Network integration of multi-tumour omics data suggests novel targeting strategies

Tumours of different tissues can show similarities in genomic alterations. Here, the authors combine tumour transcriptome and protein interaction data in a network-based analysis of 11 tumours types, and identify clusters of tumours with specific signatures for multi-tumour drug targeting and surviv...

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Autores principales:	Ítalo Faria do Valle, Giulia Menichetti, Giorgia Simonetti, Samantha Bruno, Isabella Zironi, Danielle Fernandes Durso, José C. M. Mombach, Giovanni Martinelli, Gastone Castellani, Daniel Remondini
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5fa77c06df534b5ba2056f1e49081b83
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spelling	oai:doaj.org-article:5fa77c06df534b5ba2056f1e49081b832021-12-02T16:50:11ZNetwork integration of multi-tumour omics data suggests novel targeting strategies10.1038/s41467-018-06992-72041-1723https://doaj.org/article/5fa77c06df534b5ba2056f1e49081b832018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06992-7https://doaj.org/toc/2041-1723Tumours of different tissues can show similarities in genomic alterations. Here, the authors combine tumour transcriptome and protein interaction data in a network-based analysis of 11 tumours types, and identify clusters of tumours with specific signatures for multi-tumour drug targeting and survival prognosis.Ítalo Faria do ValleGiulia MenichettiGiorgia SimonettiSamantha BrunoIsabella ZironiDanielle Fernandes DursoJosé C. M. MombachGiovanni MartinelliGastone CastellaniDaniel RemondiniNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ítalo Faria do Valle Giulia Menichetti Giorgia Simonetti Samantha Bruno Isabella Zironi Danielle Fernandes Durso José C. M. Mombach Giovanni Martinelli Gastone Castellani Daniel Remondini Network integration of multi-tumour omics data suggests novel targeting strategies
description	Tumours of different tissues can show similarities in genomic alterations. Here, the authors combine tumour transcriptome and protein interaction data in a network-based analysis of 11 tumours types, and identify clusters of tumours with specific signatures for multi-tumour drug targeting and survival prognosis.
format	article
author	Ítalo Faria do Valle Giulia Menichetti Giorgia Simonetti Samantha Bruno Isabella Zironi Danielle Fernandes Durso José C. M. Mombach Giovanni Martinelli Gastone Castellani Daniel Remondini
author_facet	Ítalo Faria do Valle Giulia Menichetti Giorgia Simonetti Samantha Bruno Isabella Zironi Danielle Fernandes Durso José C. M. Mombach Giovanni Martinelli Gastone Castellani Daniel Remondini
author_sort	Ítalo Faria do Valle
title	Network integration of multi-tumour omics data suggests novel targeting strategies
title_short	Network integration of multi-tumour omics data suggests novel targeting strategies
title_full	Network integration of multi-tumour omics data suggests novel targeting strategies
title_fullStr	Network integration of multi-tumour omics data suggests novel targeting strategies
title_full_unstemmed	Network integration of multi-tumour omics data suggests novel targeting strategies
title_sort	network integration of multi-tumour omics data suggests novel targeting strategies
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/5fa77c06df534b5ba2056f1e49081b83
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Network integration of multi-tumour omics data suggests novel targeting strategies

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