Gene expression profiling for survival prediction in pediatric rhabdomyosarcomas: a report from the children's oncology group.

ABSTRACT:

Purpose

We investigated whether tumors from diagnostic biopsies of primary rhabdomyosarcoma (RMS) contain relevant prognostic information in the form of gene expression signatures that can be used to model and predict outcome of patients.

Patients and methods

A 22,000-probe set microarray was used to evaluate 120 RMS specimens and correlate gene expression patterns to survival. Multivariate gene expression models or metagenes were developed using cross-validated Cox regression proportional hazards modeling and were evaluated using Kaplan-Meier analysis.

Results

A 34-metagene, based on expression patterns of 34 genes, was highly predictive of outcome. It was not highly correlated with individual clinical risk factors such as patient age, stage, tumor size, or histology

SUBMITTER: Davicioni E 

PROVIDER: S-EPMC3040045 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature