Abstract B21: The selective ATR inhibitor VX-970 enhances the therapeutic effects of standards of care in glioblastoma
Bibliographic record
Abstract
Abstract Glioblastoma (GBM) represents one of the most aggressive cancer types with the vast majority of patients succumbing to disease within the first five years. This dire prognosis reflects the limited efficacy of our frontline therapies which include radiation therapy and temozolomide (TMZ) chemotherapy. The cellular response to these therapies is critically mediated by DNA damage response signaling networks that are regulated by Ataxia Telangiectasia Mutated (ATM) and Ataxia Telangiectasia And Rad3-Related Protein (ATR). Preliminary studies from our laboratory suggest the ATR inhibitor VX-970 has single agent efficacy in both established and primary GBM cell lines. Moreover, combined treatment with TMZ demonstrated therapeutic responses that, following regression analysis, were deemed synergistic (p<0.001). Validation studies using siRNA confirmed ATR as a central mediator of TMZ sensitivity as knockdown of ATM elicited no added benefit when tested in combination. VX-970 also enhanced radiation effects in neurosphere formation assays to suggest it may also be used as a radiosensitizer. While the specific mechanism responsible for these observations has yet to be determined, VX-970 treatment was found to exert anti-proliferative effects in a dose-dependent manner. This collection of work suggests that ATR inhibition may represent a worthwhile treatment strategy in GBM. Citation Format: Danielle Burgenske, Ann Mladek, Jann Sarkaria. The selective ATR inhibitor VX-970 enhances the therapeutic effects of standards of care in glioblastoma [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr B21.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".