Laura C Gelston

University of California, San Francisco

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Mignon L. Loh

Seattle Children's Hospital

Elliot Stieglitz

University of California, San Francisco

Robert B. Gerbing

Children's Oncology Group

Todd A. Alonzo

University of Southern California

Peter D. Emanuel

Winthrop Rockefeller Foundation

Amaro Taylor‐Weiner

PathAI (United States)

Adam B. Olshen

University of California, San Francisco

Kyle Beckman

UCSF Benioff Children's Hospital

Benjamin S. Braun

UCSF Benioff Children's Hospital

Yong‐Dong Wang

St. Jude Children's Research Hospital

Cooperative Institutions

University of California, San Francisco

UCSF Benioff Children's Hospital

UCSF Helen Diller Family Comprehensive Cancer Center

Dana-Farber Cancer Institute

St. Jude Children's Research Hospital

Broad Institute

Harvard University

Massachusetts Institute of Technology

Eli and Edythe Broad Foundation

University of Washington

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The genomic landscape of juvenile myelomonocytic leukemia

Nature Genetics (2015)

Elliot Stieglitz Amaro Taylor‐Weiner Tiffany Chang Laura C Gelston Yong‐Dong Wang

Juvenile myelomonocytic leukemia

Chronic myelomonocytic leukemia

10.1038/ng.3400

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Citations (258)

Correction: Corrigendum: The genomic landscape of juvenile myelomonocytic leukemia

Nature Genetics (2015)

Elliot Stieglitz Amaro Taylor‐Weiner Tiffany Chang Laura C Gelston Yong‐Dong Wang

Juvenile myelomonocytic leukemia

Noonan Syndrome

Nat

10.1038/ng0116-101a

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Citations (4)

Subclonal Mutations in SETBP1 Predict Relapse in Juvenile Myelomonocytic Leukemia

Blood (2014)

Elliot Stieglitz Camille Troup Laura C Gelston Eric D. Chow Kristie B. Yu

Juvenile myelomonocytic leukemia

PTPN11

10.1182/blood.v124.21.410.410

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Citations (1)

Subclonal mutations in SETBP1 confer a poor prognosis in juvenile myelomonocytic leukemia

Blood (2014)

Elliot Stieglitz Camille Troup Laura C Gelston John Haliburton Eric D. Chow

Juvenile myelomonocytic leukemia

10.1182/blood-2014-09-601690

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Citations (71)

Genome-wide DNA methylation is predictive of outcome in juvenile myelomonocytic leukemia

Nature Communications (2017)

Elliot Stieglitz Tali Mazor Adam B. Olshen Huimin Geng Laura C Gelston

Juvenile myelomonocytic leukemia (JMML) is a myeloproliferative disorder of childhood caused by mutations in the Ras pathway. Outcomes in JMML vary markedly from spontaneous resolution to rapid relapse after hematopoietic stem cell transplantation. Here, we hypothesized that DNA methylation patterns would help predict disease outcome and therefore performed genome-wide DNA methylation profiling in a cohort of 39 patients. Unsupervised hierarchical clustering identifies three clusters of patients. Importantly, these clusters differ significantly in terms of 4-year event-free survival, with the lowest methylation cluster having the highest rates of survival. These findings were validated in an independent cohort of 40 patients. Notably, all but one of 14 patients experiencing spontaneous resolution cluster together and closer to 22 healthy controls than to other JMML cases. Thus, we show that DNA methylation patterns in JMML are predictive of outcome and can identify the patients most likely to experience spontaneous resolution.

Juvenile myelomonocytic leukemia

10.1038/s41467-017-02178-9

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Citations (85)