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

Ítalo Faria Valle, Giulia Menichetti, Giorgia Simonetti, Samantha Bruno, Isabella Zironi, Danielle Fernandes Durso, José C. M. Mombach, Giovanni Martinelli, Gastone Castellani and Daniel Remondini ()
Additional contact information
Ítalo Faria Valle: University of Bologna
Giulia Menichetti: Northeastern University
Giorgia Simonetti: University of Bologna and Institute of Hematology “L. and A. Seràgnoli”
Samantha Bruno: University of Bologna and Institute of Hematology “L. and A. Seràgnoli”
Isabella Zironi: University of Bologna
Danielle Fernandes Durso: University of Bologna and Institute of Hematology “L. and A. Seràgnoli”
José C. M. Mombach: Universidade Federal de Santa Maria
Giovanni Martinelli: University of Bologna and Institute of Hematology “L. and A. Seràgnoli”
Gastone Castellani: University of Bologna
Daniel Remondini: University of Bologna

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: Abstract We characterize different tumour types in search for multi-tumour drug targets, in particular aiming for drug repurposing and novel drug combinations. Starting from 11 tumour types from The Cancer Genome Atlas, we obtain three clusters based on transcriptomic correlation profiles. A network-based analysis, integrating gene expression profiles and protein interactions of cancer-related genes, allows us to define three cluster-specific signatures, with genes belonging to NF-κB signaling, chromosomal instability, ubiquitin-proteasome system, DNA metabolism, and apoptosis biological processes. These signatures have been characterized by different approaches based on mutational, pharmacological and clinical evidences, demonstrating the validity of our selection. Moreover, we define new pharmacological strategies validated by in vitro experiments that show inhibition of cell growth in two tumour cell lines, with significant synergistic effect. Our study thus provides a list of genes and pathways that could possibly be used, singularly or in combination, for the design of novel treatment strategies.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-018-06992-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06992-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-06992-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().