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Record W4414508430 · doi:10.1001/jamaoncol.2025.3700

Ribociclib Plus Endocrine Therapy in Hormone Receptor–Positive/ <i>ERBB2</i> -Negative Early Breast Cancer

2025· article· en· W4414508430 on OpenAlexafffund
Peter A. Fasching, Daniil Stroyakovskiy, DA Yardley, Chiun‐Sheng Huang, John Crown, Aditya Bardia, Stephen Chia, Seock‐Ah Im, Miguel Martín, Sherene Loi, Carlos H. Barrios, Michael Untch, Rebecca Moroose, F. Visco, Gabriel N. Hortobágyi, Dennis J. Slamon, Rodrigo Fresco, Juan Pablo Zarate, Zheng Li, Sorcha Waters, Sara A. Hurvitz

Bibliographic record

VenueJAMA Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsBC Cancer Agency
FundersBC Cancer AgencyCollege of Medicine, Seoul National UniversityUniversity of California, Los AngelesInstituto de Investigación Sanitaria Gregorio MarañónPeter MacCallum Cancer CentreChinese Academy of Medical SciencesSeoul National University HospitalUniversidad Complutense de MadridSeoul National UniversityPeking Union Medical CollegeUniversity of WashingtonUniversity of Texas MD Anderson Cancer CenterNovartis Pharmaceuticals CorporationCancer Research Institute
KeywordsEndocrine systemBreast cancerHormone receptorCancerHormone therapyHormone

Abstract

fetched live from OpenAlex

Importance: Ribociclib plus a nonsteroidal aromatase inhibitor (NSAI) has demonstrated a statistically significant invasive disease-free survival (iDFS) benefit over NSAI alone in patients with hormone receptor-positive/ERBB2 (formerly HER2)-negative early breast cancer. Evaluating the efficacy and safety of adjuvant ribociclib beyond the planned 3-year treatment period is critical for understanding the long-term impact on recurrences. Objective: To evaluate efficacy and safety of adjuvant ribociclib in an exploratory 4-year analysis of the NATALEE (New Adjuvant Trial With Ribociclib [LEE011]) randomized clinical trial, with all patients no longer receiving ribociclib treatment. Design, Setting, and Participants: This exploratory analysis of an international, open-label, randomized phase 3 trial analyzed adjuvant treatment for premenopausal and postmenopausal women and men with hormone receptor-positive/ERBB2-negative early breast cancer. Eligible patients had anatomic stage IIA (either N0 with additional risk factors or N1 [1-3 axillary lymph nodes]), IIB, or III disease per the American Joint Committee on Cancer Staging Manual, eighth edition. The data cutoff date was April 29, 2024. Interventions: Patients were randomized 1:1 to receive ribociclib (400 mg once daily, days 1-21 of a 28-day cycle, over 36 months) plus NSAI (letrozole, 2.5 mg, or anastrozole, 1 mg, once daily continuously for 60 months) or NSAI alone. Men and premenopausal women also received goserelin (3.6 mg once every 28 days administered subcutaneously). Main Outcomes and Measures: The primary end point was iDFS, and secondary efficacy end points included distant disease-free survival, recurrence-free survival, and overall survival. Survival was evaluated by the Kaplan-Meier method. Results: Among 5101 patients included in the analysis (median [range] age, 52 [24-90] years; 5081 [99.6%] female), the median follow-up for iDFS was 44.2 months (range, 0-63 months). Ribociclib plus NSAI continued to show iDFS benefit over NSAI alone (hazard ratio, 0.72; 95% CI, 0.61-0.84), with 3-year iDFS rates of 90.8% vs 88.1% (difference, 2.7 percentage points) and 4-year rates of 88.5% vs 83.6% (difference, 4.9 percentage points). The efficacy benefit was consistent across subgroups and secondary end points. Overall survival data remain immature, although a trend in favor of ribociclib plus NSAI over NSAI alone was observed (hazard ratio, 0.83; 95% CI, 0.64-1.07). The incidence of adverse events has remained stable. Conclusions and Relevance: This exploratory analysis of the NATALEE randomized clinical trial, with a median follow-up beyond the 3-year treatment duration, demonstrated consistent iDFS benefit with ribociclib plus NSAI over NSAI alone. Trial Registration: ClinicalTrials.gov Identifier: NCT03701334.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.332
Teacher spread0.319 · 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 designOther design
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

Citations17
Published2025
Admission routes2
Has abstractyes

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