Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials.

ABSTRACT:

Background

Gene expression signatures for the prediction of differential survival of patients undergoing anti-cancer therapies are of great interest because they can be used to prospectively stratify patients entering new clinical trials, or to determine optimal treatment for patients in more routine clinical settings. Unlike prognostic signatures however, predictive signatures require training set data from clinical studies with at least two treatment arms. As two-arm studies with gene expression profiling have been rarer than similar one-arm studies, the methodology for constructing and optimizing predictive signatures has been less prominently explored than for prognostic signatures.

Results

Focusing on two "use cases" of two-arm clinical trials, one for metastatic colore

SUBMITTER: Theilhaber J 

PROVIDER: S-EPMC7382041 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature