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6 results on '"Readhead, Ben"'

1. Network Modeling Reveals CDC42BPA and CLEC11A As Novel Driver Genes of t(4; 14) Multiple Myeloma

Author

Perumal, Deepak, primary, Lagana', Alessandro, additional, Melnekoff, David, additional, Readhead, Ben, additional, Kidd, Brian, additional, Leshchenko, Violetta V, additional, Kuo, Pei-Yu, additional, Yesil, Jennifer, additional, Derome, Mary, additional, Auclair, Daniel, additional, Madduri, Deepu, additional, Chari, Ajai, additional, Cho, Hearn Jay, additional, Barlogie, Bart, additional, Jagannath, Sundar, additional, Dudley, Joel, additional, and Parekh, Samir, additional

Published
2016
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2. Integrative Network Analysis of Newly Diagnosed Multiple Myeloma Identifies a Novel RNA-Seq Based High Riskgene Signature

Author

Lagana, Alessandro, primary, Perumal, Deepak, additional, Melnekoff, David, additional, Readhead, Ben, additional, Kidd, Brian, additional, Leshchenko, Violetta V, additional, Kuo, Pei-Yu, additional, Keats, Jonathan J, additional, Derome, Mary, additional, Yesil, Jennifer, additional, Auclair, Daniel, additional, Madduri, Deepu, additional, Chari, Ajai, additional, Cho, Hearn Jay, additional, Barlogie, Bart, additional, Jagannath, Sundar, additional, Dudley, Joel, additional, and Parekh, Samir, additional

Published
2016
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4. Weighted Gene Co-Expression Network Analysis (WGCNA) Identifies Highly Proliferative Myeloma Subgroup Responsive to CDK4/ARK5 Inhibition

Author

Perumal, Deepak, primary, Leshchenko, Violetta V., additional, Kuo, Pei-Yu, additional, Jiang, Zewei, additional, Readhead, Ben, additional, Eden, Caroline, additional, Athaluri Divakar, Sai Krishna, additional, Zhang, Weijia, additional, Cho, Hearn Jay, additional, Chari, Ajai, additional, Reddy, M.V.Ramana, additional, Reddy, E. Premkumar, additional, Dudley, Joel, additional, Jagannath, Sundar, additional, and Parekh, Samir, additional

Published
2014
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6. Network Modeling Reveals CDC42BPAand CLEC11AAs Novel Driver Genes of t(4; 14) Multiple Myeloma

Author

Perumal, Deepak, Lagana', Alessandro, Melnekoff, David, Readhead, Ben, Kidd, Brian, Leshchenko, Violetta V, Kuo, Pei-Yu, Yesil, Jennifer, Derome, Mary, Auclair, Daniel, Madduri, Deepu, Chari, Ajai, Cho, Hearn Jay, Barlogie, Bart, Jagannath, Sundar, Dudley, Joel, and Parekh, Samir

Abstract

Multiple Myeloma (MM) is a genetically complex malignancy arising from bone marrow plasma cells with 30,000 new cases reported every year in the US. It is characterized by heterogeneity in clinical presentation and response to treatment. Next generation sequencing (NGS) technologies have enabled a deeper insight into cancer genomes and transcriptomes at an unprecedented level of detail. MMRF CoMMpass is a longitudinal, prospective observational study that aims to collect and analyze sequencing and clinical data from >1,000 MM patients at initial diagnosis and at relapse. Such effort providesa unique opportunity to improve our knowledge of MM pathogenesis and identify novel mechanisms that drive disease progression as well as genomic aberrations that underlie them.

Published
2016
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