MétaCan
Menu
Back to cohort

Phase II, single-arm, open-label study of dostarlimab monotherapy in previously untreated patients with stage II/III dMMR/MSI-H locally advanced rectal cancer.

2023· article· en· W4379336686 on OpenAlexaff
Andrea Cercek, Jean‐Baptiste Bachet, Jaume Capdevila, Naureen Starling, Eric Xueyu Chen, Maria Di Bartolomeo, Takayuki Yoshino, Gordana Vlahovic, Eleftherios Zografos, Sean O'donnell, Zsolt Szíjgyártó, Volker Heinemann

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineColorectal cancerInternal medicineClinical endpointOncologyMicrosatellite instabilityCancerPopulationAdverse effectPhases of clinical researchChemoradiotherapyClinical trialStage (stratigraphy)Surgery

Abstract

fetched live from OpenAlex

TPS3639 Background: For patients (pts) with locally advanced rectal cancer (RC), organ-sparing non-operative management (NOM) following a clinical complete response (cCR) to treatment avoids the potential complications and quality of life impact associated with surgery/chemoradiotherapy. Although neoadjuvant chemotherapy is standard treatment, pts with mismatch repair deficient (dMMR) tumors respond poorly. Efficacy of the programmed death (PD)-1 inhibitor dostarlimab in previously untreated pts with locally advanced dMMR RC was evaluated in a Phase II study. All 12 pts who completed 6 months of treatment had clinical complete response (cCR) and received NOM, with no Grade ≥3 adverse events reported. Further research with a larger multicenter population/longer follow-up is needed to confirm these findings. AZUR-1 will evaluate the efficacy and safety of dostarlimab in pts with previously untreated locally advanced dMMR/microsatellite instability-high (MSI-H) RC. Methods: AZUR-1 (NCT05723562) is a global, multicenter, single-arm, open-label, Phase II study. ~100 pts will be enrolled across 10 countries. Key eligibility criteria include age ≥18 years, no prior radiation/systemic therapy or surgery for RC, Eastern Cooperative Oncology Group performance status 0–1 and no tumor-caused symptomatic bowel obstruction. Pts must have a tumor with dMMR status or MSI-H phenotype, determined locally or by the central reference laboratory. Prescreening is available at sites without local dMMR/MSI-H testing; prescreening is not required if dMMR/MSI-H status has been previously determined. Dostarlimab (500 mg) will be administered intravenously every 3 weeks for ≤9 cycles. The primary endpoint is cCR by independent central review (ICR) at 12 months, defined as achieving and maintaining cCR for 12 months (the 12-month period starts from the first disease assessment after last dose of study intervention that demonstrates cCR by ICR). Secondary endpoints include cCR by ICR at 36 months, 3-year event-free survival (EFS3) by investigator assessment, 5-year disease-specific survival, and 5-year overall survival. Pts with cCR by end of treatment will be assessed (CT/MRI, rectal MRI, endoscopy, rectal primary biopsy) every 4–6 months for recurrent disease for 5 years (NOM). Efficacy and safety will be assessed in all pts who received ≥1 dose of dostarlimab. For a range of plausible observed cCR12 rates (60–95%) in the primary analyses, the planned sample size of 100 pts will provide a Clopper–Pearson exact binomial two-sided 95% confidence interval with lower confidence limit within ~10% of the observed cCR12 rate. No interim analyses are planned. References: [1] Cercek, A et al. NEJM 2022;386:2363–76. Funding: GSK (219369). Editorial support provided by Fishawack Health, funded by GSK. Clinical trial information: NCT05723562 .

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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.144
GPT teacher head0.491
Teacher spread0.348 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicColorectal Cancer Treatments and StudiesFrench-language works237,207