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Developmental subtypes assessed by DNA methylation-iPLEX forecast the natural history of chronic lymphocytic leukemia.
Giacopelli, Brian; Zhao, Qiuhong; Ruppert, Amy S; Agyeman, Akwasi; Weigel, Christoph; Wu, Yue-Zhong; Gerber, Madelyn M; Rabe, Kari G; Larson, Melissa C; Lu, Junyan; Blachly, James S; Rogers, Kerry A; Wierda, William G; Brown, Jennifer R; Rai, Kanti R; Keating, Michael; Rassenti, Laura Z; Kipps, Thomas J; Zenz, Thorsten; Shanafelt, Tait D; Kay, Neil E; Abruzzo, Lynne V; Coombes, Kevin R; Woyach, Jennifer A; Byrd, John C; Oakes, Christopher C.
Afiliação
  • Giacopelli B; Division of Hematology, Department of Internal Medicine, and.
  • Zhao Q; Division of Hematology, Department of Internal Medicine, and.
  • Ruppert AS; Division of Hematology, Department of Internal Medicine, and.
  • Agyeman A; Division of Hematology, Department of Internal Medicine, and.
  • Weigel C; Division of Hematology, Department of Internal Medicine, and.
  • Wu YZ; Division of Hematology, Department of Internal Medicine, and.
  • Gerber MM; Department of Pathology, The Ohio State University, Columbus, OH.
  • Rabe KG; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
  • Larson MC; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
  • Lu J; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Blachly JS; Division of Hematology, Department of Internal Medicine, and.
  • Rogers KA; Division of Hematology, Department of Internal Medicine, and.
  • Wierda WG; Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Brown JR; Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, MA.
  • Rai KR; Division of Hematology-Oncology, North Shore-Long Island Jewish Medical System, New Hyde Park, NY.
  • Keating M; Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Rassenti LZ; Department of Medicine, University of California San Diego, La Jolla, CA.
  • Kipps TJ; Department of Medicine, University of California San Diego, La Jolla, CA.
  • Zenz T; Department of Medical Oncology and Hematology, University Hospital and University of Zürich, Zürich, Switzerland.
  • Shanafelt TD; Department of Medicine-Hematology, Stanford School of Medicine, Stanford, CA.
  • Kay NE; Division of Hematology, Mayo Clinic, Rochester, MN; and.
  • Abruzzo LV; Department of Pathology, The Ohio State University, Columbus, OH.
  • Coombes KR; Department of Biomedical Informatics and.
  • Woyach JA; Division of Hematology, Department of Internal Medicine, and.
  • Byrd JC; Division of Hematology, Department of Internal Medicine, and.
  • Oakes CC; Division of Pharmaceutics, College of Pharmacy, The Ohio State University, Columbus, OH.
Blood ; 134(8): 688-698, 2019 08 22.
Article em En | MEDLINE | ID: mdl-31292113
ABSTRACT
Alterations in global DNA methylation patterns are a major hallmark of cancer and represent attractive biomarkers for personalized risk stratification. Chronic lymphocytic leukemia (CLL) risk stratification studies typically focus on time to first treatment (TTFT), time to progression (TTP) after treatment, and overall survival (OS). Whereas TTFT risk stratification remains similar over time, TTP and OS have changed dramatically with the introduction of targeted therapies, such as the Bruton tyrosine kinase inhibitor ibrutinib. We have shown that genome-wide DNA methylation patterns in CLL are strongly associated with phenotypic differentiation and patient outcomes. Here, we developed a novel assay, termed methylation-iPLEX (Me-iPLEX), for high-throughput quantification of targeted panels of single cytosine guanine dinucleotides from multiple independent loci. Me-iPLEX was used to classify CLL samples into 1 of 3 known epigenetic subtypes (epitypes). We examined the impact of epitype in 1286 CLL patients from 4 independent cohorts representing a comprehensive view of CLL disease course and therapies. We found that epitype significantly predicted TTFT and OS among newly diagnosed CLL patients. Additionally, epitype predicted TTP and OS with 2 common CLL therapies chemoimmunotherapy and ibrutinib. Epitype retained significance after stratifying by biologically related biomarkers, immunoglobulin heavy chain mutational status, and ZAP70 expression, as well as other common prognostic markers. Furthermore, among several biological traits enriched between epitypes, we found highly biased immunogenetic features, including IGLV3-21 usage in the poorly characterized intermediate-programmed CLL epitype. In summary, Me-iPLEX is an elegant method to assess epigenetic signatures, including robust classification of CLL epitypes that independently stratify patient risk at diagnosis and time of treatment.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Linfocítica Crônica de Células B / Metilação de DNA Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Blood Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Linfocítica Crônica de Células B / Metilação de DNA Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Blood Ano de publicação: 2019 Tipo de documento: Article