Abstract 2157: Enhanced <i>in vitro</i> activity of dianhydrogalactitol (VAL-083) in combination with platinum drugs: Impact of p53 and platinum-resistance
Bibliographic record
Abstract
Abstract Cisplatin is an important frontline drug for ovarian carcinoma and non-small cell lung cancer (NSCLC). However, the initial response rates of up to 70% are usually followed by relapse due to the onset of drug resistance. Mechanistically, platinum resistance is multifactorial, with loss of p53 function (by mutation or inhibitory protein binding to wild-type (wt) p53) playing a central role. The appearance of drug resistance is a major clinical barrier and, therefore, new agents are needed to overcome this limitation. Dianhydrogalactitol (VAL-083) is a bi-functional alkylating agent that induces DNA interstrand cross-links at N7-guanine, a mechanism that is distinct from the intrastrand cross-links by platinum-based drugs. VAL-083 is clinically approved in China for lung cancer, and is undergoing clinical trial in the US for glioma. In the present study, we have examined the in vitro cytotoxicity of VAL-083 as a single agent and in combination with cisplatin or oxaliplatin using the 5-day MTT assay. In the isogenic HCT-116p53+/+ and HCT-116p53-/- colorectal models, loss of p53 increased IC50 of (or resistance to) cisplatin and oxaliplatin by 3- to 6-fold, whereas resistance to VAL-083 was increased only 1.7-fold by loss of p53. These results indicate that the cytotoxicity of VAL-083 is less impacted than the platinum drugs by loss of p53. When tested in cisplatin-sensitive (A2780) vs. cisplatin-resistant wt p53 ovarian tumor models (2780CP-16, OVCAR-10, Hey and OVCA-433) there was a 10- to 40-fold increase in IC50 for cisplatin, while the corresponding increase in IC50 for VAL-083 was only 4- to 7-fold. This indicates only partially cross-resistance between VAL-083 and cisplatin and thus suggests a distinct mode of action for VAL-083 as compared to cisplatin. To further investigate, immunoblots were developed after a 24-h exposure of isogenic A2780 or 2780CP-16 models to cisplatin or VAL-083. The two drugs were equally effective at stabilizing and activating p53 in A2780 cells. However, in cisplatin-resistant 2780CP-16 cells, VAL-083 was more effective than cisplatin at increasing p53 and p21 levels, and at inducing Ser-15 and Ser-20 phosphorylation of p53. This is consistent with the ability of VAL-083 to circumvent cisplatin resistance and demonstrated that this alkylating agent also has the capacity to partially restore wt p53 function in ovarian tumor cells. The independent mode of actions of these drugs suggested the potential for combining VAL-083 with cisplatin or oxaliplatin. These combinations in wt (H460 and A549) and mutant (H1975 and H157) p53 NSCLC models demonstrated significant super-additivity (p<0.05) and/or synergy (CI < 1). Taken together, these results demonstrate the antitumor activity of VAL-083 against both wt and mutant p53 cancers and raise the clinical potential for treatment in a combination setting with platinum drugs. Citation Format: Anne Steino, Guanghan He, Michelle Martinez-Rivera, Jeffrey A. Bacha, Dennis M. Brown, Zahid H. Siddik. Enhanced in vitro activity of dianhydrogalactitol (VAL-083) in combination with platinum drugs: Impact of p53 and platinum-resistance. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2157.
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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 | 0.000 |
| 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".