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Germline RUNX1 variation and predisposition to childhood acute lymphoblastic leukemia
Yizhen Li, … , Mignon L. Loh, Jun J. Yang
Yizhen Li, … , Mignon L. Loh, Jun J. Yang
Published June 24, 2021
Citation Information: J Clin Invest. 2021;131(17):e147898. https://doi.org/10.1172/JCI147898.
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Research Article Genetics Oncology

Germline RUNX1 variation and predisposition to childhood acute lymphoblastic leukemia

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Abstract

Genetic alterations in the RUNX1 gene are associated with benign and malignant blood disorders, particularly of megakaryocyte and myeloid lineages. The role of RUNX1 in acute lymphoblastic leukemia (ALL) is less clear, particularly in terms of how germline genetic variation influences the predisposition to this type of leukemia. Sequencing DNA of 4836 children with B cell ALL (B-ALL) and 1354 with T cell ALL (T-ALL), we identified 31 and 18 germline RUNX1 variants, respectively. RUNX1 variants in B-ALL consistently showed minimal damaging effects. In contrast, 6 T-ALL–related variants resulted in drastic loss of RUNX1 activity as a transcription activator in vitro. Ectopic expression of dominant-negative RUNX1 variants in human CD34+ cells repressed differentiation into erythroid cells, megakaryocytes, and T cells, while promoting myeloid cell development. Chromatin immunoprecipitation sequencing of T-ALL models showed distinctive patterns of RUNX1 binding by variant proteins. Further whole-genome sequencing identified the JAK3 mutation as the most frequent somatic genomic abnormality in T-ALL with germline RUNX1 variants. Cointroduction of RUNX1 variant and JAK3 mutation in hematopoietic stem and progenitor cells in mice gave rise to T-ALL with the early T cell precursor phenotype. Taken together, these results indicate that RUNX1 is an important predisposition gene for T-ALL and point to biology of RUNX1-mediated leukemogenesis in the lymphoid lineages.

Authors

Yizhen Li, Wentao Yang, Meenakshi Devidas, Stuart S. Winter, Chimene Kesserwan, Wenjian Yang, Kimberly P. Dunsmore, Colton Smith, Maoxiang Qian, Xujie Zhao, Ranran Zhang, Julie M. Gastier-Foster, Elizabeth A. Raetz, William L. Carroll, Chunliang Li, Paul P. Liu, Karen R. Rabin, Takaomi Sanda, Charles G. Mullighan, Kim E. Nichols, William E. Evans, Ching-Hon Pui, Stephen P. Hunger, David T. Teachey, Mary V. Relling, Mignon L. Loh, Jun J. Yang

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Figure 7

RUNX1 variation and JAK3 mutation jointly drive ETP phenotype in murine bone marrow transplantation model.

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RUNX1 variation and JAK3 mutation jointly drive ETP phenotype in murine...
(A) Peripheral leukocyte count of RUNX1M, JAK3M, JAK3MRUNX1M, and control mice. Mouse hematopoietic stem and progenitor cells were lentivirally transduced with RUNX1M and JAK3M constructs or EV and injected into recipient 8-week-old female mice. Peripheral blood count was monitored biweekly. (B and C) There was a significant increase in the CD8+ population in JAK3M mice compared with control mice. RUNX1M and JAK3MRUNX1M mice showed increases of Mac1+ cells and fewer CD3+ cells than control or JAK3M mice at 4 months. Control, n = 7; RUNX1M, n = 8; JAK3M, n = 5; JAK3MRUNX1M, n = 6. (D) Upper panel: blood smear of JAK3M and JAK3MRUNX1M mice at the time of sacrifice and control mice at 4 months. Scale bar: 50 μm. Lower panel: percentages of mice that developed leukemia in each group. JAK3M, 100%; JAK3MRUNX1M, 66.7%. (E) Peripheral leukocyte count of JAK3MRUNX1M (n = 4) and JAK3M (n = 5) mice at time of sacrifice and control (n = 7) mice after 4 months of transplantation. (F) Spleen weight of JAK3M (n = 5) and JAK3MRUNX1M (n = 4) mice at time of sacrifice and control mice (n = 4) after 4 months of transplantation. (G and H) Thymocyte immunophenotype of JAK3M (n = 5) and JAK3MRUNX1M (n = 4) mice at time of sacrifice. Coexpression of RUNX1M and JAK3M resulted in a drastic increase in DN1 population compared with that in mice receiving LSK cells expressing JAK3M only. (I) In peripheral blood (n = 3), bone marrow (n = 4), and spleen (n = 4), JAK3MRUNX1M mice showed a significant increase in Mac1+ population and a reduction of the CD3+ population compared with JAK3M (n = 5) mice. For E and F, P values were estimated by using Dunnett’s test. For B, C, G, H, and I, data represent mean ± SEM and P values were generated by t test. *P < 0.05; **P < 0.01; ***P < 0.001.

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