Identification of biomarkers in breast cancer metastasis by integrating protein-protein interaction network and gene expression data

Md Jamiul Jahid, Jianhua Ruan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Identification of biomarkers for breast cancer metastasis is a well studied problem. Recently, several large-scale studies used gene expression data to identify markers related to metastatic process. However, it was shown that these gene expression based markers often have low reproducibility across different data sets, for a number of reasons. These include small sample sizes compared to the number of genes, gene expression variations between individuals that do not contribute to the metastasis process, and the limitation for microarray technology being unable to detect changes beyond transcriptional level. Here a graph-theoretical approach based on the topology of protein-protein interaction (PPI) networks is proposed for biomarker discovery. The idea is to identify a set of genes that give connectivity to differentially expressed (DE) genes in a PPI network, based on the key observation that biomarkers may provide functional linkage to DE genes in PPI networks. Our approach is applied to two breast cancer microarray datasets for biomarker discovery. Those biomarkers have a significant number of known cancer susceptibility genes among them and are significantly enriched in biological processes and pathways that are involved in carcinogenic process. Furthermore, markers selected by our method have a higher stability across the two datasets than in the previous studies. Therefore, the approach described in this study is a new way to identify novel biomarkers for cancer metastasis and can potentially improve the understanding of carcinogenesis dynamics.

Original languageEnglish (US)
Title of host publicationProceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
PublisherIEEE Computer Society
Pages60-63
Number of pages4
ISBN (Print)9781467304900
DOIs
StatePublished - Jan 1 2011
Externally publishedYes
Event2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duration: Dec 4 2011Dec 6 2011

Publication series

NameProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)2150-3001
ISSN (Electronic)2150-301X

Other

Other2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
CountryUnited States
CitySan Antonio, TX
Period12/4/1112/6/11

Keywords

  • Biomarker
  • Differentially expressed genes
  • Gene expression data
  • Metastasis
  • Protein protein interaction network

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Jahid, M. J., & Ruan, J. (2011). Identification of biomarkers in breast cancer metastasis by integrating protein-protein interaction network and gene expression data. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 (pp. 60-63). [6169443] (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). IEEE Computer Society. https://doi.org/10.1109/gensips.2011.6169443