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Record W4410958726 · doi:10.1016/j.annonc.2025.04.003

Savolitinib plus osimertinib in epidermal growth factor receptor (EGFR)-mutated advanced non-small cell lung cancer with MET overexpression and/or amplification following disease progression on osimertinib: primary results from the phase II SAVANNAH study

2025· article· en· W4410958726 on OpenAlexaff
Filippo de Marinis, Tae Min Kim, L. Bonanno, S. Cheng, S-W Kim, Marcello Tiseo, Quincy S. Chu, C. Proto, Adrian G. Sacher, Y.-H. Luo, S. Novello, Dapeng Hao, Christina S. Baik, Lyudmila Bazhenova, J.S. Lee, Byoung Chul Cho, J. Cadranel, Tuan Bao Diep, G. Metro, P R Narayanan, Yasuto Yoneshima, Javier de Castro, Clarissa Baldotto, Christa Haugaard Nyhus, J.C.-H. Yang, Lecia V. Sequist, Benjamin Levy, R. Hartmaier, I. Igwegbe, L. Poole, Wei Xu, M-J. Ahn

Bibliographic record

VenueAnnals of Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsUniversity of CalgaryPrincess Margaret Cancer CentreOntario Institute for Cancer ResearchSunnybrook Health Science Centre
FundersGenentechPharmaMarEuropean Society for Medical OncologyAstellas PharmaDaiichi-SankyoGilead SciencesServierPfizerYonsei UniversityRegeneron PharmaceuticalsNateraSeagenSanofiApollomicsInternational Association for the Study of Lung CancerBeiGeneLes Laboratories Pierre FabreF. Hoffmann-La RocheSamsungBristol-Myers SquibbOno PharmaceuticalEli Lilly and CompanyAstraZenecaAmerican Society of Clinical OncologyYuhanAmgenCelgene
KeywordsOsimertinibMedicineEpidermal growth factor receptorCancer researchLung cancerOncologyInternal medicineReceptorErlotinib

Abstract

fetched live from OpenAlex

BACKGROUND: MET-based resistance following osimertinib treatment for epidermal growth factor receptor (EGFR)-mutated advanced non-small cell lung cancer (NSCLC) is common. We report the primary analysis of the phase II SAVANNAH study (NCT03778229) evaluating savolitinib plus osimertinib in this setting. PATIENTS AND METHODS: Patients had EGFR-mutated, advanced NSCLC with MET overexpression and/or amplification. MET cut-offs were initially MET immunohistochemistry (IHC)3+/≥50% (3+ intensity in ≥50% of tumor cells) and/or FISH5+ (≥5 MET gene copies or MET/chromosome 7 centromere ratio ≥2), and increased to MET IHC3+/≥90% and/or FISH10+ after a preliminary analysis. Patients received oral savolitinib [300 mg twice daily (b.i.d.) or once daily (o.d.), or 600 mg o.d.] plus osimertinib 80 mg o.d., or savolitinib 300 mg b.i.d. plus placebo. A primary endpoint was investigator-assessed objective response rate (ORR) in patients with progression on first-line osimertinib and MET IHC3+/≥90% and/or FISH10+ status receiving savolitinib 300 mg b.i.d. plus osimertinib (primary efficacy population). Safety was analyzed in all patients receiving savolitinib plus osimertinib. RESULTS: Of the 365 patients treated, 341 received savolitinib plus osimertinib, with 80 of these included in the primary efficacy population. Investigator-assessed confirmed ORR in the primary efficacy population was 56.3% [95% confidence interval (CI) 44.7% to 67.3%]; the median duration of response (mDoR) was 7.1 months (95% CI 5.6-9.6 months); the median progression-free survival (PFS) was 7.4 months (95% CI 5.5-7.6 months). Blinded independent central review was consistent: confirmed ORR 55.0% (95% CI 43.5% to 66.2%); mDoR 9.9 months (95% CI 6.0-13.7 months); median PFS 7.5 months (95% CI 6.4-11.3 months). The most common any grade adverse events in patients receiving savolitinib plus osimertinib were peripheral edema (46.0%), nausea (40.5%), and diarrhea (23.2%). CONCLUSIONS: Savolitinib 300 mg b.i.d. plus osimertinib demonstrated high, clinically meaningful and durable responses in patients with EGFR-mutated, advanced NSCLC with MET IHC3+/≥90% and/or FISH10+ status following progression on first-line osimertinib. The combination was well tolerated and may provide a new oral targeted treatment approach in this setting.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.424
Teacher spread0.379 · 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 designNon-randomized 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

Citations33
Published2025
Admission routes1
Has abstractno

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