Evidence map›Paper›PMID 39444607›Full record

ArticleFrontiers in pharmacology2024

Combining mathematical modeling,

Javier Sanchez, Christina Claus, Christine McIntyre, Tamara Tanos, Axel Boehnke, Lena E Friberg, Siv Jönsson, Nicolas Frances

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Javier SanchezRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.
Christina ClausRoche Pharma Research and Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland.
Christine McIntyreRoche Pharma Research and Early Development (pRED), Roche Innovation Center Welwyn, Welwyn Garden City, United Kingdom.
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.
Siv JönssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Nicolas FrancesRoche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of bispecific costimulatory antibodies in cancer immunotherapy are capable of exerting tumor-specific T-cell activation by simultaneously engaging both tumor-associated targets and costimulatory receptors expressed by T cells. The amount of trimeric complex formed when the bispecific antibody is bound simultaneously to the T cell receptor and the tumor-associated target follows a bell-shaped curve with increasing bispecific antibody exposure/dose. The shape of the curve is determined by the binding affinities of the bispecific antibody to its two targets and target expression. Here, using the case example of FAP-4-1BBL, a fibroblast activation protein alpha (FAP)-directed 4-1BB (CD137) costimulator, the impact of FAP-binding affinity on trimeric complex formation and pharmacology was explored using mathematical modeling and simulation. We quantified (1) the minimum number of target receptors per cell required to achieve pharmacological effect, (2) the expected coverage of the patient population for 19 different solid tumor indications, and (3) the range of pharmacologically active exposures as a function of FAP-binding affinity. A 10-fold increase in FAP-binding affinity (from a dissociation constant [K

Indexed as

binding affinitybispecific antibodyFAP-4-1BBLimmunotherapymodelingoncologypharmacodynamicssimulation

Identifiers

PMID39444607
PMCPMC11497128

What OpenQuestion holds

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LicenceCC BY
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.