MétaCan
Menu
Back to cohort

IND.241: A Canadian Cancer Trials Group liquid-biopsy informed platform trial to evaluate treatment in CDK4/6-inhibitor resistant ER+/HER2- metastatic breast.

2025· article· en· W4410805181 on OpenAlexaffabout
David W. Cescon, Moira Rushton, Nathalie LeVasseur, Michelle B. Nadler, Daniel Rayson, Brooke E. Wilson, Sara Taylor, Rossanna C. Pezo, Arif Awan, Vikaash Kumar, J. Melvin, John Hilton, Stephen Chia, Philippe L. Bédard, Spencer Finn, Wei Tu, Courtney H. Coschi, Philippe Jamme, Elia Aguado-Fraile, Lesley Seymour

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsMcMaster UniversityQueen's UniversityUniversity Health NetworkOttawa HospitalHealth Sciences CentreSunnybrook Health Science CentreKingston Health Sciences CentreQueen Elizabeth II Health Sciences CentrePrincess Margaret Cancer CentreBC Cancer AgencyUniversity of TorontoDalhousie University
Fundersnot available
KeywordsMedicineMetastatic breast cancerBreast cancerOncologyBiopsyCancerInternal medicineClinical trialGynecology

Abstract

fetched live from OpenAlex

TPS1121 Background: The combination of a CDK4/6 inhibitor + endocrine therapy (CDK4/6i+ET) is standard first-line systemic treatment for patients with ER+/HER2-negative metastatic breast cancer (MBC). Beyond this initial therapy, there are numerous therapeutic agents available/ in development for subsequent lines of treatment. Circulating tumor DNA (ctDNA) via liquid biopsy is a promising, non-invasive approach for blood-based tumor genotyping, patient stratification and response assessment with the potential to enhance biomarker-driven strategies and aid in development of new therapeutics. Methods: IND.241 is a master protocol platform design consisting of independent substudies monitoring patients with ER+/HER2- MBC prior to progression (PD) on CDK4/6i+ET and investigating novel agents or drug combinations in 2 nd /3 rd lines after progression on CDK4/6i+ET. The primary objective of the novel drug/combination substudies is to centrally interrogate ctDNA (Tempus xF+, a 523-gene liquid biopsy panel) and evaluate whether biomarker selection improves ORR or CBR as assessed by RECIST 1.1. Secondary objectives include safety and toxicity profile for each drug/combination, PFS, and OS. The monitoring substudy (Substudy A) enrolls patients currently on CDK4/6i+ET treatment and aims to characterize the molecular profile, clinical features, and ctDNA dynamics of acquired resistance. This platform trial enables creation and maintenance of a tissue and data bank including clinical data, genomics, and radiomics from all substudies to evaluate surrogates of treatment outcomes and potential biomarkers of response, resistance, and disease progression. Patients with specific biomarkers detected in ctDNA will be enrolled into corresponding biomarker positive cohorts of substudies. Patients with no substudy-specific biomarkers are randomized to biomarker negative cohorts of available substudies. Treatment substudies follow a 2-stage design. Currently, the monitoring substudy A is actively accruing. Substudy B is evaluating lunresertib (PKMYT1 inhibitor) + gemcitabine in patients +/-CCNE1 overexpression / amplification. Substudy C is evaluating niraparib (PARP inhibitor) + fulvestrant (ET) in patients +/- alterations in BRCA1/2 (germline/somatic) or PALB2 (germline). These latter two substudies have now closed to accrual, with efficacy and safety evaluation ongoing. Substudy D, which has recently been added, is evaluating lunresertib + camonsertib (ATR inhibitor) in patients +/- CCNE1 overexpression/amplification, FBXW7 or PPP2R1A alterations. Additional substudies are in development for inclusion in this platform trial. Clinical trial information: NCT05601440 .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.204
GPT teacher head0.536
Teacher spread0.332 · 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 teacher head, not a consensus.

Study designRandomized 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicAdvanced Breast Cancer TherapiesFrench-language works237,207