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Degradation of GSPT1 causes TP53-independent cell death in leukemia while sparing normal hematopoietic stem cells
Rob S. Sellar, … , Chun-Wei Chen, Benjamin L. Ebert
Rob S. Sellar, … , Chun-Wei Chen, Benjamin L. Ebert
Published June 28, 2022
Citation Information: J Clin Invest. 2022;132(16):e153514. https://doi.org/10.1172/JCI153514.
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Research Article Hematology

Degradation of GSPT1 causes TP53-independent cell death in leukemia while sparing normal hematopoietic stem cells

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Abstract

Targeted protein degradation is a rapidly advancing and expanding therapeutic approach. Drugs that degrade GSPT1 via the CRL4CRBN ubiquitin ligase are a new class of cancer therapy in active clinical development with evidence of activity against acute myeloid leukemia in early-phase trials. However, other than activation of the integrated stress response, the downstream effects of GSPT1 degradation leading to cell death are largely undefined, and no murine models are available to study these agents. We identified the domains of GSPT1 essential for cell survival and show that GSPT1 degradation leads to impaired translation termination, activation of the integrated stress response pathway, and TP53-independent cell death. CRISPR/Cas9 screens implicated decreased translation initiation as protective following GSPT1 degradation, suggesting that cells with higher levels of translation are more susceptible to the effects of GSPT1 degradation. We defined 2 Crbn amino acids that prevent Gspt1 degradation in mice, generated a knockin mouse with alteration of these residues, and demonstrated the efficacy of GSPT1-degrading drugs in vivo with relative sparing of numbers and function of long-term hematopoietic stem cells. Our results provide a mechanistic basis for the use of GSPT1 degraders for the treatment of cancer, including TP53-mutant acute myeloid leukemia.

Authors

Rob S. Sellar, Adam S. Sperling, Mikołaj Słabicki, Jessica A. Gasser, Marie E. McConkey, Katherine A. Donovan, Nada Mageed, Dylan N. Adams, Charles Zou, Peter G. Miller, Ravi K. Dutta, Steffen Boettcher, Amy E. Lin, Brittany Sandoval, Vanessa A. Quevedo Barrios, Veronica Kovalcik, Jonas Koeppel, Elizabeth K. Henderson, Emma C. Fink, Lu Yang, Anthony Chan, Sheela Pangeni Pokharel, Erik J. Bergstrom, Rajan Burt, Namrata D. Udeshi, Steven A. Carr, Eric S. Fischer, Chun-Wei Chen, Benjamin L. Ebert

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Figure 1

The interaction of GSPT1 with ETF1 is critical for leukemia cell survival.

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The interaction of GSPT1 with ETF1 is critical for leukemia cell surviva...
(A) Combined CRISPR scores in MOLM13 cells comparing sgRNA representation from triplicates at day 22 versus day 0. Gray, GC-rich (92%) polyglycine repeat; yellow, region containing regions reported to interact with survivin, p14, and poly(A)-binding protein (PABP) involved in nonsense-mediated decay; blue, GTPase domains; pink, ETF1 binding region. Numbers on the x axis represent amino acid position. The y axis represents CRISPR z score and is defined by the median change (day 22 v day 0) in the representation of the negative control sgRNAs (green line = 0.0) and the median change (day 22 v day 0) in the representation of the positive control sgRNAs (red line = –1.0). (B) Cell viability of MOLM13 cells expressing GSPT1, GSPT2, and ERF3c constructs. Cell viability was assessed using CellTiter-Glo luminescent assay. (C) Design of GSPT1 degradation reporter. (D and E) Comparison of degradation of GSPT1 (D) and GSPT1G575N (E). GFP/BFP ratio is relative to DMSO. Representative data of 3 biological replicates. Mean ± SEM of 3 technical replicates. (F) Cell viability of MOLM13 cells expressing drug-resistant GSPT1G575N, GSPT2G566N, and ERF3cG463N constructs. Cell viability was assessed using CellTiter-Glo luminescent assay. (G) Immunoprecipitation of HA-GSPT1 and HA-GSPT1 ETF1 binding mutant (ETF1Δ) with mutations in GSPT1 at S541A, I542A, Y547A, F583A, and D618A. (H) Cell viability in MOLM13 cells expressing GSPT1-ETF1Δ (drug sensitive and drug resistant; G575N). For all CellTiter-Glo luminescent assays, cell viability was assessed 72 hours after treatment with CC-885 (graphs represent combined data from 3 biological replicates performed in technical triplicate; symbols represent mean ± SEM).

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