Classification of acute myeloid leukemia

Sang Mee Hwang1

  • 1Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Blood Research
|July 29, 2020
PubMed

Insights

The 2017 World Health Organization classification for acute myeloid leukemia (AML) incorporates new genetic data. This review details these updates and their impact on diagnosing AML and related precursor neoplasms.

Area of Science:

  • Hematology
  • Oncology
  • Molecular Diagnostics

Background:

  • The World Health Organization (WHO) classification of tumors is crucial for standardizing hematologic malignancy diagnoses.
  • Recent advancements in high-throughput sequencing and gene expression profiling have significantly impacted the understanding of hematologic malignancies.

Purpose of the Study:

  • To review the current WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues, focusing on the 2017 revision.
  • To highlight key changes in the classification of acute myeloid leukemia (AML) and related precursor neoplasms.
  • To emphasize the diagnostic implications of the updated WHO classification for AML.

Main Methods:

  • Literature review of the 2017 WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues.
  • Analysis of high-throughput sequencing and gene expression data relevant to hematologic malignancies.
  • Synthesis of information regarding diagnostic criteria for AML and precursor neoplasms.

Main Results:

  • The 2017 WHO classification integrates novel molecular and genetic findings into the diagnosis of hematologic neoplasms.
  • Specific changes in the classification of acute myeloid leukemia (AML) and related precursor neoplasms are identified.
  • The revised criteria provide a more refined approach to AML diagnosis.

Conclusions:

  • The 2017 WHO classification represents a significant update based on molecular data, improving diagnostic accuracy for AML.
  • Understanding these revisions is essential for clinicians and researchers involved in hematologic oncology.
  • The classification facilitates consistent diagnosis and communication in the field of hematologic malignancies.

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