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A phase I study of SRA737 (formerly known as CCT245737) administered orally in patients with advanced cancer.

2017· article· en· W2746534274 on OpenAlexaff
Maxime Chénard-Poirier, Alvaro Ingles Garces, Robert H. Jones, Amy Quinton, Elizabeth Ruth Plummer, Yvette Drew, Mark Kowalski, Barbara Klencke, Udai Banerji

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineCancerOncologyInternal medicineCisplatinChemotherapyPharmacology

Abstract

fetched live from OpenAlex

TPS2607 Background: SRA737 is a highly selective, orally bioavailable small molecule inhibitor of Checkpoint kinase 1 (Chk1), a key cell cycle checkpoint and central regulator of the DNA Damage Response (DDR) network. In cancer cells, replication stress induced by genomic alterations in oncogenes (eg, MYC and RAS) combined with loss of function in tumor suppressors (eg, TP53 and ATM) results in persistent DNA damage and genomic instability. Targeted inhibition of components of the DDR network such as Chk1 by SRA737 may be synthetically lethal to cancer cells and have utility as a monotherapy in a range of tumor indications. SRA737 is currently being investigated in two Phase 1 trials in patients with advanced cancer. We now describe the Phase 1 multicenter, dose-escalation, monotherapy study of SRA737 (NCT02797964). Methods: Up to 40 patients with advanced cancer will receive oral SRA737 administered daily on a 28-day schedule. For dose-escalation, an accelerated titration design with 100% dose escalation and single patient cohorts is allowed until Grade 2 related toxicity is observed, followed by a rolling-6 design. Dose expansion will include 6 patients with any solid tumor treated at the recommended Phase 2 dose (RP2D). Eligibility criteria include WHO performance status of 0-1 and ≤ 3 prior lines of cytotoxic chemotherapy for metastatic disease. Primary objectives are to assess the safety profile of monotherapy SRA737 and to establish a RP2D. The PK profile and PD biomarkers will be investigated. The study was opened to enrollment in mid-2016. An amendment, which includes the addition of indication specific expansion cohorts of subjects with genetically-defined tumors known to have Chk1-sensitizing aberrations such as gene mutations and amplifications/deletions, has been submitted and is pending regulatory review while enrollment continues. At the Annual Meeting, the amended design will be described. The dose and schedule identified in this trial will inform the design and conduct of Phase 2 studies of SRA737 as a single agent and in combination with other targeted or immunomodulatory agents. Clinical trial information: NCT02797964.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Non-randomized triallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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 score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.060
GPT teacher head0.471
Teacher spread0.412 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNon-randomized trial · Other design
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

Citations1
Published2017
Admission routes1
Has abstractyes

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