Relation of a hypoxia metagene derived from head and neck cancer to prognosis of multiple cancers

Affymetrix U133plus2 GeneChips were used to profile 59 head and neck squamous cell cancers. A hypoxia metagene was obtained by analysis of genes whose in vivo expression clustered with the expression of 10 well-known hypoxia-regulated genes (e.g., CA9, GLUT1, and VEGF). To minimize random aggregatio...

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Veröffentlicht in:Cancer research (Chicago, Ill.) Jg. 67; H. 7; S. 3441
Hauptverfasser: Winter, Stuart C, Buffa, Francesca M, Silva, Priyamal, Miller, Crispin, Valentine, Helen R, Turley, Helen, Shah, Ketan A, Cox, Graham J, Corbridge, Rogan J, Homer, Jarrod J, Musgrove, Brian, Slevin, Nick, Sloan, Philip, Price, Pat, West, Catharine M L, Harris, Adrian L
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.04.2007
Schlagworte:
Adult
Aged
Aged, 80 and over
Carcinoma, Squamous Cell - genetics
Carcinoma, Squamous Cell - metabolism
Cell Hypoxia - genetics
Female
Gene Expression Regulation, Neoplastic
Head and Neck Neoplasms - genetics
Head and Neck Neoplasms - metabolism
Humans
Male
Middle Aged
Multigene Family
Oligonucleotide Array Sequence Analysis
Prognosis
RNA, Messenger - biosynthesis
RNA, Messenger - genetics
RNA, Neoplasm - biosynthesis
RNA, Neoplasm - genetics
Up-Regulation
ISSN:0008-5472
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Zusammenfassung:Affymetrix U133plus2 GeneChips were used to profile 59 head and neck squamous cell cancers. A hypoxia metagene was obtained by analysis of genes whose in vivo expression clustered with the expression of 10 well-known hypoxia-regulated genes (e.g., CA9, GLUT1, and VEGF). To minimize random aggregation, strongly correlated up-regulated genes appearing in >50% of clusters defined a signature comprising 99 genes, of which 27% were previously known to be hypoxia associated. The median RNA expression of the 99 genes in the signature was an independent prognostic factor for recurrence-free survival in a publicly available head and neck cancer data set, outdoing the original intrinsic classifier. In a published breast cancer series, the hypoxia signature was a significant prognostic factor for overall survival independent of clinicopathologic risk factors and a trained profile. The work highlights the validity and potential of using data from analysis of in vitro stress pathways for deriving a biological metagene/gene signature in vivo.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0008-5472
DOI:10.1158/0008-5472.can-06-3322