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Record W3083004448 · doi:10.1158/1538-7445.am2020-5231

Abstract 5231: Dianhydrogalactitol (VAL-083) exhibits strong efficacy in GBM tumors with different (epi)genetic background and treatment history

2020· article· en· W3083004448 on OpenAlexaff
Anna Golebiewska, Anaïs Oudin, Virginie Baus, Ann‐Christin Hau, Eliane Klein, Anne Steinø, Jeffrey Bacha, Simone P. Niclou, Dennis Brown

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsDelmar (Canada)
Fundersnot available
KeywordsTemozolomideBevacizumabCancer researchBrain tumorMedicineO-6-methylguanine-DNA methyltransferaseMethyltransferaseIn vivoGliomaOncologyInternal medicineChemotherapyBiologyPathologyDNAMethylation

Abstract

fetched live from OpenAlex

Abstract Background: Standard-of-care for glioblastoma (GBM) includes surgery, radiation and temozolomide (TMZ). Nearly all tumors recur and 5-year survival is less than 3%. Unmethylated promoter status for O6-methylguanine-DNA-methyltransferase (MGMT) is a validated biomarker for TMZ-resistance. Second-line treatment with bevacizumab has failed to improve survival and GBMs escape treatment by inducing intratumor hypoxia. VAL-083 is a bi-functional DNA-targeting agent that readily crosses the blood-brain barrier and accumulates in brain tumor tissue. VAL-083 induces DNA interstrand crosslinks at N7-guanine, leading to double-strand breaks and cancer cell-death in GBM cells, independent of MGMT. VAL-083 is currently in Phase II clinical trial for the treatment of MGMT promoter unmethylated GBM, both recurrent and treatment-naïve (NCT02717962, NCT03050736), and it remains to be seen if it shows enhanced anti-tumor effect compared to TMZ. Based on its unique monosaccharide backbone structure, VAL-083 may also benefit from bevacizumab-induced GLUT transporter upregulation leading to enhanced uptake and anti-tumor activity. Methods: The cytotoxic effect of VAL-083 and TMZ was verified in 3D GBM organoids derived from 18 patient-derived orthotopic xenograft (PDOX) GBM models of different (epi)genetic background. Cell responses to drugs were calculated as the area under the curve (AUC). We further evaluated VAL-083 ability to decrease tumor growth in vivo in a MGMT-unmethylated, temozolomide-resistant recurrent GBM PDOX model. Mice were grouped into control, bevacizumab, VAL-083, and VAL-083+bevacizmab. Tumor progression was measured by MRI and histopathological assessment. Results: GBM organoids showed only partial response to TMZ. As expected, MGMT- methylated GBMs were less resistant in comparison to MGMT-unmethylated GBMs. VAL-083 was generally more effective than TMZ and response to VAL-083 was not dependent on MGMT promoter methylation status. Responses to TMZ and VAL-083 were comparable between treatment-naïve PDOXs and PDOXs derived from patients previously treated with TMZ and radiation. VAL-083 led to dramatic reduction of tumor growth in vivo (-83% for VAL-083 group, -90% for VAL-083 + bevacizumab). The analysis of tumor growth in time showed further reduction of tumor progression upon combined treatment. Histological assessment showed increased DNA damage (H2AX-P) in tumor cells. H2AX-P was only slightly increased in certain zones of the normal brain, close to meninges and subventricular zone, to a much lower extend in comparison to tumor cell, which was in line with the low toxicity of VAL-083. Citation Format: Anna Golebiewska, Anaïs Oudin, Virginie Baus, Ann-Christin Hau, Eliane Klein, Anne Steino, Jeffrey A. Bacha, Simone P. Niclou, Dennis M. Brown. Dianhydrogalactitol (VAL-083) exhibits strong efficacy in GBM tumors with different (epi)genetic background and treatment history [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5231.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.153
GPT teacher head0.378
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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