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Record W2898236034 · doi:10.1093/annonc/mdy292.130

Randomized phase II trial of osimertinib with or without local consolidation therapy (LCT) for patients with EGFR-mutant metastatic NSCLC (NORTHSTAR)

2018· article· en· W2898236034 on OpenAlexaff
Yasir Y. Elamin, Mara B. Antonoff, C. Blakely, M. Baggstorm, Trever G. Bivona, Xiuning Le, Alexander V. Louie, Robert C. Doebele, Chad G. Rusthoven, P. Lee, Ramaswamy Govindan, Stephen G. Swisher, Vassiliki A. Papadimitrakopoulou, John V. Heymach, D.R. Gomez

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsOsimertinibMedicineGefitinibT790MOncologyInternal medicineErlotinibRandomized controlled trialProgression-free survivalLung cancerEpidermal growth factor receptorChemotherapyCancer

Abstract

fetched live from OpenAlex

Background: Osimertinib has been shown to be superior to erlotinib or gefitinib in previously untreated patients with EGFR mutant (exon 19 deletion/L858R) NSCLC. Osimertinib is approved for the treatment of patients with metastatic T790M+ NSCLC who have disease progression after EGFR-TKI therapy. The majority of EGFR mutant NSCLC patients who are treated with a TKI ultimately acquire resistance, including those treated with osimertinib. We have recently completed a phase 2 randomized clinical trial demonstrating that patients with oligometastatic NSCLC treated with aggressive local consolidation therapy (surgery or radiation) have improved progression-free survival compared to those patients treated with systemic therapy alone (Gomez et al., Lancet Oncol, 2016). A retrospective review of EGFR-mutant subset of patients enrolled in the trial suggests that EGFR-mutant patients may derive greater benefit from this approach. Thus, two premises underlie the current randomized trial: 1) osimertinib is standard of care for treatment of primary and TKI resistant EGFR-mutant metastatic NSCLC, and 2) the majority of patients treated with osimertinib ultimately become resistant, and LCT has been found to improve outcomes compared to systemic therapy alone. Trial design: A phase 2 randomized, multicenter, study to evaluate the efficacy of osimertinib with or without LCT for patients with EGFR-mutant metastatic NSCLC. Eligible patients include 1) Previously untreated patients with EGFR-mutant NSCLC (L858R or exon 19 deletion) or 2) NSCLC patients with acquired EGFR T790M that was acquired following progression on first or second generation TKI, this subset of patients must have not received prior third generation TKI. Patients who don’t have disease progression after 6-12 weeks of induction osimertinib will be randomized 1:1 to osimertinib continuation or to osimertinib continuation with LCT Primary end point is progression free survival Exploratory biomarkers associated with resistance to osimertinib will be evaluated in tumor tissue and plasma collected at baseline and progression. 140 patients will be enrolled in 5 centers in North America. Clinical trial identification: NCT03410043. Legal entity responsible for the study: UT MD Anderson Cancer Center. Funding: National Comprehensive Cancer Network NCCN, AZ grant. Disclosure: All authors have declared no conflicts of interest.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.002

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 head0.072
GPT teacher head0.450
Teacher spread0.378 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations14
Published2018
Admission routes1
Has abstractyes

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