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Paediatric acute myeloid leukaemia with the t(7;12)(q36;p13) rearrangement: a review of the biological and clinical management aspects

Overview of attention for article published in Biomarker Research, October 2015
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Title
Paediatric acute myeloid leukaemia with the t(7;12)(q36;p13) rearrangement: a review of the biological and clinical management aspects
Published in
Biomarker Research, October 2015
DOI 10.1186/s40364-015-0041-4
Pubmed ID
Authors

Sabrina Tosi, Yasser Mostafa Kamel, Temitayo Owoka, Concetta Federico, Tony H. Truong, Salvatore Saccone

Abstract

The presence of chromosomal abnormalities is one of the most important criteria for leukaemia diagnosis and management. Infant leukaemia is a rare disease that affects children in their first year of life. It has been estimated that approximately one third of infants with acute myeloid leukaemia harbour the t(7;12)(q36;p13) rearrangement in their leukaemic blasts. However, the WHO classification of acute myeloid leukaemia does not yet include the t(7;12) as a separate entity among the different genetic subtypes, although the presence of this chromosomal abnormality has been associated with an extremely poor clinical outcome. Currently, there is no consensus treatment for t(7;12) leukaemia patients. However, with the inferior outcome with the standard induction therapy, stem cell transplantation may offer a better chance for disease control. A better insight into the chromosome biology of this entity might shed some light into the pathogenic mechanisms arising from this chromosomal translocation, that at present are not fully understood. Further work is needed to improve our understanding of the molecular and genetic basis of this disorder. This will hopefully open some grounds for possible tailored treatment for this subset of very young patients with inferior disease outcome. This review aims at highlighting the cytogenetic features that characterise the t(7;12) leukaemias for a better detection of the abnormality in the diagnostic setting. We also review treatment and clinical outcome in the cases reported to date.

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The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Bachelor 4 14%
Other 2 7%
Researcher 2 7%
Student > Ph. D. Student 2 7%
Other 5 18%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 3 11%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 8 29%