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RUNX2 regulates leukemic cell metabolism and chemotaxis in high-risk T cell acute lymphoblastic leukemia
Filip Matthijssens, … , Pieter Van Vlierberghe, Ksenia Matlawska-Wasowska
Filip Matthijssens, … , Pieter Van Vlierberghe, Ksenia Matlawska-Wasowska
Published February 8, 2021
Citation Information: J Clin Invest. 2021;131(6):e141566. https://doi.org/10.1172/JCI141566.
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Research Article Oncology Article has an altmetric score of 10

RUNX2 regulates leukemic cell metabolism and chemotaxis in high-risk T cell acute lymphoblastic leukemia

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Abstract

T cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with inferior outcome compared with that of B cell ALL. Here, we show that Runt-related transcription factor 2 (RUNX2) was upregulated in high-risk T-ALL with KMT2A rearrangements (KMT2A-R) or an immature immunophenotype. In KMT2A-R cells, we identified RUNX2 as a direct target of the KMT2A chimeras, where it reciprocally bound the KMT2A promoter, establishing a regulatory feed-forward mechanism. Notably, RUNX2 was required for survival of immature and KMT2A-R T-ALL cells in vitro and in vivo. We report direct transcriptional regulation of CXCR4 signaling by RUNX2, thereby promoting chemotaxis, adhesion, and homing to medullary and extramedullary sites. RUNX2 enabled these energy-demanding processes by increasing metabolic activity in T-ALL cells through positive regulation of both glycolysis and oxidative phosphorylation. Concurrently, RUNX2 upregulation increased mitochondrial dynamics and biogenesis in T-ALL cells. Finally, as a proof of concept, we demonstrate that immature and KMT2A-R T-ALL cells were vulnerable to pharmacological targeting of the interaction between RUNX2 and its cofactor CBFβ. In conclusion, we show that RUNX2 acts as a dependency factor in high-risk subtypes of human T-ALL through concomitant regulation of tumor metabolism and leukemic cell migration.

Authors

Filip Matthijssens, Nitesh D. Sharma, Monique Nysus, Christian K. Nickl, Huining Kang, Dominique R. Perez, Beatrice Lintermans, Wouter Van Loocke, Juliette Roels, Sofie Peirs, Lisa Demoen, Tim Pieters, Lindy Reunes, Tim Lammens, Barbara De Moerloose, Filip Van Nieuwerburgh, Dieter L. Deforce, Laurence C. Cheung, Rishi S. Kotecha, Martijn D.P. Risseeuw, Serge Van Calenbergh, Takeshi Takarada, Yukio Yoneda, Frederik W. van Delft, Richard B. Lock, Seth D. Merkley, Alexandre Chigaev, Larry A. Sklar, Charles G. Mullighan, Mignon L. Loh, Stuart S. Winter, Stephen P. Hunger, Steven Goossens, Eliseo F. Castillo, Wojciech Ornatowski, Pieter Van Vlierberghe, Ksenia Matlawska-Wasowska

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Figure 6

RUNX2 potentiates glycolytic and oxidative metabolism in T-ALL cells.

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RUNX2 potentiates glycolytic and oxidative metabolism in T-ALL cells.
(A...
(A) CCRF-CEM and PF382 cells were transduced with RUNX2 expressing (RUNX2 OE) and negative control plasmids. ECAR in glucose stress assay tested on the Seahorse XF24 Bioanalyzer. (B) Representative histograms for GLUT1 levels (top); MFI ± SD, 3 separate experiments (bottom). (C) Migration of T-ALL cells pretreated with glucose inhibitor (2DG, 1 mM; 16 hours) ± CXCL12 (50 ng/μl; 6 hours, 3 μm porous membrane). Data are represented as mean ± SD, 3 independent experiments performed in duplicate. (D) ECAR quantification and (E) GLUT1 levels in MOHITO-negative control cells, MOHITO-expressing KMT2A-R (KMT2A-MLLT4, KMT2A-MLLT1) and transduced with RUNX2 shRNAs (shRUNX2 B, shRUNX2 C) or scrambled control. Representative histograms for GLUT1 expression (left); MFI ± SD, 3 independent experiments (right). OCR upon RUNX2 forced expression in (F) CCRF-CEM and (G) PF382 cells analyzed using Mito Stress assay on the Seahorse XF24 Bioanalyzer. (H) Plot representing OCR/ECAR ratios in RUNX2 OE vs. control cells. (I) OCR and (J) ratio of OCR/ECAR for MOHITO control cells and MOHITO cells with or without KMT2A-R followed by shRNA-mediated RUNX2 silencing. (K) RUNX2 and H3K27ac binding on the LDHA, PGK1, and CHCHD2 gene regions in KARPAS-45. (L) Western blot analysis using indicated antibodies. Representative blots from at least 2 independent experiments. (A, D, and F–J) Data from 1 (mean ± SD) of 2 independent experiments performed in triplicate. (A, B, F, and G) Unpaired 2-tailed t test with Holm-Šidák correction for multiple comparisons; (C, D, and I) 2-way ANOVA with Tukey’s multiple comparison test; (E) 1-way ANOVA with Tukey’s multiple comparison test. *P < 0.05; **P < 0.005; ***P < 0.0005; ****P < 0.0001.

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