Phase I Study of BI 853520, an Inhibitor of Focal Adhesion Kinase, in Patients with Advanced or Metastatic Nonhematologic Malignancies
Bibliographic record
Abstract
BACKGROUND: Overexpression/activation of focal adhesion kinase (FAK) in human malignancies has led to its evaluation as a therapeutic target. We report the first-in-human phase I study of BI 853520, a novel, potent, highly selective FAK inhibitor. OBJECTIVE: Our objectives were to identify the maximum tolerated dose (MTD), and to evaluate safety, pharmacokinetics (PK), pharmacodynamics (PD), biomarker expression, and preliminary activity. PATIENTS AND METHODS: The study comprised a standard 3 + 3 dose-escalation phase followed by an expansion phase in patients with selected advanced, nonhematologic malignancies. RESULTS: Thirty-three patients received BI 853520 in the dose-escalation phase; the MTD was 200 mg once daily (QD). Dose-limiting toxicities included proteinuria and fatigue, both of which were grade 3. Preliminary PK data supported QD dosing. In the expansion cohort, 63 patients received BI 853520 200 mg QD. Drug-related adverse events (AEs) in > 10% of patients included proteinuria (57%), nausea (57%), fatigue (51%), diarrhea (48%), vomiting (40%), decreased appetite (19%), and peripheral edema (16%). Most AEs were grade 1-2; grade 3 proteinuria, reported in 13 patients (21%), was generally reversible upon treatment interruption. Nineteen patients underwent dose reduction due to AEs, and three drug-related serious AEs were reported, none of which were fatal. Preliminary PD analysis indicated target engagement. Of 63 patients, 49 were evaluable; 17 (27%) achieved a best response of stable disease (4 with 150 + days), and 32 (51%) patients had progressive disease. CONCLUSIONS: BI 853520 has a manageable and acceptable safety profile, favorable PK, and modest antitumor activity at an MTD of 200 mg QD in patients with selected advanced nonhematologic malignancies. CLINICALTRIALS. GOV IDENTIFIER: NCT01335269.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".