Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from malignant human B-cell cell lines


ABSTRACT: We used global gene expression profiles from human B-cell cell lines to generate gene expression signatures for prediction of response to the drugs cyclophosphamide, doxorubicin or vincristine. The signatures were validated in two publicly available clinical cohorts. Global gene expression data combined with dose response experiments for prediction of chemoresistance

ORGANISM(S): Homo sapiens

SUBMITTER: Steffen Larsen 

PROVIDER: E-GEOD-53798 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

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

Falgreen Steffen S   Dybkær Karen K   Young Ken H KH   Xu-Monette Zijun Y ZY   El-Galaly Tarec C TC   Laursen Maria Bach MB   Bødker Julie S JS   Kjeldsen Malene K MK   Schmitz Alexander A   Nyegaard Mette M   Johnsen Hans Erik HE   Bøgsted Martin M  

BMC cancer 20150408


<h4>Background</h4>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  ...[more]

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