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Roles of Iron in Chemoresistance of Multiple Myeloma Depends on the Interaction with Bone Marrow Stromal Cells [coculture]

ABSTRACT: To investigate the role of coculture treatment of multiple myeloma cells to bortezomib drug resistance, multiple myeloma cells were cocultured with bone marrow mesechymal stem cells

ORGANISM(S): Homo sapiens

PROVIDER: GSE214767 | GEO | 2022/10/07

REPOSITORIES: GEO

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Roles of Iron in Chemoresistance of Multiple Myeloma Depends on the Interaction with Bone Marrow Stromal Cells [treatment]

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Roles of Iron in Chemoresistance of Multiple Myeloma Depends on the Interaction with Bone Marrow Stromal Cells [coculture]

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Down-regulation of CD9 by methylation decreased bortezomib sensitivity in multiple myeloma

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Project description:Bortezomib therapy has been proven successful for the treatment of relapsed and/or refractory multiple myeloma (MM). However, both intrinsic and acquired resistance has already been observed. In this study, we explored the relationship between CD9 expression and bortezomib sensitivity in MM Both intrinsic and acquired resistance has already been observed. In this study, we explored the relationship between CD9 expression and bortezomib sensitivity in MM. We found that down-regulation of CD9 by methylation decreased bortezomib sensitivity in multiple myeloma. A six chip study using total RNA recovered from three separate wild-type cultures of U266 cells and three separate cultures of U266 with CD9 overexpression. Each chip measures the expression level of 45,033 genes from Homo sapiens with fourteen 60-mer probe pairs (PM/MM) per gene, with three-fold technical redundancy.

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Transcription profiling of human samples from multiple myeloma patients treated with bortezomib or dexamethasone

Project description:The aims of this study were to assess the feasibility of prospective pharmacogenomics research in multicenter international clinical trials of bortezomib in multiple myeloma and to develop predictive classifiers of response and survival with bortezomib. Patients with relapsed myeloma enrolled in phase 2 and phase 3 clinical trials of bortezomib and consented to genomic analyses of pretreatment tumor samples. Bone marrow aspirates were subject to a negative-selection procedure to enrich for tumor cells, and these samples were used for gene expression profiling using DNA microarrays. Data quality and correlations with trial outcomes were assessed by multiple groups. Gene expression in this dataset was consistent with data published from a single-center study of newly diagnosed multiple myeloma. Response and survival classifiers were developed and shown to be significantly associated with outcome via testing on independent data. The survival classifier improved on the risk stratification provided by the International Staging System. Predictive models and biologic correlates of response show some specificity for bortezomib rather than dexamethasone. Informative gene expression data and genomic classifiers that predict clinical outcome can be derived from prospective clinical trials of new anticancer agents. Experiment Overall Design: Purified myeloma samples were collected prior to enrolment in clinical trials of bortezomib (PS-341). Samples were subject to replicate gene expression profiling using the Affymetrix 133A/B microarray. Data was normalized in MAS5.0 and the median of replicates is reported. Data was normalized to a Ttimmed mean of 15o and is NOT log transformed. Various patient parameters are reported as well as response, TTP and survival upon treatment with bortezomib or dexamethasone.

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