Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

Hematologic Neoplasms Associated with Down Syndrome: Cellular and Molecular Heterogeneity of the Diseases.

Version 1 : Received: 22 September 2023 / Approved: 22 September 2023 / Online: 25 September 2023 (04:20:18 CEST)

A peer-reviewed article of this Preprint also exists.

Peroni, E.; Gottardi, M.; D’Antona, L.; Randi, M.L.; Rosato, A.; Coltro, G. Hematologic Neoplasms Associated with Down Syndrome: Cellular and Molecular Heterogeneity of the Diseases. Int. J. Mol. Sci. 2023, 24, 15325. Peroni, E.; Gottardi, M.; D’Antona, L.; Randi, M.L.; Rosato, A.; Coltro, G. Hematologic Neoplasms Associated with Down Syndrome: Cellular and Molecular Heterogeneity of the Diseases. Int. J. Mol. Sci. 2023, 24, 15325.

Abstract

The molecular basis of Down syndrome (DS) predisposition to leukemia is not fully understood but involves various factors such as chromosomal abnormalities, oncogenic mutations, epigenetic alterations, and changes in selection dynamics. Myeloid leukemia associated with DS (ML-DS) is preceded by a preleukemic phase called transient abnormal myelopoiesis driven by GATA1 gene mutations and progresses to ML-DS through additional mutations in cohesin genes, CTCF, RAS, or JAK/STAT pathway genes. DS-related ALL (ALL-DS) differs from non-DS ALL in terms of cytogenetic subgroups and genetic driver events and aberrant expression of CRLF2, JAK2 mutations, and RAS pathway activating mutations are frequent in ALL-DS. Recent advancements in single-cell multi-omics technologies have provided unprecedented insights into the cellular and molecular heterogeneity of DS-associated hematologic neoplasms. Single-cell RNA sequencing and digital spatial profiling enable the identification of rare cell subpopulations, characterization of clonal evolution dynamics, and exploration of the tumor microenvironment's role. These approaches may help identify new druggable targets and tailor therapeutic interventions based on distinct molecular profiles, ultimately improving patient outcomes with the potential to guide personalized medicine approaches and the development of targeted therapies.

Keywords

acute myeloid leukemia; acute lymphoblastic leukemia; single-cell RNA sequencing; Down syndrome, trisomy 21; personalized medicine; multi-omics approach

Subject

Medicine and Pharmacology, Oncology and Oncogenics

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