Inactivation of DNA Polymerase Theta (PolΘ) Is Synthetic Lethal in DNMT3A Mutated Myeloid Malignancies - Potential Clinical Applications
Bibliographic record
Abstract
Somatic mutations in DNMT3A are associated with unfavorable outcome in patients with AML, MPN and CML. DNMT3A mutations promote resistance to anthracyclines (including daunorubicin, the component of standard “7+3” induction therapy), interferon alpha, and ABL1 kinase inhibitor imatinib. Thus, malignant clones carrying DNMT3A mutations may be difficult to eliminate using standard treatments. AML, MPN and CML cells harbor oncogenic tyrosine kinase (OTK) such as FLT3(ITD), JAK2(V617F) and BCR-ABL1, respectively. We reported before that elevated levels of formaldehyde generated by altered serine/one-carbon cycle metabolism contributed to accumulation of highly lethal DNA double-strand breaks (DSBs) in OTK-positive cells. To protect malignant cells from DSB-induced apoptosis, OTKs regulate DNA damage response (DDR) mechanisms involving DSBs sensing (ATM and ATR kinases) and repairing (RAD51-mediated homologous recombination = HR, RAD52-mediated transcription associated homologous recombination = TA-HR and single strand annealing = SSA, DNA-PK -mediated non-homologous end-joining = NHEJ, Polθ-dependent microhomology-mediated end-joining = TMEJ) as well as these activating cell cycle checkpoints (CHK1 and CHK2 kinases). Unfortunately, DNMT3A mutations caused resistance of OTK-positive cells to numerous DDR inhibitors (DDRis). DDRis sensitivity screen and synthetic lethal CRISPR/Cas9 screen revealed that OTK-positive cells with DNMT3A mutations are uniquely sensitive to the inhibition of DNA polymerase theta (Polθ encoded by POLQ gene). This effect was dependent on generation of formaldehyde by serine/one-carbon cycle metabolism. Abrogation of DNMT3A function by CRISPR/Cas9 targeting, Cre-loxP gene deletion, and heterozygous R882H mutation resulted in hypersensitivity of OTK-positive murine AML-like cells and human primary AML cells to Polθ inhibitors (Polθis) due to accumulation of toxic DSBs and activation of cGAS/STING pro-apoptotic pathway. Moreover, simultaneous loss of functional DNMT3A combined with inactivation of Polθ (by CRISPR/Cas9 targeting, insertion of neo-resistance gene, and D2230A+Y2231A polymerase inactive mutant) caused accumulation of DSBs, and reduced OTK-driven clonogenic potential and leukemogenic activity in mice. Polθ is abundantly overexpressed in OTK-positive DNMT3A-deficient cells due to enhanced POLQ mRNA stability and elevated translation of Polθ protein but not due to altered POLQ methylation and Polθ protein stability. Polθ is a key element not only in TMEJ of DSBs with limited end-resection, but also in replication fork restart and in single-strand DNA (ssDNA) gap filling. OTK-positive DNMT3A-deficient cells displayed hyperactivity of Polθ-mediated TMEJ and replication fork restart, but not ssDNA gap filling. These effects were accompanied by increased loading of Polθ on DNA damage detected by Polθ foci formation and chromatin extraction. Moreover, DNMT3A deficiency modulates chromatin architecture at DSBs to limit DNA end-resection thus favoring TMEJ over HR. Furthermore, we tested the effectiveness of Polθis combined with FDA approved drugs (quizartinib, etoposide, cytarabine, azacytidine) against FLT3(ITD)-positive DNMT3A-deficient cells (primary patient cells and cell lines) in vitro and in vivo. The combination of Polθis + quizartinib and Polθis + etoposide completely eradicated clonogenic activity of these cells while Polθis + cytarabine and Polθis + azacytidine exerted modest and weak effects, respectively, when compared to individual compound treatments. These drug combinations were only modestly toxic to normal bone marrow cells. Treatment with Polθi or etoposide reduced the percentage of GFP+ FLT3(ITD)-positive DNMT3A-deficient leukemia cells in peripheral blood of the mice by ~2-fold and prolonged survival time by ~1.5-fold. Remarkably, the combination of Polθi and etoposide eradicated leukemia cells below detectable levels in 6/12 mice with no visible toxicity. Median survival time of the mice will be recorded. Altogether, we discovered that Polθ protects OTK-positive DNMT3A-deficient myeloid malignant cells from the toxic effects of DSBs and identified Polθ as a novel therapeutic target.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".