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PMID: 15184677 Published · ppublish English Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM

Abstract

Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the intersection of multiple gene expression signatures from a diverse collection of microarray data sets. We collected and analyzed 40 published cancer microarray data sets, comprising 38 million gene expression measurements from >3,700 cancer samples. From this, we characterized a common transcriptional profile that is universally activated in most cancer types relative to the normal tissues from which they arose, likely reflecting essential transcriptional features of neoplastic transformation. In addition, we characterized a transcriptional profile that is commonly activated in various types of undifferentiated cancer, suggesting common molecular mechanisms by which cancer cells progress and avoid differentiation. Finally, we validated these transcriptional profiles on independent data sets.

MeSH Terms
Cell Transformation, Neoplastic/genetics Disease Progression Gene Expression Profiling Humans Neoplasms/genetics,pathology Oligonucleotide Array Sequence Analysis Transcription, Genetic/genetics
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Rhodes Daniel R
Department of Pathology, University of Michigan Medical School, Ann Arbor, 48109, USA.
Yu Jianjun
Shanker K
Deshpande Nandan
Varambally Radhika
Ghosh Debashis
Barrette Terrence
Pandey Akhilesh
Chinnaiyan Arul M
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2004-06-22
Epub
2004-00-07
Pages
9309-14
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC438973
Subset
IM
Grants
NIGMS NIH HHS · R01 GM072007-02 · United States
NCI NIH HHS · P30 CA046592 · United States
NIGMS NIH HHS · R01 GM072007 · United States
NCI NIH HHS · 5P30 CA46592 · United States
NCI NIH HHS · P50 CA69568 · United States
NCI NIH HHS · P50 CA069568 · United States
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