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A biomarker-directed, multi-center phase II/III study of ctDNA molecular response adaptive immuno-chemotherapy in patients with non-small cell lung cancer.

2024· article· en· W4399579773 on OpenAlexaff
Valsamo Anagnostou, Sara Moore, Cheryl Ho, Garth Nicholas, Rosalyn A. Juergens, Adrian G. Sacher, Andrea S. Fung, Paul Wheatley‐Price, Scott A. Laurie, Benjamin Levy, Julie R. Brahmer, Egor Avrutin, Liting Zhu, Mark Sausen, Penelope Ann Bradbury, Jill O’Donnell-Tormey, Pierre-Olivier Gaudreau, Keyue Ding, Janet Dancey

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsPrincess Margaret Cancer CentreMcMaster UniversityQueen's UniversityUniversity Health NetworkOttawa Hospital
FundersMark Foundation For Cancer Research
KeywordsMedicineBiomarkerLung cancerChemotherapyOncologyCancerInternal medicineCancer researchGeneticsBiology

Abstract

fetched live from OpenAlex

TPS8669 Background: Liquid biopsy analyses of circulating cell-free tumor DNA (ctDNA) have shown promise as an early endpoint of immunotherapy response, allowing patients with primary resistance to be rapidly and accurately identified. BR.36 is a ctDNA-directed, phase II/III trial of molecular response-adaptive immuno-chemotherapy; in the first of two independent stages, the BR.36 trial met its primary endpoint, with a sensitivity of ctDNA response for radiographic RECIST response of 82% and a specificity of 75%, while demonstrating a median time to ctDNA response of 2.1 months. Additionally, patients with ctDNA molecular response attained longer progression-free (PFS) and overall survival (OS). Methods: The second stage of BR.36 is a multi-center, biomarker-directed, phase II/III clinical trial of ctDNA molecular response adaptive immuno-chemotherapy in patients with immunotherapy and chemotherapy-naïve metastatic NSCLC. The main objective is to evaluate if adding chemotherapy to pembrolizumab for patients who have persistent ctDNA on liquid biopsy drawn after 6 weeks of treatment will result in better PFS and OS compared to patients who remain on pembrolizumab until clinical progression. Key eligibility criteria include: age ≥18 years, ECOG performance status 0-2, metastatic NSCLC, EGFR and ALK mutation negative and PD-L1 Tumor Proportion Score (TPS) ≥ 50%, at least and not more than 2 cycles of the 200 mg or 2 mg/kg IV Q3W of pembrolizumab as first line systemic immunotherapy at the time of screening and RECIST non-PD or clinically stable PD documented prior to enrolment that can continue on immunotherapy. The phase II primary endpoint is PFS and has secondary endpoints of feasibility, overall response rate and safety/tolerability. Sex, RECIST response and ECOG status represent stratification criteria. With 110 randomized patients evaluable for progression (55 patients per arm and 71 PFS events observed in this phase), we would be able to detect a hazard ratio difference of 0.67 with a 1-sided alpha of 0.2 and power of 0.80 using a phase II screening design. The trial will not stop accrual for the phase II analysis of PFS if feasibility endpoints are achieved. In the phase III portion, a total of 210 randomized patients recruited over 3 years and followed for an additional 24 months are required to detect an OS hazard ratio difference of 0.67 with 1-sided alpha of 0.05 and power of 0.8. The total number of events for the final analysis is 156, and assuming 10% of patients are lost to follow-up, we are targeting 230 patients to be included overall. The primary endpoint of the phase III portion is OS, with secondary endpoints of best overall response, response duration, PFS and safety/tolerability. Exploratory endpoints include longitudinal ctDNA analyses. The BR.36 clinical trial is open to enrollment (ClinicalTrials.gov ID: NCT04093167). Clinical trial information: NCT04093167 .

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)0.004
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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.002

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 head0.033
GPT teacher head0.396
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
Published2024
Admission routes1
Has abstractyes

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