Abstract 4833: Inhibiting the mitochondrial RNA degradosome complex SUV3 and PNPase increases dsRNA in the cytoplasm, triggers a viral mimicry response and kills AML cells and progenitors
Bibliographic record
Abstract
Abstract Eukaryotic cells have two separate genomes; nuclear chromosomal DNA and circular mitochondrial DNA. Mitochondrial DNA lacks introns, and encodes 2 rRNAs, 22 t-RNAs and 13 of the 90 proteins that constitute the mitochondrial respiratory chain. To maintain homeostasis, mitochondrial RNA degradation machinery regulates RNA turnover. ATP-dependent helicase, SUV3 (gene SUPV3L1), and exonuclease PNPase (gene PNPT1) function as a complex to degrade mitochondrial dsRNA. By immunoblotting, PNPase and SUV3 proteins were increased in 7/7 AML patient samples and 13/13 of AML cell lines, compared to the normal hematopoietic cells. Analysis of the TARGET AML dataset revealed AML patients with increased expression of SUPV3L1 (p = 0.051, p= 0.045) and PNPT1 (p = 0.0013, p = 0.018) had decreased overall and event free survival. Genetic knockdown or knockout using shRNA or sgRNA against PNPT1 or SUPV3L1 decreased growth and viability of OCI-AML2, TEX, K562, U937, NB4 and OCI-AML 8227 cells. Furthermore, SUPV3L1 & PNPT1 ranked in the top 5.2% and 7.4% of essential genes in 26 leukemia cell lines in CRISPR screens and 2.7% and 4.9% in RNAi screens (depmap.org). Knockdown of PNPT1 & SUPV3L1 also reduced the clonogenic growth of OCI-AML2, TEX and U937 cells and significantly reduced engraftment of TEX cells into the marrow of immune deficient mice, demonstrating the functional importance on leukemia initiating cells in vivo. SUPV3L1 knockdown in primary AML cells reduced engraftment in marrow of immune deficient mice. Bioinformatics analysis to detect processes associated with PNPT1 and SUPV3L1, we identified associations with Response to exogenous dsRNA, Response to virus, and RNA catabolic process ontologies. Consistent with this, we observed knockdown of PNPT1 or SUPV3L1 increased expression of genes (INFgR1, ICAM, IRF7 & JAK/STAT) suggesting an interferon response. As PNPT1 and SUPV3L1 degrade mitochondrial dsRNA, we measured levels of dsRNA after knockdown of these genes. Knockdown of PNPT1 and SUPV3L1 in OCI-AML2 cells increased levels of cytoplasmic/mitochondrial dsRNA 3-4 fold compared to control. Knockdown of PNPT1 and SUPV3L1 also increased dsRNA in 143B cells, but not Rho (0) 143B cells that lack mitochondrial DNA. Upregulation of inflammatory genes leads to viral mimicry and can increase sensitivity to immune mediated killing. We observed enhanced sensitivity to Double Negative T (DNT) cells mediated killing in PNPT1 and SUPV3L1 knockdown OCI-AML2 cells compared to control cells. In summary, RNA degradosome complex proteins SUPV3L1 and PNPT1 are overexpressed in AML, and are essential for the survival of AML cells and AML stem/progenitors. These enzymes regulate levels of mitochondrial dsRNA, and their inhibition leads to increased cytoplasmic dsRNA triggering a viral mimicry response and enhanced sensitivity to immune-mediated killing. Citation Format: Geethu Emily Thomas, Kazem Nouri, Jong Bok Lee, Rose Hurren, Yongran Yan, Neil MacLean, Yulia Jitkova, Li Ma, Xiao Ming Wang, Chaitra Sarathy, Andrea Arruda, Mark D. Minden, Li Zhang, Vito Spadavecchio, Aaron Schimmer. Inhibiting the mitochondrial RNA degradosome complex SUV3 and PNPase increases dsRNA in the cytoplasm, triggers a viral mimicry response and kills AML cells and progenitors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4833.
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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) | 0.005 | 0.001 |
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".