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Record W2954741918 · doi:10.1158/1538-7445.am2019-3499

Abstract 3499: Dianhydrogalactitol (VAL-083) in combination with AZD1775 increases survival in diffuse intrinsic pontine glioma (DIPG), in vivo

2019· article· en· W2954741918 on OpenAlexaff
Anne Steinø, Cassie Kline, Jeffrey Bacha, Dennis Brown, Sabine Mueller

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsDelmar (Canada)
Fundersnot available
KeywordsWee1In vivoCancer researchCell cycle checkpointKinaseCancerCell cycleDNA damageChemistryCell culturePharmacologyCellMedicineBiologyDNACyclin-dependent kinase 1BiochemistryInternal medicineGenetics

Abstract

fetched live from OpenAlex

Abstract OBJECTION: VAL-083 is a structurally unique bi-functional DNA targeting agent that readily crosses the blood-brain barrier and accumulates in brain tumor tissue. VAL-083 induces interstrand crosslinks leading to DNA double-strand breaks and S/G2 cell cycle arrest. By inhibiting the G2 checkpoint regulator kinase Wee1, AZD1775 allows a cancer cell with DNA damage to progress past the G2 checkpoint and into premature mitosis leading to cancer cell death. Herein we assess the activity of VAL-083 as single agent as well as in combination with Wee1 Kinase inhibitor AZD1775 in patient derived model systems of DIPG. METHODS: DIPG derived cell lines SF8628 and NEM157 (H3.3K27) as well as SF10693 (H3.1K27M) and pediatric glioblastoma cell lines SF188 (H3.3K27 wildtype) were treated with increasing concentrations of single agent VAL-083 as well as in combination with AZD1775. To determine potential synergistic activity, we applied the Chou-Talalay method, which allows the quantitative determination of drug interactions by calculating a combination index (CI). In vivo activity of VAL-083 (3 mg/kg) as single agent as well as in combination with AZD1775 (60 mg/kg) was assessed in an orthotopic engraftment model of pediatric DIPG (SF8628). RESULTS: The IC50 of VAL-083 as single agent ranged from 1µM to 10µM. VAL-083 exhibited synergistic activity in combination with AZD1775 in cell lines SF8628 and SF188 and additive effect in NEM157 with CI values ranging from 0.04 to 0.95, with CI < 1 indicating synergy. In vivo, treatment with VAL-083 as single agent and in combination with AZD1775 conferred significant survival benefit to mice with engrafted DIPG tumors compared to control as well as single agent treatment with AZD1775. The median survival for mice treated with VAL-083 alone was 54.5 days (p=0.0004, VAL-083 vs. control) and for the VAL-083/AZD1775 combination it was 62 days (p<0.0001, VAL-083/AZD1775 vs. control), compared to 44 days for control and 47 days for mice treated with AZD1775 alone (p=0.0839, AZD1775 vs. control). CONCLUSION: Our present study highlights that the combination of VAL-083 and AZD1775 might be a promising new therapeutic strategy for children with DIPG. Ongoing studies continue to assess the in vivo activity in other DIPG models as well explore the underlying mechanism of action of the combination strategy. Citation Format: Anne Steino, Xiaodong Yang, Cassie Kline, Jeffrey Bacha, Dennis M. Brown, Sabine Mueller. Dianhydrogalactitol (VAL-083) in combination with AZD1775 increases survival in diffuse intrinsic pontine glioma (DIPG), in vivo [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3499.

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 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.351
Teacher spread0.318 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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