martín CarlosGutkind, J. SilvioLong Non-CodingRnarna-SequencingHead And Neck Squamous Cell Carcinoma (Hnscc)Human Papilloma Virus (Hpv)Tp53Tcgahttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1SummaryObjectives The role of long non-coding RNA (lncRNA) expression in human head and neck squamous cell carcinoma (HNSCC) is still poorly understood. In this study, we aimed at establishing the onco-lncRNAome profiling of HNSCC and to identify lncRNAs correlating with prognosis and patient survival. Materials and methods The Atlas of Noncoding RNAs in Cancer (TANRIC) database was employed to retrieve the lncRNA expression information generated from The Cancer Genome Atlas (TCGA) HNSCC RNA-sequencing data. RNA-sequencing data from HNSCC cell lines were also considered for this study. Bioinformatics approaches, such as differential gene expression analysis, survival analysis, principal component analysis, and Co-LncRNA enrichment analysis were performed. Results Using TCGA HNSCC RNA-sequencing data from 426 HNSCC and 42 adjacent normal tissues, we found 728 lncRNA transcripts significantly and differentially expressed in HNSCC. Among the 728 lncRNAs, 55 lncRNAs were significantly associated with poor prognosis, such as overall survival and/or disease-free survival. Next, we found 140 lncRNA transcripts significantly and differentially expressed between Human Papilloma Virus (HPV) positive tumors and HPV negative tumors. Thirty lncRNA transcripts were differentially expressed between TP53 mutated and TP53 wild type tumors. Co-LncRNA analysis suggested that protein-coding genes that are co-expressed with these deregulated lncRNAs might be involved in cancer associated molecular events. With consideration of differential expression of lncRNAs in a HNSCC cell lines panel (n = 22), we found several lncRNAs that may represent potential targets for diagnosis, therapy and prevention of HNSCC. Conclusion LncRNAs profiling could provide novel insights into the potential mechanisms of HNSCC oncogenesis.Fil: Nohata, Nijiro. University of California; Estados UnidosFil: Abba, Martín Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Médicas; ArgentinaFil: Gutkind, J. Silvio. University of California; Estados UnidosElsevier Science2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/48516Nohata, Nijiro; Abba, Martín Carlos; Gutkind, J. Silvio; Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection; Elsevier Science; Oral Oncology.; 59; 8-2016; 58-661368-8375CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.oraloncology.2016.05.014info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1368837516300604info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729891/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:25Zoai:ri.conicet.gov.ar:11336/48516instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:25.476CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
title Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
spellingShingle Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
Nohata, Nijiro
Long Non-Coding
Rnarna-Sequencing
Head And Neck Squamous Cell Carcinoma (Hnscc)
Human Papilloma Virus (Hpv)
Tp53
Tcga
title_short Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
title_full Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
title_fullStr Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
title_full_unstemmed Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
title_sort Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection
dc.creator.none.fl_str_mv Nohata, Nijiro
Abba, Martín Carlos
Gutkind, J. Silvio
author Nohata, Nijiro
author_facet Nohata, Nijiro
Abba, Martín Carlos
Gutkind, J. Silvio
author_role author
author2 Abba, Martín Carlos
Gutkind, J. Silvio
author2_role author
author
dc.subject.none.fl_str_mv Long Non-Coding
Rnarna-Sequencing
Head And Neck Squamous Cell Carcinoma (Hnscc)
Human Papilloma Virus (Hpv)
Tp53
Tcga
topic Long Non-Coding
Rnarna-Sequencing
Head And Neck Squamous Cell Carcinoma (Hnscc)
Human Papilloma Virus (Hpv)
Tp53
Tcga
