Cargando…

PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers

Despite improvement in our understanding of long noncoding RNAs (lncRNAs) role in cancer, efforts to find clinically relevant cancer-associated lncRNAs are still lacking. Here, using nascent RNA capture sequencing, we identify 1145 temporally expressed S-phase-enriched lncRNAs. Among these, 570 lncR...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Mohamad Moustafa, Akhade, Vijay Suresh, Kosalai, Subazini Thankaswamy, Subhash, Santhilal, Statello, Luisa, Meryet-Figuiere, Matthieu, Abrahamsson, Jonas, Mondal, Tanmoy, Kanduri, Chandrasekhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830406/
https://www.ncbi.nlm.nih.gov/pubmed/29491376
http://dx.doi.org/10.1038/s41467-018-03265-1
_version_ 1783302991163424768
author Ali, Mohamad Moustafa
Akhade, Vijay Suresh
Kosalai, Subazini Thankaswamy
Subhash, Santhilal
Statello, Luisa
Meryet-Figuiere, Matthieu
Abrahamsson, Jonas
Mondal, Tanmoy
Kanduri, Chandrasekhar
author_facet Ali, Mohamad Moustafa
Akhade, Vijay Suresh
Kosalai, Subazini Thankaswamy
Subhash, Santhilal
Statello, Luisa
Meryet-Figuiere, Matthieu
Abrahamsson, Jonas
Mondal, Tanmoy
Kanduri, Chandrasekhar
author_sort Ali, Mohamad Moustafa
collection PubMed
description Despite improvement in our understanding of long noncoding RNAs (lncRNAs) role in cancer, efforts to find clinically relevant cancer-associated lncRNAs are still lacking. Here, using nascent RNA capture sequencing, we identify 1145 temporally expressed S-phase-enriched lncRNAs. Among these, 570 lncRNAs show significant differential expression in at least one tumor type across TCGA data sets. Systematic clinical investigation of 14 Pan-Cancer data sets identified 633 independent prognostic markers. Silencing of the top differentially expressed and clinically relevant S-phase-enriched lncRNAs in several cancer models affects crucial cancer cell hallmarks. Mechanistic investigations on SCAT7 in multiple cancer types reveal that it interacts with hnRNPK/YBX1 complex and affects cancer cell hallmarks through the regulation of FGF/FGFR and its downstream PI3K/AKT and MAPK pathways. We also implement a LNA-antisense oligo-based strategy to treat cancer cell line and patient-derived tumor (PDX) xenografts. Thus, this study provides a comprehensive list of lncRNA-based oncogenic drivers with potential prognostic value.
format Online
Article
Text
id pubmed-5830406
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-58304062018-03-05 PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers Ali, Mohamad Moustafa Akhade, Vijay Suresh Kosalai, Subazini Thankaswamy Subhash, Santhilal Statello, Luisa Meryet-Figuiere, Matthieu Abrahamsson, Jonas Mondal, Tanmoy Kanduri, Chandrasekhar Nat Commun Article Despite improvement in our understanding of long noncoding RNAs (lncRNAs) role in cancer, efforts to find clinically relevant cancer-associated lncRNAs are still lacking. Here, using nascent RNA capture sequencing, we identify 1145 temporally expressed S-phase-enriched lncRNAs. Among these, 570 lncRNAs show significant differential expression in at least one tumor type across TCGA data sets. Systematic clinical investigation of 14 Pan-Cancer data sets identified 633 independent prognostic markers. Silencing of the top differentially expressed and clinically relevant S-phase-enriched lncRNAs in several cancer models affects crucial cancer cell hallmarks. Mechanistic investigations on SCAT7 in multiple cancer types reveal that it interacts with hnRNPK/YBX1 complex and affects cancer cell hallmarks through the regulation of FGF/FGFR and its downstream PI3K/AKT and MAPK pathways. We also implement a LNA-antisense oligo-based strategy to treat cancer cell line and patient-derived tumor (PDX) xenografts. Thus, this study provides a comprehensive list of lncRNA-based oncogenic drivers with potential prognostic value. Nature Publishing Group UK 2018-02-28 /pmc/articles/PMC5830406/ /pubmed/29491376 http://dx.doi.org/10.1038/s41467-018-03265-1 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ali, Mohamad Moustafa
Akhade, Vijay Suresh
Kosalai, Subazini Thankaswamy
Subhash, Santhilal
Statello, Luisa
Meryet-Figuiere, Matthieu
Abrahamsson, Jonas
Mondal, Tanmoy
Kanduri, Chandrasekhar
PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title_full PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title_fullStr PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title_full_unstemmed PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title_short PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers
title_sort pan-cancer analysis of s-phase enriched lncrnas identifies oncogenic drivers and biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830406/
https://www.ncbi.nlm.nih.gov/pubmed/29491376
http://dx.doi.org/10.1038/s41467-018-03265-1
work_keys_str_mv AT alimohamadmoustafa pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT akhadevijaysuresh pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT kosalaisubazinithankaswamy pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT subhashsanthilal pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT statelloluisa pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT meryetfiguierematthieu pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT abrahamssonjonas pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT mondaltanmoy pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers
AT kandurichandrasekhar pancanceranalysisofsphaseenrichedlncrnasidentifiesoncogenicdriversandbiomarkers