Can we identify cellular pathways implicated in cancer using gene expression data?

N. Shah, J. Lepre, Y. Tu, G. Stolovitzky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The cancer state of a cell is characterized by alterations of important cellular processes such as cell proliferation, apoptosis, DNA-damage repair, etc. The expression of genes associated with cancer related pathways, therefore, may exhibit differences between the normal and the cancerous states. We explore various means to find these differences. We analyze 6 different pathways (p53, Ras, Brca, DNA damage repair, NFκb and β-catenin) and 4 different types of cancer: colon, pancreas, prostate and kidney. Our results are found to be mostly consistent with existing knowledge of the involvement of these pathways in different cancers. Our analysis constitutes proof of principle that it may be possible to predict the involvement of a particular pathway in cancer or other diseases by using gene expression data. Such method would be particularly useful for the types of diseases where biology is poorly understood.

Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages94-103
Number of pages10
ISBN (Electronic)0769520006, 9780769520001
DOIs
StatePublished - 2003
Externally publishedYes
Event2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003 - Stanford, United States
Duration: 11 Aug 200314 Aug 2003

Publication series

NameProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003

Conference

Conference2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003
Country/TerritoryUnited States
CityStanford
Period11/08/0314/08/03

Fingerprint

Dive into the research topics of 'Can we identify cellular pathways implicated in cancer using gene expression data?'. Together they form a unique fingerprint.

Cite this