Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from cell lines originating from patients with multiple myeloma, plasmacytoma and diffuse large B-cell lymphoma


ABSTRACT: A predictive gene list for response to high dose melphalan therapy in patients diagnosed with multiple myeloma is generated by combining results from dose response experiments and microarray data using a B-cell line panel and the introduction of multivariate regression techniques. 18 malignant B-cell lines were analyzed by gene expression microarrays and screened for melphalan median dose dependent growth inhibition. Results are used to build a predictive gene list for response to high dose melphalan therapy in multiple myeloma.

ORGANISM(S): Homo sapiens

SUBMITTER: Martin Boegsted 

PROVIDER: E-GEOD-22759 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.

Boegsted Martin M   Holst Johanne M JM   Fogd Kirsten K   Falgreen Steffen S   Sørensen Suzette S   Schmitz Alexander A   Bukh Anne A   Johnsen Hans E HE   Nyegaard Mette M   Dybkaer Karen K  

PloS one 20110429 4


<h4>Background</h4>Recent reports indicate that in vitro drug screens combined with gene expression profiles (GEP) of cancer cell lines may generate informative signatures predicting the clinical outcome of chemotherapy. In multiple myeloma (MM) a range of new drugs have been introduced and now challenge conventional therapy including high dose melphalan. Consequently, the generation of predictive signatures for response to melphalan may have a clinical impact. The hypothesis is that melphalan s  ...[more]

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