Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

Tae Hyun Hwang, Gowtham Atluri, Rui Kuang, Vipin Kumar, Timothy Starr, Kevin A T Silverstein, Peter M. Haverty, Zemin Zhang, Jinfeng Liu

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Background: Many large-scale studies analyzed high-throughput genomic data to identify altered pathways essential to the development and progression of specific types of cancer. However, no previous study has been extended to provide a comprehensive analysis of pathways disrupted by copy number alterations across different human cancers. Towards this goal, we propose a network-based method to integrate copy number alteration data with human protein-protein interaction networks and pathway databases to identify pathways that are commonly disrupted in many different types of cancer.Results: We applied our approach to a data set of 2,172 cancer patients across 16 different types of cancers, and discovered a set of commonly disrupted pathways, which are likely essential for tumor formation in majority of the cancers. We also identified pathways that are only disrupted in specific cancer types, providing molecular markers for different human cancers. Analysis with independent microarray gene expression datasets confirms that the commonly disrupted pathways can be used to identify patient subgroups with significantly different survival outcomes. We also provide a network view of disrupted pathways to explain how copy number alterations affect pathways that regulate cell growth, cycle, and differentiation for tumorigenesis.Conclusions: In this work, we demonstrated that the network-based integrative analysis can help to identify pathways disrupted by copy number alterations across 16 types of human cancers, which are not readily identifiable by conventional overrepresentation-based and other pathway-based methods. All the results and source code are available at http://compbio.cs.umn.edu/NetPathID/.

Original languageEnglish (US)
Article number440
JournalBMC Genomics
Volume14
Issue number1
DOIs
StatePublished - Jul 3 2013

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Neoplasms
Protein Interaction Maps
Cell Differentiation
Cell Cycle
Carcinogenesis
Databases
Gene Expression
Survival
Growth
Proteins
Datasets

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

Cite this

Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers. / Hwang, Tae Hyun; Atluri, Gowtham; Kuang, Rui; Kumar, Vipin; Starr, Timothy; Silverstein, Kevin A T; Haverty, Peter M.; Zhang, Zemin; Liu, Jinfeng.

In: BMC Genomics, Vol. 14, No. 1, 440, 03.07.2013.

Research output: Contribution to journalArticle

Hwang, TH, Atluri, G, Kuang, R, Kumar, V, Starr, T, Silverstein, KAT, Haverty, PM, Zhang, Z & Liu, J 2013, 'Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers', BMC Genomics, vol. 14, no. 1, 440. https://doi.org/10.1186/1471-2164-14-440
Hwang, Tae Hyun ; Atluri, Gowtham ; Kuang, Rui ; Kumar, Vipin ; Starr, Timothy ; Silverstein, Kevin A T ; Haverty, Peter M. ; Zhang, Zemin ; Liu, Jinfeng. / Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers. In: BMC Genomics. 2013 ; Vol. 14, No. 1.
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