TMET-34. PYROPTOSIS IS AN ACQUIRED VULNERABILITY OF BRAIN METASTASES
Bibliographic record
Abstract
Abstract Metastasis, the spread of cancer cells from one part of the body to another, is a leading cause of death among cancer patients. Three particularly dangerous forms of metastases are the spread of lung, skin, and breast cancers to the brain. On average survival time of all brain metastasis (BM) patients is around 4 months, which is accompanied by a failing and undefined standard of care. We have strived to bridge the gap between novel safe therapeutics and brain metastasis patients by discovering and targeting metabolic vulnerabilities in brain metastases. Here, we conducted comparative metabolomic screening in patient-derived BM lines versus normal brain cells to identify dihydroorotate dehydrogenase (DHODH) as a cancer-selective targetable vulnerability. DHODH is an essential enzyme that is located within the inner membrane of the mitochondria which has a primary role in producing pyrimidine metabolites through the de novo uridine synthesis pathway and also contributes to the proper functioning of the electron transport chain. Through this, DHODH has been implicated in the essential functioning of energy metabolism, DNA and RNA synthesis, and most recently in the modulation of the immune system. In our studies we have elucidated the significant effect DHODH inhibitors and the induction of DHODH CRISPR knock-out has against the cell viability, sphere formation, and proliferation of patient derived BM samples in vitro and in vivo. Furthermore, through metabolomics we have discovered that following DHODH perturbation, there is a significant increase in a signaling lipid (D-ethryo-Dihydrosphingosine) that specifically inhibits Protein Kinase C (PKC) and initiates Gasdermin E (GSDME) mediated pyroptosis. By uncovering this mechanism we have discovered GSDME mediated pyroptosis is an aquired vulnerability of brain metastases. Overall, this study highlights the translational potential of DHODH inhibitors in BM and elucidates novel mechanistic underpinnings of nucleotide deprivation within the context of cell death.
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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) | 0.003 | 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".