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Record W3215508843 · doi:10.1093/neuonc/noab196.242

CTNI-17. A PHASE 1 WITH DOSE EXPANSION/PHASE 2 STUDY OF SELINEXOR IN COMBINATION WITH STANDARD OF CARE THERAPY FOR NEWLY DIAGNOSED OR RECURRENT GLIOBLASTOMA

2021· article· en· W3215508843 on OpenAlexaff
Yazmín Odia, Patrick Y. Wen, Minesh P. Mehta, Howard Colman, Erin Dunbar, Nicholas Butowski, Rebecca A. Harrison, Michael Schulder, John A. Boockvar, Frances Chow, Priya Kumthekar, Warren Mason, Vyshak Alva Venur, Scott R. Plotkin, Andrew B. Lassman, Paul Duic, Sharon Tamir, Kai Li, Yang Liu, Gregory R. Mundy, Yasaman Damestani, Eric Sbar, Jatin J. Shah, Sharon Shacham, Samuel Goldlust

Bibliographic record

VenueNeuro-Oncology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsTemozolomideClinical endpointMedicineOncologyBevacizumabPhases of clinical researchInternal medicineRadiation therapyClinical trialCancer researchChemotherapy

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Glioblastoma (GBM) is the most common and aggressive primary brain tumor with median overall survival of 15 months and 5-7 months for patients with newly diagnosed or recurrent disease (nGBM or rGBM), respectively. Selinexor is a first-in-class, oral, selective inhibitor of nuclear export which blocks exportin 1 (XPO1), forcing the nuclear retention and reactivation of tumor suppressor proteins, ultimately causing cancer cell death. Increased XPO1 expression in gliomas is associated with higher pathological grade and poorer prognosis. Consistent with these data, selinexor inhibited tumor growth and prolonged survival in an animal model of GBM. Importantly, selinexor showed encouraging intra-tumoral penetration and single-agent efficacy in rGBM (KING study). The current trial tests the hypothesis that adding selinexor to standard therapy will improve clinical outcomes for patients with nGBM or rGBM. METHODS To facilitate the successful development of new therapies, consensus recommendations are to use biomarker enrichment and flexible design that allows expansion of promising cohorts. Accordingly, this phase 1a dose finding study is followed by a phase 1b dose expansion (and ultimately by a 1:1 randomized phase 2 efficacy exploration trial) to independently evaluate: radiation + selinexor in nGBM with unmethylated MGMT promoter (Arm A), radiation + temozolomide + selinexor for nGBM with methylated MGMT promoter (Arm B), and lomustine + selinexor in rGBM (Arm C). Bevacizumab or TTField + selinexor in rGBM (Arms D & E, respectively) are being considered. The Phase 1a primary endpoint is maximum tolerated dose/recommended phase 2 dose. The phase 1b primary endpoint is PFS at 3 months against historic controls. The phase 1b dose expansion is included to evaluate preliminary efficacy before launching into a randomized phase 2 trial. Patient quality of life during the trial will be objectively measured using digital devices (e.g. smartwatch/customized smartphone app). We are currently enrolling patients nationwide. Clinical Trial Registration number: NCT04421378.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.386
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.313
Teacher spread0.299 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

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