Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.


ABSTRACT: Background: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. Methods: Using Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 59 patients with operable laryngeal cancer. All patients were treated locally with surgery, with or without radiation therapy. We performed Cox regression proportional hazards modeling to identify multigene predictors of recurrence. The end-point of our analysis was disease-free survival (DFS). Gene models were directly validated in a separate, similarly treated coh

ORGANISM(S): Homo sapiens

SUBMITTER: elena fountzilas 

PROVIDER: E-GEOD-27020 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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