Unknown,Transcriptomics,Genomics,Proteomics

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A 50-Gene Predictor of Recurrence as a Guide to Therapy in Early-Stage Colon Cancer.


ABSTRACT: Gene expression profiles reflect unique aspects of individual biologic phenotypes and may characterize the heterogeneity of solid tumors. Using previously-described methodologies that employ DNA microarray data, a 50-gene expression profile (metagene) that predicts risk of recurrence in early stage colon carcinoma was identified. This analysis used an initial discovery cohort of 52 patients. The performance of the 50-gene predictor was evaluated in an independent validation cohort of 73 patients. Using a connectivity map analysis of the 50-gene model, we identified candidate agents and then tested the in vitro efficacy of these compounds in colon cancer cell lines. 73 samples that had patient recurrence data with stage information were used in the analysis. Keywords: Disease state analysis A total of 73 samples were spotted on microarray slides. No replicates are included in the study.

ORGANISM(S): Homo sapiens

SUBMITTER: Anil Potti 

PROVIDER: E-GEOD-10402 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities.

Garman Katherine S KS   Acharya Chaitanya R CR   Edelman Elena E   Grade Marian M   Gaedcke Jochen J   Sud Shivani S   Barry William W   Diehl Anna Mae AM   Provenzale Dawn D   Ginsburg Geoffrey S GS   Ghadimi B Michael BM   Ried Thomas T   Nevins Joseph R JR   Mukherjee Sayan S   Hsu David D   Potti Anil A  

Proceedings of the National Academy of Sciences of the United States of America 20081202 49


Gene expression profiles provide an opportunity to dissect the heterogeneity of solid tumors, including colon cancer, to improve prognosis and predict response to therapies. Bayesian binary regression methods were used to generate a signature of disease recurrence in patients with resected early stage colon cancer validated in an independent cohort. A 50-gene signature was developed that effectively distinguished early stage colon cancer patients with a low or high risk of disease recurrence. RT  ...[more]

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