Effect of VAL-083, a novel N7 alkylating agent, on growth of temolozomide-resistant primary adult glioblastoma multiforme (GBM) cells providing a new potential treatment option for GBM.
Bibliographic record
Abstract
e13123 Background: Glioblastoma (GBM) remains one of the most difficult tumors to treat first because many new agents fail to cross the blood brain barrier (BBB), and second due to intrinsic drug resistance. Temozolomide (TMZ) is a front-line therapy for the treatment of GBM; however, it is often ineffective due to drug inactivation by O6-methylguanine-DNA methyltransferase (MGMT). Cancer stem cells (CSC) are a subpopulation of the tumor that resist therapy and give rise to relapse. Here we describe VAL-083, a novel alkylating agent that creates N7 methylation on DNA, and readily crosses the BBB. VAL-083 is currently undergoing human clinical trials in the USA in refractory GBM patients. We previously described how VAL-083 can overcome resistance associated with MGMT in cell lines, and targets brain tumor CSCs. This demonstrates that VAL-083 has the potential to surpass the standard-of-care. Methods: To provide further preclinical support for VAL-083 we examined the effect of VAL-083 on primary adult GBM cells in culture, isolated fresh following surgical resection, in cases where clinical activity of TMZ was known to be limited and high expression of MGMT had been observed. Results: VAL-083 (5uM) inhibited cell growth in these primary adult GBMs that did not show significant sensitivity to TMZ in vitro. VAL-083 also inhibited the growth of CSCs by 100% in neurosphere growth assays. Conclusions: In summary, VAL-083 demonstrates in vitro efficacy against primary adult GBM cells where TMZ has limited activity thereby further supporting the potential of VAL-083 to surpas the standard-of-care.
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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) | 0.001 | 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".