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Abstract PO1-18-12: Trial in progress: Open-label, randomized, multicenter, phase 3, ELAINE 3 study of the efficacy and safety of lasofoxifene plus abemaciclib for treating locally advanced or ER+/HER2- metastatic breast cancer with an ESR1 mutation

2024· article· en· W4396599098 on OpenAlexaff
Matthew P. Goetz, Seth A. Wander, Thomas Bachelot, Gerald Batist, Javier Cortés, Massimo Cristofanilli, Giuseppe Curigliano, Alexandre de Nonneville, Einav Nili-Gal Yam, Komal Jhaveri, X. Cynthia, Heather A. Parsons, Hope S. Rugo, Sarah Sammons, Daniel G. Stover, Chris Twelves, Aditya Bardia, Paul V. Plourde, David Portman, Senthil Damodaran

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineOpen labelRandomized controlled trialOncologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Patients with estrogen receptor-positive (ER+) metastatic breast cancer (BC) may develop resistance to endocrine therapy (ET), particularly following treatment with a cyclin-dependent kinase 4/6 inhibitor (CDK4/6i), potentially driven by a mutation in the ERa-coding gene, ESR1. Lasofoxifene, an oral, next-generation ET and ER breast antagonist, had potent activity in mBC xenograft models expressing ESR1 mutations, either as a single agent or combined with a CDK4/6i. Subsequently, two phase 2 studies evaluated lasofoxifene in women with ER+/HER2- metastatic BC and an ESR1 mutation who had disease progression on previous ET and CDK4/6i. The ELAINE 1 trial showed numerically greater progression-free survival (PFS, median ~6 vs 4 months; P=0.138), objective response rate (ORR, 13% vs 3%; P=0.124), and clinical benefit rate (CBR, 37% vs 22%; P=0.117) with lasofoxifene monotherapy versus the ER degrader fulvestrant, with a favorable safety profile (Goetz MP, et al. Ann Oncol. 2022;33:S1387). The single-arm, ELAINE 2 trial demonstrated that lasofoxifene combined with abemaciclib was well tolerated with a median PFS of ~13 months, ORR of 56%, and CBR of 66% (Damodaran S, et al. J Clin Oncol. 2023;41:suppl 16; abstr 1057). Based on these data, the phase 3, registrational, ELAINE 3 trial was initiated. Methods: ELAINE 3 (NCT05696626) is an open-label, phase 3, multicenter study evaluating the efficacy, safety, and tolerability of lasofoxifene plus abemaciclib versus fulvestrant plus abemaciclib. Key inclusion criteria are pre- and postmenopausal women and men aged ≥18 years; ER+/HER2-, locally advanced and/or metastatic BC (measurable and/or non-measurable disease); ≥1 acquired ESR1 mutation; progression on an aromatase inhibitor plus palbociclib or ribociclib as their first hormonal treatment for advanced/metastatic BC; and ≤1 line of chemotherapy in the advanced/metastatic setting. Patients will be randomized 1:1 to receive lasofoxifene 5 mg/day plus abemaciclib 150 mg BID, or fulvestrant 500 mg IM on days 1, 15, and 29, then 4 weekly plus abemaciclib 150 mg BID. Treatment will continue until progression, death, unacceptable toxicity, or withdrawal from the study. The primary endpoint is PFS; key secondary endpoints are ORR, overall survival, CBR, duration of response, and time to response. Time to cytotoxic chemotherapy, quality of life, and safety will also be evaluated. Blood samples for circulating tumor DNA (ctDNA) will be collected at screening, at weeks 4 and 8 and every 8 weeks thereafter, and at the final visit for genomic analyses. Outcomes with lasofoxifene/abemaciclib and fulvestrant/abemaciclib will be compared using a stratified Cox proportional hazards model and stratified logrank test. Expected PFS is ≥10.3 months for lasofoxifene/abemaciclib and 7 months for fulvestrant/abemaciclib (PFS hazard ratio of 0.68 at final analysis). The target sample size is 400, to achieve 90% power with a one-sided type I error rate of 0.025 after 285 PFS events. Full recruitment is expected to occur over 18 months at 125 global sites. Citation Format: Matthew Goetz, Seth Wander, Thomas Bachelot, Gerald Batist, Javier Cortés, Massimo Cristofanilli, Giuseppe Curigliano, Alexandre de Nonneville, Einav Nili-Gal Yam, Komal Jhaveri, Cynthia Ma, Heather Parsons, Hope Rugo, Sarah Sammons, Daniel Stover, Chris Twelves, Aditya Bardia, Paul V. Plourde, David J Portman, Senthil Damodaran. Trial in progress: Open-label, randomized, multicenter, phase 3, ELAINE 3 study of the efficacy and safety of lasofoxifene plus abemaciclib for treating locally advanced or ER+/HER2- metastatic breast cancer with an ESR1 mutation [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 PO1-18-12.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.110
GPT teacher head0.499
Teacher spread0.389 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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