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Toward individualized therapy in acute myeloid leukemia a contemporary review

  • Tapan M. Kadia(corresponding author)
    ,
  • Farhad Ravandi
    ,
  • ,
  • Hagop Kantarjian
*Corresponding author for this work
  • University of Texas MD Anderson Cancer Center
Scholary Output:
Contribution to journal
Review article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Acute myeloid leukemia (AML) is a heterogeneous disease in its clinical presentation, response to therapy, and overall prognosis. For decades, pretreatment karyotype evaluation has served to identify subgroups for risk-adapted postremission therapy, but the initial treatment approach has been largely unchanged. With continued advances in the genetic and epigenetic characterization of AML, we have discovered even more diversity and are starting to understand the biological underpinnings of these multiple disease entities. Newer therapies are being developed to address the pathophysiology within these individual AML subsets. This review categorizes AML into biologically defined groups based on currently available data and describes the evolving treatment approaches within these groups. Identifying the genetic abnormalities and biological drivers prior to AML treatment will be important as we work to individualize therapy and improve outcomes.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 820-828 (9 pages)

Journal (Volume, Issue Number)

JAMA Oncology (Volume 1, Issue 6)

Publication milestones

  • Published - 09/2015

Publication status

Published - 09/2015

ISSN

2374-2437

Publication IDs

  • Scopus: 85010219668
  • PubMed: 26181162

Publication metrics

Metrics

SciVal
citations
32
SciVal
FWCI
0.92
SciVal
Author count
4
SciVal
Paper percentile
90
SciVal
Top percentile
10
Scopus
citations
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1

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Citation count
57
Social media
1
Mentions
1
Captures
84

Funding Details

Funding/Support: This work was supported in part by the National Institutes of Health (NIH) through MD Anderson Cancer Center Support Grant CA016672.