Sheri Skerget, Daniel Penaherrera, Ajai Chari, Sundar Jagannath, David S. Siegel, Ravi Vij, Gregory Orloff, Andrzej Jakubowiak, Ruben Niesvizky, Darla Liles, Jesus Berdeja, Moshe Levy, Jeffrey Wolf, Saad Z. Usmani, The MMRF CoMMpass Network, Austin W. Christofferson, Sara Nasser, Jessica L. Aldrich, Christophe Legendre, Brooks Benard, Chase Miller, Bryce Turner, Ahmet Kurdoglu, Megan Washington, Venkata Yellapantula, Jonathan R. Adkins, Lori Cuyugan, Martin Boateng, Adrienne Helland, Shari Kyman, Jackie McDonald, Rebecca Reiman, Kristi Stephenson, Erica Tassone, Alex Blanski, Brianne Livermore, Meghan Kirchhoff, Daniel C. Rohrer, Mattia D’Agostino, Manuela Gamella, Kimberly Collison, Jennifer Stumph, Pam Kidd, Andrea Donnelly, Barbara Zaugg, Maureen Toone, Kyle McBride, Mary DeRome, Jennifer Rogers, David Craig, Winnie S. Liang, Norma C. Gutierrez, Scott D. Jewell, John Carpten, Kenneth C. Anderson, Hearn Jay Cho, Daniel Auclair, Sagar Lonial, Jonathan J. Keats
{"title":"Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes","authors":"Sheri Skerget, Daniel Penaherrera, Ajai Chari, Sundar Jagannath, David S. Siegel, Ravi Vij, Gregory Orloff, Andrzej Jakubowiak, Ruben Niesvizky, Darla Liles, Jesus Berdeja, Moshe Levy, Jeffrey Wolf, Saad Z. Usmani, The MMRF CoMMpass Network, Austin W. Christofferson, Sara Nasser, Jessica L. Aldrich, Christophe Legendre, Brooks Benard, Chase Miller, Bryce Turner, Ahmet Kurdoglu, Megan Washington, Venkata Yellapantula, Jonathan R. Adkins, Lori Cuyugan, Martin Boateng, Adrienne Helland, Shari Kyman, Jackie McDonald, Rebecca Reiman, Kristi Stephenson, Erica Tassone, Alex Blanski, Brianne Livermore, Meghan Kirchhoff, Daniel C. Rohrer, Mattia D’Agostino, Manuela Gamella, Kimberly Collison, Jennifer Stumph, Pam Kidd, Andrea Donnelly, Barbara Zaugg, Maureen Toone, Kyle McBride, Mary DeRome, Jennifer Rogers, David Craig, Winnie S. Liang, Norma C. Gutierrez, Scott D. Jewell, John Carpten, Kenneth C. Anderson, Hearn Jay Cho, Daniel Auclair, Sagar Lonial, Jonathan J. Keats","doi":"10.1038/s41588-024-01853-0","DOIUrl":null,"url":null,"abstract":"Multiple myeloma is a treatable, but currently incurable, hematological malignancy of plasma cells characterized by diverse and complex tumor genetics for which precision medicine approaches to treatment are lacking. The Multiple Myeloma Research Foundation’s Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study ( NCT01454297 ) is a longitudinal, observational clinical study of newly diagnosed patients with multiple myeloma (n = 1,143) where tumor samples are characterized using whole-genome sequencing, whole-exome sequencing and RNA sequencing at diagnosis and progression, and clinical data are collected every 3 months. Analyses of the baseline cohort identified genes that are the target of recurrent gain-of-function and loss-of-function events. Consensus clustering identified 8 and 12 unique copy number and expression subtypes of myeloma, respectively, identifying high-risk genetic subtypes and elucidating many of the molecular underpinnings of these unique biological groups. Analysis of serial samples showed that 25.5% of patients transition to a high-risk expression subtype at progression. We observed robust expression of immunotherapy targets in this subtype, suggesting a potential therapeutic option. Longitudinal genomic and transcriptomic profiling of 1,143 patients with multiple myeloma by the Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study yields an improved copy number and gene expression subtype scheme, most notably a high-risk proliferative subtype associated with complete loss of RB1 or MAX.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41588-024-01853-0.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-024-01853-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Multiple myeloma is a treatable, but currently incurable, hematological malignancy of plasma cells characterized by diverse and complex tumor genetics for which precision medicine approaches to treatment are lacking. The Multiple Myeloma Research Foundation’s Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study ( NCT01454297 ) is a longitudinal, observational clinical study of newly diagnosed patients with multiple myeloma (n = 1,143) where tumor samples are characterized using whole-genome sequencing, whole-exome sequencing and RNA sequencing at diagnosis and progression, and clinical data are collected every 3 months. Analyses of the baseline cohort identified genes that are the target of recurrent gain-of-function and loss-of-function events. Consensus clustering identified 8 and 12 unique copy number and expression subtypes of myeloma, respectively, identifying high-risk genetic subtypes and elucidating many of the molecular underpinnings of these unique biological groups. Analysis of serial samples showed that 25.5% of patients transition to a high-risk expression subtype at progression. We observed robust expression of immunotherapy targets in this subtype, suggesting a potential therapeutic option. Longitudinal genomic and transcriptomic profiling of 1,143 patients with multiple myeloma by the Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study yields an improved copy number and gene expression subtype scheme, most notably a high-risk proliferative subtype associated with complete loss of RB1 or MAX.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
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-Molecular analysis of simple and complex genetic traits
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