MétaCan
Menu
← Back to cohort

A phase II study of durvalumab re-treatment +/- prednisone in patients who discontinued prior checkpoint therapy due to immune related toxicity (CCTG IND.238A).

2023· article· en· W4379283505 on OpenAlexafffundabout
Peter Ellis, Sara Taylor, Penelope Ann Bradbury, John R. Goffin, Rosalyn A. Juergens, Scott A. Laurie, Geoffrey Liu, Jennifer L. Spratlin, Nicole G. Chau, Danielle Charpentier, Courtney H. Coschi, Joana Sederias, Siwei Zhang, Dongsheng Tu, Lesley Seymour, Pierre-Olivier Gaudreau

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsCentre Hospitalier de l’Université de MontréalQueen's UniversityMcMaster UniversityBC Cancer AgencyPrincess Margaret Cancer CentreOttawa HospitalUniversity Health NetworkJuravinski Cancer Centre
FundersAstraZeneca Canada
KeywordsDurvalumabMedicineTolerabilityDiscontinuationAdverse effectInternal medicineOncologyTremelimumabPrednisoneLeukocytopeniaToxicityCancerSurgeryNivolumabImmunotherapyIpilimumab

Abstract

fetched live from OpenAlex

TPS2673 Background: Up to 18% of patients permanently discontinue immune checkpoint blockade (ICB) therapy following G3/G4 immune-related adverse events (irAEs) even if reversible / easily managed with replacement therapy or steroids. Safety concerns exist with ICB re-treatment. Given the potential benefit of ICB and evidence that patients with irAEs may exhibit greater efficacy, there is interest in ICB rechallenge following successful management of G3/G4 irAEs in patients who have had benefit, and trials to prospectively investigate ways to prevent irAE recurrence are needed. Durvalumab is a human monoclonal antibody of IgG1κ subclass that binds to PD-L1. Canadian Cancer Trials Group (CCTG) IND.238A is a phase 2, open label, multicentre study of durvalumab +/- prednisone rechallenge in patients who were benefitting from prior ICB but discontinued due to irAEs. Methods: Eligible patients have received prior anti-PD-(L)1 ICB alone or in combination with anti-CTLA-4 ICB, with or without chemotherapy/targeted therapy, and experienced either: 1) G3 or selected G4 irAEs (i.e. endocrinopathies manageable with replacement therapy; hematologic toxicity) that required drug discontinuation; 2) prolonged G2 irAEs where therapy was discontinued due to poor tolerability. Prior irAE must have resolved to ≤G1, patients must have completed steroid therapy and have documented RECIST 1.1 CR, PR, or prolonged SD (≥8 weeks) to initial ICB. Patients with prior (neo)adjuvant/consolidation ICB are eligible provided there has been ≥6-month treatment free interval before enrollment. Based on prior irAE, patients are allocated into either: 1) the High Risk cohort, receiving durvalumab (1500mg IV Q4W in all cohorts) + prednisone 0.5mg/kg/day for C1-2, or; 2) the Standard Risk cohort, where they are randomized to receive either durvalumab + prednisone 10mg/day for C1-2 (Cohort 2A) or durvalumab alone (Cohort 2B). Three to 6 patients are enrolled into each cohort initially, then each cohort expands up to a total of 60 evaluable patients (20 per cohort). Safety review takes place following enrollment of the 1st, 3rd, 6th and 10th patient in each cohort. Safety review occurs 4 weeks after the 1st patient treated on each cohort and subsequently once the last patient has been followed for at least 4 weeks. The primary endpoint is the incidence of treatment-related AEs (CTCAE v5.0), estimated as percentages of patients with each AE (90% exact CI will be calculated). Secondary objectives are ORR (RECIST 1.1 and iRECIST) and efficacy of corticosteroids in preventing recurrent or new ≥G2 irAEs (90% exact CI will be calculated). Exploratory endpoints include PFS / iPFS by Kaplan-Meier method, exploration of blood- and stool-based irAE biomarkers and PD-L1 expression. As of January 30, 2023, 12 of planned 60 patients have been enrolled. Clinical trial information: NCT03847649 .

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
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)0.0050.001

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 head0.101
GPT teacher head0.464
Teacher spread0.363 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicCancer Immunotherapy and Biomarkers→French-language works237,207→