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv SummaryObjectives The role of long non-coding RNA (lncRNA) expression in human head and neck squamous cell carcinoma (HNSCC) is still poorly understood. In this study, we aimed at establishing the onco-lncRNAome profiling of HNSCC and to identify lncRNAs correlating with prognosis and patient survival. Materials and methods The Atlas of Noncoding RNAs in Cancer (TANRIC) database was employed to retrieve the lncRNA expression information generated from The Cancer Genome Atlas (TCGA) HNSCC RNA-sequencing data. RNA-sequencing data from HNSCC cell lines were also considered for this study. Bioinformatics approaches, such as differential gene expression analysis, survival analysis, principal component analysis, and Co-LncRNA enrichment analysis were performed. Results Using TCGA HNSCC RNA-sequencing data from 426 HNSCC and 42 adjacent normal tissues, we found 728 lncRNA transcripts significantly and differentially expressed in HNSCC. Among the 728 lncRNAs, 55 lncRNAs were significantly associated with poor prognosis, such as overall survival and/or disease-free survival. Next, we found 140 lncRNA transcripts significantly and differentially expressed between Human Papilloma Virus (HPV) positive tumors and HPV negative tumors. Thirty lncRNA transcripts were differentially expressed between TP53 mutated and TP53 wild type tumors. Co-LncRNA analysis suggested that protein-coding genes that are co-expressed with these deregulated lncRNAs might be involved in cancer associated molecular events. With consideration of differential expression of lncRNAs in a HNSCC cell lines panel (n = 22), we found several lncRNAs that may represent potential targets for diagnosis, therapy and prevention of HNSCC. Conclusion LncRNAs profiling could provide novel insights into the potential mechanisms of HNSCC oncogenesis.
Fil: Nohata, Nijiro. University of California; Estados Unidos
Fil: Abba, Martín Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Médicas; Argentina
Fil: Gutkind, J. Silvio. University of California; Estados Unidos
description SummaryObjectives The role of long non-coding RNA (lncRNA) expression in human head and neck squamous cell carcinoma (HNSCC) is still poorly understood. In this study, we aimed at establishing the onco-lncRNAome profiling of HNSCC and to identify lncRNAs correlating with prognosis and patient survival. Materials and methods The Atlas of Noncoding RNAs in Cancer (TANRIC) database was employed to retrieve the lncRNA expression information generated from The Cancer Genome Atlas (TCGA) HNSCC RNA-sequencing data. RNA-sequencing data from HNSCC cell lines were also considered for this study. Bioinformatics approaches, such as differential gene expression analysis, survival analysis, principal component analysis, and Co-LncRNA enrichment analysis were performed. Results Using TCGA HNSCC RNA-sequencing data from 426 HNSCC and 42 adjacent normal tissues, we found 728 lncRNA transcripts significantly and differentially expressed in HNSCC. Among the 728 lncRNAs, 55 lncRNAs were significantly associated with poor prognosis, such as overall survival and/or disease-free survival. Next, we found 140 lncRNA transcripts significantly and differentially expressed between Human Papilloma Virus (HPV) positive tumors and HPV negative tumors. Thirty lncRNA transcripts were differentially expressed between TP53 mutated and TP53 wild type tumors. Co-LncRNA analysis suggested that protein-coding genes that are co-expressed with these deregulated lncRNAs might be involved in cancer associated molecular events. With consideration of differential expression of lncRNAs in a HNSCC cell lines panel (n = 22), we found several lncRNAs that may represent potential targets for diagnosis, therapy and prevention of HNSCC. Conclusion LncRNAs profiling could provide novel insights into the potential mechanisms of HNSCC oncogenesis.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/48516
Nohata, Nijiro; Abba, Martín Carlos; Gutkind, J. Silvio; Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection; Elsevier Science; Oral Oncology.; 59; 8-2016; 58-66
1368-8375
CONICET Digital
CONICET
url http://hdl.handle.net/11336/48516
identifier_str_mv Nohata, Nijiro; Abba, Martín Carlos; Gutkind, J. Silvio; Unraveling the oral cancer lncRNAome: Identification of novel lncRNAs associated with malignant progression and HPV infection; Elsevier Science; Oral Oncology.; 59; 8-2016; 58-66
1368-8375
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.oraloncology.2016.05.014
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1368837516300604
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729891/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613993373630464
score 13.070432