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Record W3217795007 · doi:10.1093/neuonc/noab196.719

EXTH-80. PBI-200: IN VIVO EFFICACY OF A NOVEL, HIGHLY CNS-PENETRANT NEXT GENERATION TRK INHIBITOR

2021· article· en· W3217795007 on OpenAlexaff
Kollol Pal, Anthony Régina, Aram Elagoz, Vincent Albert, Johnathan Boudreault, Marc Ouellet, Louise Pilote, Nicolas Bruneau‐Latour, Hong Wang, Limei Tao, Édith Bellavance, Peter W. White, Stéphane Ciblat, Jordan Leef, Robert Bishop

Bibliographic record

VenueNeuro-Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsParaza Pharma (Canada)
Fundersnot available
KeywordsTrk receptorIn vivoPharmacologyMedicinePotencyCancer researchIn vitroBiologyInternal medicineReceptorNeurotrophinBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract TRK kinases (TRK) are clinically validated targets for cancers harboring NTRK gene fusions. However, approved TRK inhibitors (TRKi) give rise to mutations reducing long-term clinical efficacy, and display limited CNS penetration that may impact their ability to address primary brain tumors (PBT), including high-grade gliomas. Second generation compounds in development address some resistance mutations, but are not sufficiently CNS penetrant. PBI-200 is a novel, orally active TRK inhibitor designed to overcome resistance, with high CNS penetration. In vitro assays demonstrate picomolar- to nanomolar potency against both wild-type TRK and the major acquired resistance mutations. A BaF3 xenograft model encoding the LMNA-NTRK1 gene fusion and G595R solvent front mutation showed superior efficacy with PBI-200 relative to first-generation compounds larotrectinib and entrectinib, and equivalent efficacy to the second-generation compound selitrectinib, in terms of tumor growth inhibition. Importantly, drug concentrations in the brains of PBI-200 treated mice showed an approximately 4-fold brain/plasma ratio (BPR). In contrast, BPR of other TRKi were < 0.17, indicating that only PBI-200 achieved sustained drug levels in brain. PBI-200 demonstrated statistically superior CNS efficacy and survival in a KM12-Luc intracranial murine model, as compared to other TRKi (chi-squared 45.6, p < 0.0001). By day 41, 50% of mice in the PBI-200 group remained alive, whereas mice in the other treatment groups had died on or before day 32. Of note, no gross or histopathological CNS adverse effects were observed in a 14d CNS Field Observation Battery study. Finally, PBI-200 was the most selective TRKi in a 125 kinase panel (ThermoFisher) with only 1 off-target kinase inhibited > 60% at 1 micromolar. Together, these data suggest that PBI-200 has potential as a best-in-class, highly CNS-penetrant next generation TRKi. A Phase 1/2 clinical trial evaluating PBI-200 in NTRK fusion-positive patients, including patients with PBT, is ongoing (NCT04901806).

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.051
GPT teacher head0.312
Teacher spread0.261 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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