FURVENT: Phase 3 trial of furmonertinib vs chemotherapy as first-line treatment for advanced NSCLC with EGFR exon 20 insertion mutations (FURMO-004).
Bibliographic record
Abstract
TPS8668 Background: EGFR exon 20 insertion mutations (ex20ins) occur in approximately 2% of non-small cell lung cancer (NSCLC) and overall account for approximately 9% of all the EGFR mutations in NSCLC (Robichaux et al., 2021). Current first-line standard of care for NSCLC patients with these mutations is platinum-based chemotherapy (NCCN NSCLC, 2023). Furmonertinib is an oral, highly brain penetrant, broadly active mutant-selective EGFR inhibitor that targets EGFR exon 20 insertions and other EGFR mutations (1). Furmonertinib recently obtained FDA Breakthrough Therapy Designation for the first line treatment of patients with advanced NSCLC with EGFR ex20ins based on the data from the FAVOUR study. In FAVOUR, treatment naïve patients with locally advanced or metastatic NSCLC with EGFR ex20ins mutations showed preliminary clinical activity with a confirmed overall response rate (ORR) of 78.6% (n=28) by blinded independent central review (BICR) with a preliminary median DOR of 15.2 months when treated with 240 mg daily [QD] of furmonertinib (2). In previously treated patients both the 240 mg and 160 mg QD dose levels were active with confirmed ORR of 46.2% (n=26) and 38.5% (n=26) respectively and included patients harboring near and far loop mutations. Furmonertinib showed a generally well-tolerated safety profile with expected EGFR-TKI class toxicities. Methods: The FURVENT (FURMO-004) study is a registrational global, phase 3, randomized, multicenter, open-label study. Eligible patients have treatment-naïve, locally advanced or metastatic non-squamous NSCLC with EGFR exon 20 insertion mutations. Key inclusion criteria include documented EGFR ex20ins mutation and measurable disease per RECIST 1.1. Key exclusion criteria include prior systemic anticancer therapy in the locally advanced or metastatic setting or any prior EGFR TKI therapy. Approximately 375 patients will be randomized 1:1:1 to receive furmonertinib 160 mg QD, furmonertinib 240 mg QD, or platinum-based chemotherapy (cisplatin or carboplatin plus pemetrexed for 4 cycles followed by pemetrexed maintenance therapy). Stratification factors include the history or presence of central nervous system metastases at baseline, geographic region, and sex at birth. Patients from the platinum-based chemotherapy arm with documented disease progression can crossover to furmonertinib cohort. The primary endpoint is progression-free survival comparing between the treatment arms (furmonertinib 160 mg or 240 mg vs chemotherapy) based on BICR assessment. The key secondary endpoint is overall survival. Study enrollment is ongoing. 1. Musib et al., NACLC 2022. 2. Han et al., WCLC 2023. Clinical trial information: NCT05607550 .
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".