Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26109
Title: Mechanisms associated with t(7;12) acute myeloid leukaemia: from genetics to potential treatment targets
Authors: Ragusa, D
Dijkhuis, L
Pina, C
Tosi, S
Keywords: acute myeloid leukaemia;cancer;chromosomal translocation;paediatric
Issue Date: 30-Jan-2023
Publisher: Portland Press Ltd. on behalf of the Biochemical Society
Citation: Ragusa, D. et al. (2023) 'Mechanisms associated with t(7;12) acute myeloid leukaemia: from genetics to potential treatment targets', Bioscience Reports, 43 (1), BSR20220489, pp. 1 - 17. doi: 10.1042/bsr20220489.
Abstract: Acute myeloid leukaemia (AML), typically a disease of elderly adults, affects 8 children per million each year, with the highest paediatric incidence in infants aged 0-2 of 18 per million. Recurrent cytogenetic abnormalities contribute to leukaemia pathogenesis, and are an important determinant of leukaemia classification. The t(7;12)(q36;p13) translocation is a high-risk AML subtype exclusively associated with infants, and represents the second most common abnormality in this age group. Mechanisms of t(7;12) leukaemogenesis remain poorly understood. The translocation relocates the entire MNX1 gene within the ETV6 locus, but a fusion transcript is present in only half of the patients and its significance is unclear. Instead, research has focused on ectopic MNX1 expression, a defining feature of t(7;12) leukaemia, which has nevertheless failed to produce transformation in conventional disease models. Recently, advances in genome editing technologies have made it possible to recreate the t(7;12) rearrangement at the chromosomal level. Together with recent studies of MNX1 involvement using murine in vivo, in vitro, and organoid-based leukaemia models, specific investigation on the biology of t(7;12) can provide new insights into this AML subtype. In this review, we provide a comprehensive up-to-date analysis of the biological features of t(7;12), and discuss recent advances in mechanistic understanding of the disease which may deliver much-needed therapeutic opportunities to a leukaemia of notoriously poor prognosis.
Description: Data Availability: The RNA sequencing datasets analysed in this manuscript are partly based upon data generated by the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) (https://ocg.cancer.gov/programs/target) initiative of the Acute Myeloid Leukemia (AML) cohort phs000465. The data used for this analysis are available at https://portal.gdc.cancer.gov/projects. Microarray data for paediatric AML from Balgobind et al. [54] (under accession number GSE17855) were downloaded from GEO Accession Viewer.
URI: https://bura.brunel.ac.uk/handle/2438/26109
DOI: https://doi.org/10.1042/bsr20220489
ISSN: 0144-8463
Other Identifiers: ORCID iDs: Denise Ragusa https://orcid.org/0000-0002-0303-8683; Cristina Pina https://orcid.org/0000-0002-2575-6301; Sabrina Tosi https://orcid.org/0000-0002-0036-0191.
BSR20220489
Appears in Collections:Dept of Life Sciences Research Papers

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