Robert L. Bowman, Andrew J. Dunbar, Tanmay Mishra, Wenbin Xiao, Michael R. Waarts, Inés Fernández Maestre, Shira E. Eisman, Louise Cai, Shoron Mowla, Nisargbhai Shah, Angela Youn, Laura Bennett, Suean Fontenard, Shreeya Gounder, Anushka Gandhi, Michael Bowman, Kavi O’Connor, Zachary Zaroogian, Pablo Sánchez-Vela, Anthony R. Martinez Benitez, Ross L. Levine
{"title":"In vivo models of subclonal oncogenesis and dependency in hematopoietic malignancy","authors":"Robert L. Bowman, Andrew J. Dunbar, Tanmay Mishra, Wenbin Xiao, Michael R. Waarts, Inés Fernández Maestre, Shira E. Eisman, Louise Cai, Shoron Mowla, Nisargbhai Shah, Angela Youn, Laura Bennett, Suean Fontenard, Shreeya Gounder, Anushka Gandhi, Michael Bowman, Kavi O’Connor, Zachary Zaroogian, Pablo Sánchez-Vela, Anthony R. Martinez Benitez, Ross L. Levine","doi":"10.1016/j.ccell.2024.10.009","DOIUrl":null,"url":null,"abstract":"Cancer evolution is a multifaceted process leading to dysregulation of cellular expansion and differentiation through somatic mutations and epigenetic dysfunction. Clonal expansion and evolution is driven by cell-intrinsic and -extrinsic selective pressures, which can be captured with increasing resolution by single-cell and bulk DNA sequencing. Despite the extensive genomic alterations revealed in profiling studies, there remain limited experimental systems to model and perturb evolutionary processes. Here, we integrate multi-recombinase tools for reversible, sequential mutagenesis from premalignancy to leukemia. We demonstrate that inducible <em>Flt3</em> mutations differentially cooperate with <em>Dnmt3a</em>, <em>Idh2</em>, and <em>Npm1</em> mutant alleles, and that changing the order of mutations influences cellular and transcriptional landscapes. We next use a generalizable, reversible approach to demonstrate that mutation reversion results in rapid leukemic regression with distinct differentiation patterns depending upon co-occurring mutations. These studies provide a path to experimentally model sequential mutagenesis, investigate mechanisms of transformation and probe oncogenic dependency in disease evolution.","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"41 1","pages":""},"PeriodicalIF":48.8000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Cell","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ccell.2024.10.009","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer evolution is a multifaceted process leading to dysregulation of cellular expansion and differentiation through somatic mutations and epigenetic dysfunction. Clonal expansion and evolution is driven by cell-intrinsic and -extrinsic selective pressures, which can be captured with increasing resolution by single-cell and bulk DNA sequencing. Despite the extensive genomic alterations revealed in profiling studies, there remain limited experimental systems to model and perturb evolutionary processes. Here, we integrate multi-recombinase tools for reversible, sequential mutagenesis from premalignancy to leukemia. We demonstrate that inducible Flt3 mutations differentially cooperate with Dnmt3a, Idh2, and Npm1 mutant alleles, and that changing the order of mutations influences cellular and transcriptional landscapes. We next use a generalizable, reversible approach to demonstrate that mutation reversion results in rapid leukemic regression with distinct differentiation patterns depending upon co-occurring mutations. These studies provide a path to experimentally model sequential mutagenesis, investigate mechanisms of transformation and probe oncogenic dependency in disease evolution.
期刊介绍:
Cancer Cell is a journal that focuses on promoting major advances in cancer research and oncology. The primary criteria for considering manuscripts are as follows:
Major advances: Manuscripts should provide significant advancements in answering important questions related to naturally occurring cancers.
Translational research: The journal welcomes translational research, which involves the application of basic scientific findings to human health and clinical practice.
Clinical investigations: Cancer Cell is interested in publishing clinical investigations that contribute to establishing new paradigms in the treatment, diagnosis, or prevention of cancers.
Insights into cancer biology: The journal values clinical investigations that provide important insights into cancer biology beyond what has been revealed by preclinical studies.
Mechanism-based proof-of-principle studies: Cancer Cell encourages the publication of mechanism-based proof-of-principle clinical studies, which demonstrate the feasibility of a specific therapeutic approach or diagnostic test.