Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

ABSTRACT:

Background

Patients suffering from cancer are often treated with a range of chemotherapeutic agents, but the treatment efficacy varies greatly between patients. Based on recent popularisation of regularised regression models the goal of this study was to establish workflows for pharmacogenomic predictors of response to standard multidrug regimens using baseline gene expression data and origin specific cell lines. The proposed workflows are tested on diffuse large B-cell lymphoma treated with R-CHOP first-line therapy.

Methods

First, B-cell cancer cell lines were tested successively for resistance towards the chemotherapeutic components of R-CHOP: cyclophosphamide (C), doxorubicin (H), and vincristine (O). Second, baseline gene expression data were obtained for each cell line

SUBMITTER: Falgreen S 

PROVIDER: S-EPMC4396063 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature