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A phase Ib study of an anti-HER2 inhibitor, lapatinib, in combination with a c-MET and VEGFR inhibitor, foretinib, in HER2-positive metastatic breast cancer (MBC): Results from NCIC CTG IND.198.

2013· article· en· W3010907432 on OpenAlexaff
Stephen Chia, Susan Ellard, Mihaela Mates, Stephen Welch, Catalin Mihalcioiu, Wilson H. Miller, Karen A. Gelmon, Caroline Lohrisch, Vikaash Kumar, Sara Taylor, Linda Hagerman, Elizabeth A. Eisenhauer, Penelope Ann Bradbury

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsCancer Care South EastMcGill UniversityRoyal Victoria HospitalQueen's UniversityCancer Care OntarioInterior HealthBC Cancer Agency
Fundersnot available
KeywordsLapatinibMedicineInternal medicineMetastatic breast cancerTyrosine-kinase inhibitorOncologyPharmacokineticsPhases of clinical researchRegimenBreast cancerResponse Evaluation Criteria in Solid TumorsCancerPharmacologyGastroenterologyToxicityTrastuzumab

Abstract

fetched live from OpenAlex

518 Background: The mechanisms of resistance to targeted anti-HER 2 therapy are unclear. Proposed pathways include MET, VEGF and AXL. Multi-targeted pathway inhibition may delay or prevent acquired resistance to HER2 inhibition. Foretinib, an oral multi-kinase inhibitor of MET and VEGFR2, as well as PDGFRB, AXL, FLT3, TIE-2, RET and RON kinases, has pre-clinical anti-tumor activity in breast tumor models. This phase 1b study sought to establish the associated toxicities, pharmacokinetics (PK) and recommended phase II doses (RP2D) of this combination of oral tyrosine kinases inhibitors in a cohort of HER-2 positive MBC patients. Methods: Women with HER2 positive (determined locally) MBC, PS 0-2, and no limit on number of prior chemotherapies or lines of anti-HER2 therapies were enrolled. A 3+3 dose escalation design was utilized. 4 dose levels were planned with starting doses of foretinib 30 mg and lapatinib 750 mg PO OD (dose level 1) on a q 4 weekly cycle. Correlative studies from primary archival tissue are planned. Results: 19 patients were enrolled, all of whom were evaluable for toxicity assessment and 16 were evaluable for response. Median age was 60 years (34-86), 95% were PS 0-1, 53% were ER- and 95% had at least one prior anti-HER2 based regimen. A median of 2 cycles (range: 1-20) was delivered across 4 dose levels. At the 4th dose level (foretinib 45 mg/lapatinib 1250 mg) dose limiting toxicities were documented in 4/7 patients. These included grade 3 fatigue (2 cases); grade 3 ALT elevation; grade 3 diarrhea and grade 2 joint effusion. There was only one grade 4 non-hematological toxicity (grade 4 vomiting: dose level 1) across all dose levels. One patient discontinued treatment due to toxicity with grade 3 limb edema and grade 3 proteinuria. PK of both drugs from DL1-3 did not appear to demonstrate a significant interaction. The RP2D was declared to be foretinib 45 mg and lapatinib 1000 mg PO OD. The full efficacy data and correlative studies will be presented at the meeting. Conclusions: The combination of foretinib and lapatinib can safely be delivered together, though at lower doses than either agent alone.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.102
GPT teacher head0.498
Teacher spread0.396 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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