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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/48516
Ver los metadatos del registro completo
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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) |
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CONICET Digital (CONICET) |
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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 |
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13.070432 |