Project description:Proteasome inhibitors are important chemotherapeutics in the treatment of multiple myeloma, but they are currently used empirically as no markers of sensitivity have been validated. We have identified expression of tight junction protein (TJP) 1 as being associated with sensitivity of plasma cells in vitro and in vivo to proteasome inhibitors. TJP1 suppressed expression of genes in the major histocompatibility class II region, including two catalytically active immunoproteasome subunits, thereby decreasing proteasome activity, a critical determinant of proteasome inhibitor sensitivity. This occurred through suppression by TJP1 of signaling through the epidermal growth factor receptor/Janus kinase 1/signal transducer and activator of transcription 3 pathway. In the clinic, high TJP1 expression in myeloma patients was associated with a significantly higher likelihood of responding to bortezomib, and with a longer time-to-progression after treatment. Taken together, these data support the use of TJP1 as a biomarker of sensitivity and resistance to proteasome inhibitors. To further elucidate mechanisms of bortezomib resistance, we developed human-derived multiple myeloma cell lines with a 4-fold or greater resistance to bortezomib. Then total RNA for bortezomib resistant (BR) and wild type (WT) was extracted and used for comparison by gene expression profiling.
Project description:Purpose: We report the NGS-derived transcriptome profiling (paired-end RNA-seq) following proteasome inhibition in the multiple myeloma cell line MM.1S. Methods: MM.1S cells were treated for six hours with the synthetic proteasome inhibitor lactacystin or clinically-approved proteasome inhibitor bortezomib and RNA expression changes were quantified and compared to DMSO control-treated cells by RNA-sequencing.
Project description:The ubiquitin-proteasome system (UPS) has recently emerged as a major target for drug development in cancer therapy. The proteasome inhibitor bortezomib has clinical activity in multiple myeloma and mantle cell lymphoma. Here we report that Eeyarestatin I (EerI), a chemical inhibitor that blocks ER-associated protein degradation (ERAD), has anti-tumor and biologic activities similar to bortezomib, and can synergize with bortezomib. Like bortezomib, EerI-induced cytotoxicity requires the upregulation of the BH3 only pro-apoptotic protein NOXA. We further demonstrate that both EerI and bortezomib activate NOXA via an unanticipated mechanism that requires cooperation between two processes: First, these agents elicit an integrated stress response program at the ER to activate the CREB/ATF transcription factors ATF3 and ATF4. We show that ATF3 and ATF4 form a complex capable of binding to the NOXA promoter, which is required for NOXA activation. Second, EerI and bortezomib also block ubiquitination of histone H2A to relieve its inhibition on NOXA transcription. Our results identify a class of anti-cancer agents that integrate ER stress response with an epigenetic mechanism to induce cell death. Experiment Overall Design: 1. EerI 10 vs 0 Experiment Overall Design: 2. EerI 10 vs 0 Experiment Overall Design: 3. Bzm 10 vs 0 Experiment Overall Design: 4. Bzm 10 vs 0
Project description:Multiple Myeloma (MM) is cancer in the antibody-producing plasma cells. It comprises 1 percent of all hematological malignancies. MM is incurable and fatal. The proteasome inhibitor bortezomib has improved treatment significantly, but inherent and acquired resistance remains a problem. Glutathione (GSH) is an important red-ox buffer in eukaryotic cells. In this experiment we investigate how GSH affects bortezomib-induced gene expression changes
Project description:The ubiquitin-proteasome system (UPS) has recently emerged as a major target for drug development in cancer therapy. The proteasome inhibitor bortezomib has clinical activity in multiple myeloma and mantle cell lymphoma. Here we report that Eeyarestatin I (EerI), a chemical inhibitor that blocks ER-associated protein degradation (ERAD), has anti-tumor and biologic activities similar to bortezomib, and can synergize with bortezomib. Like bortezomib, EerI-induced cytotoxicity requires the upregulation of the BH3 only pro-apoptotic protein NOXA. We further demonstrate that both EerI and bortezomib activate NOXA via an unanticipated mechanism that requires cooperation between two processes: First, these agents elicit an integrated stress response program at the ER to activate the CREB/ATF transcription factors ATF3 and ATF4. We show that ATF3 and ATF4 form a complex capable of binding to the NOXA promoter, which is required for NOXA activation. Second, EerI and bortezomib also block ubiquitination of histone H2A to relieve its inhibition on NOXA transcription. Our results identify a class of anti-cancer agents that integrate ER stress response with an epigenetic mechanism to induce cell death.
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment (33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this part of the study, we identify signatures of bortezomib sensitivity by gene expression profiling (GEP) using The human myeloma cell lines MM1.S and U266 (obtained from ATCC). Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients. Transcript profiling timecourses after treatment with Bortezomib treatment (33nm) in two myeloma cell lines.
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment(33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this study, we identify signatures of bortezomib sensitivity and resistance by gene expression profiling (GEP) using pairs of bortezomib-sensitive and -resistant cell lines created from the Bcl-XL/Myc double transgenic mouse model of MM. Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients. Transcript profiling timecourses after treatment with Bortezomib treatment (33nm) in Multiple Myeloma derived cell lines.
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment (33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this study, we identify signatures of bortezomib sensitivity and resistance by gene expression profiling (GEP) using pairs of bortezomib-sensitive and -resistant cell lines created from the Bcl-XL/Myc double transgenic mouse model of MM. Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients. Transcript profiling timecourses after treatment with Bortezomib treatment (33nm) in Multiple Myeloma derived cell lines.
Project description:Proteasome inhibitors are important chemotherapeutics in the treatment of multiple myeloma, but they are currently used empirically as no markers of sensitivity have been validated. We have identified expression of tight junction protein (TJP) 1 as being associated with sensitivity of plasma cells in vitro and in vivo to proteasome inhibitors. TJP1 suppressed expression of genes in the major histocompatibility class II region, including two catalytically active immunoproteasome subunits, thereby decreasing proteasome activity, a critical determinant of proteasome inhibitor sensitivity. This occurred through suppression by TJP1 of signaling through the epidermal growth factor receptor/Janus kinase 1/signal transducer and activator of transcription 3 pathway. In the clinic, high TJP1 expression in myeloma patients was associated with a significantly higher likelihood of responding to bortezomib, and with a longer time-to-progression after treatment. Taken together, these data support the use of TJP1 as a biomarker of sensitivity and resistance to proteasome inhibitors.
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment (33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this part of the study, we identify signatures of bortezomib sensitivity by gene expression profiling (GEP) using The human myeloma cell lines MM1.S and U266 (obtained from ATCC). Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients.