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Abstract PO2-17-01: Impact of the introduction of CDK4/6 inhibitors on treatment duration in patients with HR+, HER2– advanced breast cancer: Final analysis of TreatER+ight, a Canadian prospective, real-world, observational study

2024· article· en· W4396587707 on OpenAlexaffabout
Catherine Doyle, Ana Elisa Lohmann, Nayyer Iqbal, Jan‐Willem Henning, Swati Kulkarni, Nadia Califaretti, John Hilton, Cristiano Ferrario, Nathaniel Bouganim, Mihaela Mates, Stéphanie Guillemette, Ricardo Leite, Stephen Chia

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsNovartis (Canada)McGill University Health CentreJewish General HospitalBC Cancer AgencyOttawa HospitalWindsor Regional HospitalLondon Health Sciences CentreGrand River HospitalSaskatchewan Cancer Agency
Fundersnot available
KeywordsCancerMedicineBreast cancerOncologyDuration (music)Internal medicineProspective cohort studyArt

Abstract

fetched live from OpenAlex

Abstract Background: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) in combination with endocrine therapy (ET) are the established first-line targeted therapy (TT) for patients with hormone receptor-positive (HR+), human epidermal growth factor receptor-2-negative (HER2–) advanced breast cancer (ABC). TreatER+ight, the first prospective, real-world study evaluating the treatment patterns, safety and effectiveness of ET alone or ET + TT in Canadian patients with HR+, HER2– ABC (2016 to 2020) recorded ET as the standard of care (SOC) in the first interim analysis report. However, treatment with CDK4/6i combined with ET have rapidly evolved as the SOC in the metastatic setting. Methods: This prospective, multicenter, observational study (NCT02753686) enrolled patients with HR+, HER2‒ ABC with or without prior exposure to ET and up to one line of prior CT in the advanced setting. The patients were enrolled by the line of their therapy (first-line, second-line or third-line) and grouped into 2 cohorts (ET and ET + TT). Duration of therapy, and overall survival (OS) are estimated using Kaplan–Meier method. Here, we report the final outcome with CDK4/6i treatment evolution with sequencing strategy and duration in routine clinical practice. Results: At data cutoff (December 1, 2022), a total of 439 enrolled patients (ET, n=104; ET + TT, n=335) from 25 centers in Canada, constituted the full analysis set. The median age (range) was 71.5 (37.0–96.0) years in ET cohort and 65.0 (23.0-87.0) years in ET + TT cohort. About 84.6% and 66.4% were postmenopausal patients in the ET and ET + TT cohorts, respectively. Patients with ECOG PS scores 0 to 1 composed of 82.0% and 93.5% in the ET and ET + TT cohorts, respectively. In the overall population, ET alone and ET + CDK4/6i were the most common treatment received by patients in first-line (43.5% and 43.3%) and second-line (36.3% and 24.6%) treatment settings. In third-line treatment setting, CT was the most common treatment received by patients (38.4%). Conclusions: Data from final analysis of TreatER+ight have further confirmed the evolution to primary use of CDK4/6i-based combination therapy in the first-line setting for Canadian patients with HR+, HER2– ABC. Additional details on duration of therapy by CDK4/6i agents, overall survival data and age subgroup analysis will be presented at SABCS 2023 Table 1_Baseline characteristics, treatment patterns, and duration of treatment Citation Format: Catherine Doyle, Ana Elisa Lohmann, Nayyer Iqbal, Jan-Willem Henning, Swati Kulkarni, Nadia Califaretti, John Hilton, Cristiano Ferrario, Nathaniel Bouganim, Mihaela Mates, Stephanie Guillemette, Ricardo Leite, Stephen Chia. Impact of the introduction of CDK4/6 inhibitors on treatment duration in patients with HR+, HER2– advanced breast cancer: Final analysis of TreatER+ight, a Canadian prospective, real-world, observational study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-17-01.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.411
Teacher spread0.350 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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