4.2 Article

Sex differences in the incidence of chronic myeloid leukemia

Journal

RADIATION AND ENVIRONMENTAL BIOPHYSICS
Volume 53, Issue 1, Pages 55-63

Publisher

SPRINGER
DOI: 10.1007/s00411-013-0507-4

Keywords

Chronic myeloid leukemia (CML); Age or radiation-driven carcinogenesis; Target cells for leukemia initiation; Cancer latency; Life span study (LSS)

Funding

  1. NCI ICBP [U54CA149233]
  2. DOE [DE-SC0001434, DE-HS0000031]
  3. Office of Science (BER) US Department of Energy
  4. NIHR Biomedical Research Centre funding scheme
  5. Ministry of Science and Education, Republic of Serbia [41004]
  6. Scott Hamilton CARES grant
  7. Cleveland Clinic Seed Support
  8. an ACS pilot grant
  9. Japanese Ministry of Health, Labour and Welfare MHLW
  10. US Department of Energy (DOE)
  11. [RO1CA138858]

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The incidence of chronic myeloid leukemia (CML), which is caused by BCR/ABL chimeric oncogene formation in a pluripotent hematopoietic stem cell (HSC), increases with age and exposure to ionizing radiation. CML is a comparatively well-characterized neoplasm, important for its own sake and useful for insights into other neoplasms. Here, Surveillance, Epidemiology and End Results (SEER) CML data are analyzed after considering possible misclassification of chronic myelo-monocytic leukemia as CML. For people older than 25 years, plots of male and female CML log incidences versus age at diagnosis are approximately parallel straight lines with males either above or to the left of females. This is consistent with males having a higher risk of developing CML or a shorter latency from initiation to diagnosis of CML. These distinct mechanisms cannot be distinguished using SEER data alone. Therefore, CML risks among male and female Japanese A-bomb survivors are also analyzed. The present analyses suggest that sex differences in CML incidence more likely result from differences in risk than in latency. The simplest but not the sole interpretation of this is that males have more target cells at risk to develop CML. Comprehensive mathematical models of CML could lead to a better understanding of the role of HSCs in CML and other preleukemias that can progress to acute leukemia.

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