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Phase I safety and pharmacokinetic (PK) study of veliparib in combination with whole brain radiation therapy (WBRT) in patients (pts) with brain metastases.

2012· article· en· W2598833272 on OpenAlexaff
Minesh P. Mehta, Walter J. Curran, Ding Wang, Fen Wang, Lawrence Kleinberg, Anthony Brade, Nael M. Mostafa, Xiangdong Zhou, Jiang Qian, Terri Leahy, Bhardwaj Desai, Vincent L. Giranda

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsVeliparibMedicineInternal medicineAdverse effectOncologyNauseaPARP inhibitorRadiation therapySurgery

Abstract

fetched live from OpenAlex

2013 Background: Veliparib is an oral PARP-1 and -2 inhibitor that enhances the antitumor activity of DNA damaging agents including radiation therapy in vivo. In pre-clinical models, veliparib crosses the blood-brain barrier. This ongoing phase I dose-escalation study evaluates the safety, PK, and provides preliminary antitumor activity of veliparib in combination with WBRT in pts with brain metastases. Methods: Pts with brain metastases from non-CNS primary solid malignancy, adequate organ function, RPA Class 2, and KPS ≥70 were treated with WBRT (37.5 Gy in 15 fractions or 30 Gy in 10 fractions) QD with veliparib BID with every fraction of WBRT in escalating doses of 10, 20, 30, 50, 100, 150, and 200 mg; the final WBRT fraction was followed by 1 extra day of veliparib. Safety, PK, and tumor response by RECIST were assessed. Results: At the time of reporting 59 pts (M/F, 21/38; median age 57 y) had been treated. Baseline KPS was 70, 80, 90, and 100 in 6.8, 32.2, 40.7, and 20.3% pts, respectively; primary tumor types were breast (n=20), NSCLC (n=20), melanoma (n=9), colorectal (n=2), and others (n=8); 71.2% pts had multiple lesions; and 18.6% had prior brain SRS. Grade 3/4 treatment-emergent adverse events (TEAEs; ≥5%) were fatigue (6.8%), anemia (5.1%), hyponatraemia (5.1%), and thrombocytopenia (5.1%); other TEAEs (≥20%) were fatigue (57.6%), headache (42.4%), nausea (40.7%), alopecia (28.8%), vomiting (22%), radiation skin reactions (22%), and decreased appetite (22%). PK of veliparib were approximately dose-proportional, with oral clearance of 21.6 ± 14.2 L/h (mean ± SD, n=45), minimal drug accumulation at day 15, and no significant effect of food on bioavailability. Tumor response was evaluable in 48 pts. Best tumor response and median survival were 37.5% and 10 months (m) for NSCLC, and 52.9% and 12.5 m for breast cancer (excluding pts with leptomeningeal disease). Conclusions: Addition of veliparib up to 200 mg BID was well tolerated with concurrent WBRT and dose escalation ongoing. The PK of veliparib was dose proportional with no food effect. Preliminary antitumor activity is encouraging and informative for the design of more definitive trials.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.084
GPT teacher head0.475
Teacher spread0.391 · 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 designNon-randomized trial
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".

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Citations17
Published2012
Admission routes1
Has abstractyes

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