Evidence map›Paper›PMID 37964753›Full record

ArticleCPT: pharmacometrics & systems pharmacology2023

A model-based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno-oncology.

Javier Sánchez, Christina Claus, Rosmarie Albrecht, Brenda C Gaillard, Joana Marinho, Christine McIntyre, Tamara Tanos, Axel Boehnke, Lena E Friberg, Siv Jönsson and 1 more

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Combining mathematical modeling,Frontiers in pharmacology · 2024
    Article
  3. Article
  4. Article
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

11 authors at 3 institutions in 3 countries.

Javier SánchezRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.ORCID 0000-0002-8279-6916
Christina ClausRoche Pharma Research and Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland.
Rosmarie AlbrechtRoche Pharma Research and Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland.
Brenda C GaillardRoche Pharma Research and Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland.
Joana MarinhoRoche Pharma Research and Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland.
Christine McIntyreRoche Pharma Research and Early Development, Roche Innovation Center Welwyn, Welwyn Garden City, UK.
Tamara TanosRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.
Axel BoehnkeRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.
Lena E FribergDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-2979-679X
Siv JönssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-8240-0865
Nicolas FrancesRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.
Roche (Switzerland) · CHUppsala University · SERoche (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FAP-4-1BBL is a bispecific antibody exerting 4-1BB-associated T-cell activation only while simultaneously bound to the fibroblast activation protein (FAP) receptor, expressed on the surface of cancer-associated fibroblasts. The trimeric complex formed when FAP-4-1BBL is simultaneously bound to FAP and 4-1BB represents a promising mechanism to achieve tumor-specific 4-1BB stimulation. We integrated in vitro data with mathematical modeling to characterize the pharmacology of FAP-4-1BBL as a function of trimeric complex formation when combined with the T-cell engager cibisatamab. This relationship was used to prospectively predict a range of clinical doses where trimeric complex formation is expected to be at its maximum. Depending on the dosing schedule and FAP-4-1BBL plasma: tumor distribution, doses between 2 and 145 mg could lead to maximum trimeric complex formation in the clinic. Due to the expected variability in both pharmacokinetic and FAP expression in the patient population, we predict that detecting a clear dose-response relationship would remain difficult without a large number of patients per dose level, highlighting that mathematical modeling techniques based on in vitro data could aid dose selection.

Indexed as

Antibodies, BispecificNeoplasmsHumansT-LymphocytesAntibodies, Bispecific

Identifiers

PMID37964753
PMCPMC10681425
OpenAlexW4388689007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.