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Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia

Open access
Mullighan, Charles G., Phillips, Letha A., Su, Xiaoping, Ma, Jing, Miller, Christopher B., Shurtleff, Sheila A., Downing, James R.·2008·Science

Abstract

Most children with acute lymphoblastic leukemia (ALL) can be cured, but the prognosis is dismal for the minority of patients who relapse after treatment. To explore the genetic basis of relapse, we performed genome-wide DNA copy number analyses on matched diagnosis and relapse samples from 61 pediatric patients with ALL. The diagnosis and relapse samples typically showed different patterns of genomic copy number abnormalities (CNAs), with the CNAs acquired at relapse preferentially affecting genes implicated in cell cycle regulation and B cell development. Most relapse samples lacked some of the CNAs present at diagnosis, which suggests that the cells responsible for relapse are ancestral to the primary leukemia cells. Backtracking studies revealed that cells corresponding to the relapse clone were often present as minor subpopulations at diagnosis. These data suggest that genomic abnormalities contributing to ALL relapse are selected for during treatment, and they point to new targets for therapeutic intervention.

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Metadata

Authors
Mullighan, C. G., Phillips, L. A., Su, X., Ma, J., Miller, C. B., Shurtleff, S. A., & Downing, J. R.
Venue
Science
Published
2008-11-28
Volume
322
Issue
5906
Pages
1377-1380
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2060383229
Cited by
806
References
0
FWCI
47.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia. https://app.cochat.ai/papers/10.1126/science.1164266
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Mullighan, C. G., Phillips, L. A., Su, X., Ma, J., Miller, C. B., Shurtleff, S. A., & Downing, J. R. (2008). Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia. Science. https://doi.org/10.1126/science.1164266

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.