Abstract 3677: DNA damage signaling activates <i>de novo</i> GTP synthesis to promote chemoradiation resistance in glioblastoma
Bibliographic record
Abstract
Abstract Glioblastoma (GBM) is uniformly fatal due to inherent radiation (RT) and chemotherapy resistance. We have found this therapeutic resistance is mediated by alterations in tumor cellular metabolic activity. Our group and others have found that metabolites can regulate DNA repair and RT resistance in brain tumors, but little is known about how DNA damage regulates metabolic pathway activity in cancer. Here, we show that DNA damage acutely increases guanine-containing purine metabolites in multiple in vitro and intracranial GBM models. By interrogating metabolic fluxes in vitro using a variety of stable isotope tracers, we confirmed RT-induced elevation in guanylates was due to increased de novo purine synthesis (DNPS) rather than activation of purine salvage. By developing and using novel stable isotope tracing methods to directly measure DNPS in awake, unrestrained mice, we confirmed that orthotopic GBMs have higher DNPS rates than adjacent cortical tissue that further increase after treatment with RT. Neither salvage synthesis of purines nor pyrimidine synthesis were impacted by RT in any intracranial tissues. With these findings, we opened a clinical study to directly measure purine synthesis in patients, and we found that human GBMs have similarly high purine synthesis rates compared to normal brain tissue. Because DNA damage activated DNPS without affecting purine salvage or pyrimidine synthesis, we reasoned that active signaling may be involved. Indeed, therapy-induced DNPS increases are lost in vitro and in vivo upon pharmacological or genomic inhibition of the DNA-damage sensing kinase DNA-PK. Moreover, RT and DNA-PK have direct influence over the spatial organization of DNPS enzymes, including IMPDH, the rate-limiting step in guanylate synthesis. Because purines can promote DNA repair, these findings suggest that DNA-PK signaling helps promote DNA repair in part by causing the spatial reorganization of DNPS enzymes, thereby activating purine synthesis. To determine if disrupting this regulation can augment GBM treatment efficacy, we combined an FDA-approved inhibitor of purine synthesis with chemoradiation in a variety of mouse models of GBM. Critically, targeting GTP synthesis improved the efficacy of both RT alone and chemoradiation in multiple patient-derived and syngeneic intracranial models, suggesting a potential therapeutic targeting opportunity in patients. In this study, we have developed novel methodology to directly measure purine synthesis in brain tumors in mice and humans. With these tools, we discovered that after DNA damage, DNA-PK mediates a novel pathway controlling the spatial reorganization of purine synthesis enzymes and subsequent DNPS increases. The resulting elevation of GTP levels promotes therapy resistance in tumors, and we are now directly measuring and inhibiting this molecular activity in patients with GBM in an effort to improve standard therapy. Citation Format: Andrew J. Scott, Alexandra M. O'Brien, Weihua Zhou, Vidhi Pareek, Zhou Sha, Sravya Palavalasa, Ayesha U. Kothari, Kari Wilder-Romans, Li Zhang, Anthony C. Andren, Sriram Chandrasekaran, Jason Heth, Yoshie Umemura, Nathan Qi, John Woulfe, Sriram Venneti, Meredith A. Morgan, Theodore S. Lawrence, Wajd N. Al-Holou, Costas A. Lyssiotis, Daniel R. Wahl. DNA damage signaling activates de novo GTP synthesis to promote chemoradiation resistance in glioblastoma. [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 3677.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".