Identification and validation of gene expression models that predict clinical outcome in patients with early stage laryngeal cancer

ABSTRACT: Background Despite improvement in diagnostic and therapeutic techniques, a significant percentage of patients with early stage laryngeal cancer still recur after treatment. Gene expression models prognostic of recurrence risk could suggest which patients with early stage laryngeal cancer would be more appropriate for testing adjuvant strategies. Patients and Methods Expression profiling using whole genome DASL arrays was performed on 56 formalin-fixed paraffin-embedded tumor samples of patients with early stage laryngeal cancer, treated with surgery or radiation therapy. We split the samples into a training set and a validation set. Using the supervised principal components survival analysis in the first cohort, we identified multiple gene expression profiles that predict the risk of recu

ORGANISM(S): Homo sapiens

SUBMITTER: elena fountzilas 

PROVIDER: E-GEOD-25727 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress