作者: Thomas J. Belbin , Michael B. Prystowsky , Ilana Barber , Richard Smith , Geoffrey Childs
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摘要: Squamous cell carcinomas of the head and neck constitute an anatomically heterogeneous group neoplasms that share in common a causal association with tobacco alcohol exposure. The clinical course these is difficult to predict based on established prognostic clinicopathological criteria. Given genetic complexity cancers, it not surprising correlations individual abnormalities have also been disappointing. Several authors suggested global gene expression patterns can be used subgroup patients cancer. Here we report use cDNA microarrays containing 9216 clones measure neoplasms. We statistical algorithm identify 375 genes, which divide tumors into two clinically distinct subgroups patterns. Our results demonstrate profiling as predictor outcome.