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A phase 1b/2 study of amcasertib, a first-in-class cancer stemness kinase inhibitor in advanced head and neck cancer.

2017· article· en· W2891996081 on OpenAlexaff
Gregory M. Coté, Nicole G. Chau, Alexander I. Spira, William J. Edenfield, Scott A. Laurie, Donald Richards, Stephen Richey, Yuan Gao, Youzhi Li, Wěi Li, Matthew Hitron, Chiang Li

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineCancerAdverse effectHead and neck cancerNauseaResponse Evaluation Criteria in Solid TumorsInternal medicineTolerabilitySalivary gland cancerRadiation therapyPhases of clinical researchOncologyGastroenterologySurgeryToxicity

Abstract

fetched live from OpenAlex

6032 Background: Amcasertib (BBI-503) is an oral first-in-class cancer stemness kinase inhibitor. By targeting multiple serine-threonine stemness kinases, amcasertib inhibits Nanog and other cancer stemness pathways. A phase I clinical trial of amcasertib showed safety and signs of anti-cancer activity in patients (pts) with advanced solid tumors during dose-escalation and RP2D expansion, including pts with advanced head & neck cancer. Methods: Pts with advanced, pre-treated head & neck cancers were enrolled. Amcasertib was administered orally, once or twice daily, in continuous 28-day cycles at a starting dose of 10 mg to 300 mg total daily. Adverse events were categorized according to CTCAE v4.03 and tumor imaging was evaluated per RECIST 1.1 guidelines every 8 weeks. Results: A total of 21 pts were enrolled, 15 with HNSCC and 6 with salivary or parotid gland cancers. Prior treatments included radiation in 90% (19/21), surgery in 71% (15/21) and prior systemic therapy in 90% (19/21, average 3 prior lines, range 1 to 6). Amcasertib was well tolerated with 43% of pts treated at 300 mg daily (n = 9), 33% at 150 mg BID (n = 7), 19% at 200 mg daily (n = 4), and 5% at 10 mg daily (n = 1). Grade 3 AE included diarrhea (n = 4) and nausea (n = 1). Among all patients who received an evaluation per RECIST (n = 16), the objective responses rate (ORR, proportion with partial response [PR] or complete response [CR] per RECIST) was 13% and the disease control rate (DCR, proportion with stable disease [SD] at 8 weeks, PR or CR) was 50%. At 12 months, in the intent-to-treat population (n = 21) 38% of pts were alive. Median overall survival (mOS) of 7.2 months. Conclusions: Clinical safety and encouraging signs of anti-cancer activity were observed in pts with advanced head and neck cancers who have received treatment with amcasertib. Objective response, prolonged disease control, and extended survival have been observed in this pre-treated population with a poor prognosis. Further clinical evaluation of amcasertib in patients with head and neck cancers is warranted. Clinical trial information: NCT01781455.

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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.102
GPT teacher head0.520
Teacher spread0.418 · 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".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

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