Functional assessment of inherited myeloid neoplasm‐associated SAMD9L germline variants via Monoallelic CRISPR modelling

While the majority of myeloid neoplasms are sporadic, the increasing application of germline genetic testing has led the World Health Organization to designate 'Myeloid malignancies with germline predisposition' as a distinct clinical entity, carrying major implications for clinical care and research. Germline variants in the Sterile alpha motif domain-containing 9-like (SAMD9L) gene are specifically associated with an increased risk for these malignancies. In this study, we functionally modelled two novel SAMD9L variants-p.N697Y and p.K1294*-alongside two previously reported variants (p.T233N and p.H880Q). We generated heterozygous knock-in cellular models in the Human leukemia (HL-60 myeloid cell line) for each variant using homology-directed repair-based Clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9) gene editing. Functional assays, focused on proliferation and protein translation, confirmed that the p.T233N, p.N697Y and p.K1294* variants all caused a decreased rate of protein translation. These results provide functional evidence to fine-tune the classification of these SAMD9L variants and significantly advance our understanding of the molecular mechanisms by which SAMD9L variants drive inherited myeloid neoplasms.

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Publication Details

Journal
British Journal of Haematology
Published
2026-08-28
DOI
https://doi.org/10.1111/bjh.70799
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Functional assessment of inherited myeloid neoplasm‐associated SAMD9L germline variants via Monoallelic CRISPR modelling

Matías Morin, Marta Santiago-Balsera, Alessandro Liquori, Elena Vuelta et al.
British Journal of Haematology
Acute Myeloid Leukemia Research
article

Functional assessment of inherited myeloid neoplasm‐associated SAMD9L germline variants via Monoallelic CRISPR modelling

Matías Morin, Marta Santiago-Balsera, Alessandro Liquori, Elena Vuelta, Miguel A. Moreno‐Pelayo, Lucía Soletto, Alejandra Sanjuán-Pla, Miguel Gallardo, Miguel Ángel Marugal-López, José Cervera
article en

Abstract

While the majority of myeloid neoplasms are sporadic, the increasing application of germline genetic testing has led the World Health Organization to designate 'Myeloid malignancies with germline predisposition' as a distinct clinical entity, carrying major implications for clinical care and research. Germline variants in the Sterile alpha motif domain-containing 9-like (SAMD9L) gene are specifically associated with an increased risk for these malignancies. In this study, we functionally modelled two novel SAMD9L variants-p.N697Y and p.K1294*-alongside two previously reported variants (p.T233N and p.H880Q). We generated heterozygous knock-in cellular models in the Human leukemia (HL-60 myeloid cell line) for each variant using homology-directed repair-based Clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9) gene editing. Functional assays, focused on proliferation and protein translation, confirmed that the p.T233N, p.N697Y and p.K1294* variants all caused a decreased rate of protein translation. These results provide functional evidence to fine-tune the classification of these SAMD9L variants and significantly advance our understanding of the molecular mechanisms by which SAMD9L variants drive inherited myeloid neoplasms.

British Journal of Haematology
Universidad de Alcalá (ES), Hospital Universitari i Politècnic La Fe (ES), Research Institute Hospital 12 de Octubre (ES), Spanish National Cancer Research Centre (ES), Hospital Universitario 12 De Octubre (ES), Centre for Biomedical Network Research on Rare Diseases (ES), Centro de Investigación Biomédica en Red de Cáncer (ES), Instituto de Investigación Sanitaria La Fe (ES)
Ministerio de Ciencia, Innovación y Universidades, Ministerio de Educación y Ciencias, Instituto de Salud Carlos III
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
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