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Abstract CT239: IND.241: A Canadian cancer trials group liquid-biopsy informed platform trial to evaluate treatment in CDK4/6-inhibitor resistant ER+/HER2- metastatic breast cancer

2025· article· en· W4409821785 on OpenAlexaffabout
Moira Rushton, Dave W. Cescon, Nathalie LeVasseur, Michelle B. Nadler, Daniel Rayson, Brooke E. Wilson, Sara Taylor, Rossanna C. Pezo, Arif Awan, Zahi Mitri, Vikaash Kumar, Jennifer Melvin, John Hilton, Stephen Chia, Philippe L. Bédard, Spencer Finn, Wei Tu, Courtney H. Coschi, Philippe Jamme, Elia Aguado-Fraile, Lesley Seymour, Laura Pearce

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsSociety for Arts and TechnologyHamilton Health SciencesQueen's UniversityJuravinski Cancer CentreSunnybrook Health Science CentreOttawa HospitalPrincess Margaret Cancer CentreInterior HealthQueen Elizabeth II Health Sciences CentreKingston Health Sciences Centre
Fundersnot available
KeywordsMedicineMetastatic breast cancerCancerOncologyBreast cancerInternal medicineClinical trialRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Introduction: The combination of CDK4/6 inhibitor+endocrine therapy (CDK4/6i+ET) is standard 1st-line (1L) systemic treatment for patients with ER+/HER2-negative metastatic breast cancer (MBC). Numerous agents are available / in development for subsequent lines of treatment. Circulating tumor DNA (ctDNA) via liquid biopsy presents 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. Experimental Procedures: 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 2nd/3rd lines (2L, 3L) 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 (RECIST 1.1). Secondary objectives include safety and toxicity profile, PFS, and OS. The monitoring substudy (Substudy A) enrolls patients currently on CDK4/6i+ET treatment and aims to characterize 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 to evaluate surrogates of treatment outcomes and potential biomarkers of response, resistance, and disease progression. Results: Patients with specific biomarkers detected in ctDNA will be enrolled to 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, recently added, is evaluating lunresertib + camonsertib (ATR inhibitor) in patients +/- CCNE1 overexpression/amplification, FBXW7 or PPP2R1A alterations. Additional substudies are in development for this platform trial. Conclusions: IND.241 employs a biomarker-driven platform trial designed to evaluate CDK4/6i resistant ER+/HER2- MBC, using non-invasive ctDNA tumor genotyping to select patients for biomarker-driven substudies with the goal of defining the ctDNA landscape across 1L to 3L treatments. Citation Format: Moira Rushton, Dave W. Cescon, Nathalie Levasseur, Michelle B. Nadler, Daniel Rayson, Brooke E. Wilson, Sara K. Taylor, Rossanna Pezo, Arif Awan, Zahi Mitri, Vikaash Kumar, Jennifer Melvin, John Hilton, Stephen Chia, Philippe L. Bedard, Spencer Finn, Wei Tu, Courtney Coschi, Philippe Jamme, Elia Aguado-Fraile, Lesley Katie Seymour, Laura Pearce. IND.241: A Canadian cancer trials group liquid-biopsy informed platform trial to evaluate treatment in CDK4/6-inhibitor resistant ER+/HER2- metastatic breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT239.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.161
GPT teacher head0.490
Teacher spread0.329 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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