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Neratinib + capecitabine versus lapatinib + capecitabine in patients with HER2+ metastatic breast cancer previously treated with ≥ 2 HER2-directed regimens: Findings from the multinational, randomized, phase III NALA trial.

2019· article· en· W2947217282 on OpenAlexaff
Cristina Saura, Mafalda Oliveira, Yin‐Hsun Feng, Ming‐Shen Dai, Sara A. Hurvitz, Sung‐Bae Kim, Beverly Moy, Suzette Delaloge, William J. Gradishar, Norikazu Masuda, Markéta Palácová, Maureen Trudeau, Johanna Mattson, Yoon Sim Yap, Richard Bryce, Bin Yao, Judith D. Bebchuk, Kiana Keyvanjah, Adam Brufsky

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsCapecitabineMedicineLapatinibInternal medicineNeratinibMetastatic breast cancerGastroenterologyClinical endpointRandomized controlled trialBreast cancerOncologyCancerTrastuzumabColorectal cancer

Abstract

fetched live from OpenAlex

1002 Background: NALA (ClinicalTrials.gov NCT01808573) is a multinational, randomized, open-label, phase III trial of neratinib (an irreversible pan-HER tyrosine kinase inhibitor [TKI]) + capecitabine (N+C) vs lapatinib (a reversible dual TKI) + capecitabine (L+C) in patients with stage IV HER2+ metastatic breast cancer (MBC) who had received ≥2 prior HER2-directed regimens for MBC. Methods: Patients were randomized 1:1 to N (240 mg qd po) + C (750 mg/m 2 bid po) or L (1250 mg qd po) + C (1000 mg/m 2 bid po). Co-primary endpoints were centrally assessed progression-free survival (PFS) and overall survival (OS). Secondary endpoints were investigator-assessed PFS; objective response rate (ORR); duration of response (DoR); clinical benefit rate (CBR); time to intervention for symptomatic metastatic central nervous system (CNS) disease; safety; and patient-reported health outcomes. Results: 621 patients were randomized (307 to N+C; 314 to L+C). The risk of disease progression or death was reduced by 24% with N+C vs L+C (HR = 0.76; 95% CI 0.63–0.93; p = 0.006); 6- and 12-month PFS rates were 47.2% vs 37.8% and 28.8% vs 14.8% for N+C vs L+C, respectively. OS rates at 6 and 12 months were 90.2% vs 87.5% and 72.5% vs 66.7% for N+C vs L+C, respectively (HR = 0.88; 95% CI 0.72–1.07; p = 0.2086). ORR in patients with measurable disease at screening was improved with N+C vs L+C (32.8% vs 26.7%; p = 0.1201), as was CBR (44.5% vs 35.6%; p = 0.0328) and DoR (HR = 0.50; 95% CI 0.33–0.74; p = 0.0004). Time to intervention for symptomatic CNS disease (overall cumulative incidence 22.8% vs 29.2%; p = 0.043) was delayed with N+C vs L+C. Treatment-emergent adverse events (TEAEs) were similar between arms, but there was a higher rate of grade 3 diarrhea with N+C vs L+C (24.4% vs 12.5%). TEAEs leading to neratinib/lapatinib discontinuation were lower with neratinib (10.9%) than with lapatinib (14.5%). Conclusions: N+C significantly improved PFS with a trend towards improved OS vs L+C. N+C also resulted in a delayed time to intervention for symptomatic CNS disease. Tolerability was similar between the two arms, with no new safety signals observed. Clinical trial information: NCT01808573.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.021
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.417
Teacher spread0.364 · 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

Citations100
Published2019
Admission routes1
Has abstractyes

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