Evidence map›Paper›PMID 39853764›Full record

ArticleJournal of clinical pharmacology2025

Pharmacokinetic and Exposure-Response Modeling Support Body Surface Area-Based Dosing of Farletuzumab Ecteribulin in Japanese Patients with Solid Tumors.

Seiichi Hayato, Lora Hamuro, Toshio Shimizu, Kan Yonemori, Shin Nishio, Mayu Yunokawa, Tatsuya Yoshida, Makoto Nishio, Koji Matsumoto, Kazuhiro Takehara and 9 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in Journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Clinical trial of safety and antitumor activity of farletuzumab ecteribulin in patients with platinum-resistant ovarian cancer: Phase I expansion results.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Seiichi HayatoEisai Co. Ltd., Tokyo, Japan.ORCID 0000-0003-2691-2545
Lora HamuroBristol Myers Squibb, Princeton, NJ, USA.
Toshio ShimizuDepartment of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan.
Kan YonemoriDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Shin NishioDepartment of Obstetrics and Gynecology, Kurume University School of Medicine, Fukuoka, Japan.ORCID 0000-0003-2526-630X
Mayu YunokawaDepartment of Gynecologic Oncology, Cancer Institute Hospital, Tokyo, Japan.
Tatsuya YoshidaDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Makoto NishioDepartment of Thoracic Medical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Koji MatsumotoDivision of Medical Oncology, Hyogo Cancer Center, Hyogo, Japan.
Kazuhiro TakeharaDepartment of Gynecologic Oncology, NHO Shikoku Cancer Center, Ehime, Japan.
Kosei HasegawaDepartment of Gynecologic Oncology, Saitama Medical University International Medical Center, Saitama, Japan.
Toshiyuki KozukiDepartment of Thoracic Oncology, National Hospital Organization Shikoku Cancer Center, Ehime, Japan.
Yasuyuki HirashimaDepartment of Gynecology, Shizuoka Cancer Center, Shizuoka, Japan.
Hidenori KatoDepartment of Gynecologic Oncology, Hokkaido Cancer Center, Sapporo, Japan.
Takuma MiuraEisai Co. Ltd., Tokyo, Japan.
Maiko NomotoEisai Co. Ltd., Tokyo, Japan.
Yue ZhaoBristol Myers Squibb, Princeton, NJ, USA.
Li ZhuBristol Myers Squibb, Princeton, NJ, USA.
Sanae YasudaEisai Inc., Nutley, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first-in-human, Phase 1 Study 101 showed antitumor activity and a tolerable safety profile of farletuzumab ecteribulin in Japanese patients with platinum-resistant ovarian and non-small cell lung cancer. A pharmacometric assessment evaluated farletuzumab ecteribulin pharmacokinetics and exposure-response (E-R) relationships for efficacy and safety to support dose optimization. Patients received 0.3-1.2 mg/kg of farletuzumab ecteribulin intravenously every 3 weeks. A pharmacokinetics (PK) model was developed and used for E-R analyses. Efficacy was assessed via tumor response and safety via known treatment-emergent adverse events (TEAEs) of farletuzumab ecteribulin, particularly pneumonitis/interstitial lung disease (ILD). Dosing scenarios were simulated to identify dosing that maximizes the probability of an objective response while minimizing the risk of ILD. The farletuzumab ecteribulin PK dataset included 1261 observations from 82 patients. The final model included an estimated population mean value for farletuzumab ecteribulin clearance of 0.0162 L/h. Body surface area (BSA) was a significant PK covariate and was included in the model. Body weight (BW) was associated with higher farletuzumab ecteribulin exposure. Using BW-based dosing, farletuzumab ecteribulin AUC (area under the serum concentration-time curve) was higher in patients with tumor response or stable disease versus patients with progressive disease and higher in patients with ILD and other TEAEs. Dosing simulations showed that BSA-based dosing (33 mg/m

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic AgentsModels, BiologicalNeoplasmsAdultAgedAged, 80 and overBody Surface AreaCarcinoma, Non-Small-Cell LungDose-Response Relationship, DrugEast Asian PeopleFemaleHumansJapanLung NeoplasmsMaleAntibodies, Monoclonal, HumanizedAntineoplastic Agentsantibody–drug conjugatedose optimizationexposure–response analysisovarian cancerpopulation pharmacokinetics

Identifiers

PMID39853764
PMCPMC12110728

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.