Evidence map›Paper›PMID 30410017›Full record

ArticleNature communications2018

Structure of the 4-1BB/4-1BBL complex and distinct binding and functional properties of utomilumab and urelumab.

S Michael Chin, Christopher R Kimberlin, Zygy Roe-Zurz, Pamela Zhang, Allison Xu, Sindy Liao-Chan, Debasish Sen, Andrew R Nager, Nicole Schirle Oakdale, Colleen Brown and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

95 citing papers in PubMed, 143 citations in OpenAlex.

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  13. CD137-expressing regulatory T cells in cancer and autoimmune diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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35 more citing papers are in PubMed but not listed here.

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

16 authors at 2 institutions in 2 countries.

S Michael ChinCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA. shermanmichael.chin@pfizer.com.
Christopher R KimberlinCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Zygy Roe-ZurzCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Pamela ZhangCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Allison XuCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Sindy Liao-ChanCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Debasish SenCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Andrew R NagerCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Nicole Schirle OakdaleCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Colleen BrownCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Feng WangCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Yuting YangDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, 48105, USA.
Kevin LindquistCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Yik Andy YeungCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Shahram Salek-ArdakaniCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA.
Javier Chaparro-RiggersCancer Immunology Discovery, Pfizer Inc., 230 E. Grand Ave, South San Francisco, CA, 94080, USA. javier.chaparro-riggers@pfizer.com.
Pfizer (United States) · USUniversity of Michigan–Ann Arbor · US

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
Pilatus 6mS10OD021832 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ADAMS, PAUL DAVID · 2016 to 2016
$980k
NIGMS NIH HHS P30 GM124169NIH HHS S10 OD021832
6 · The paper itself

Abstract

4-1BB (CD137, TNFRSF9) is an inducible costimulatory receptor expressed on activated T cells. Clinical trials of two agonist antibodies, utomilumab (PF-05082566) and urelumab (BMS-663513), are ongoing in multiple cancer indications, and both antibodies demonstrate distinct activities in the clinic. To understand these differences, we solved structures of the human 4-1BB/4-1BBL complex, the 4-1BBL trimer alone, and 4-1BB bound to utomilumab or urelumab. The 4-1BB/4-1BBL complex displays a unique interaction between receptor and ligand when compared with other TNF family members. Furthermore, our ligand-only structure differs from previously published data. Utomilumab, a ligand-blocking antibody, binds 4-1BB between CRDs 3 and 4. In contrast, urelumab binds 4-1BB CRD-1, away from the ligand binding site. Finally, cell-based assays demonstrate utomilumab is a milder agonist than urelumab. Collectively, our data provide a deeper understanding of the 4-1BB signaling complex, providing a template for future development of next generation 4-1BB targeted biologics.

Indexed as

4-1BB LigandAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBinding SitesHEK293 CellsHumansImmunoglobulin GJurkat CellsModels, MolecularProtein DomainsTumor Necrosis Factor Receptor Superfamily, Member 94-1BB LigandAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedImmunoglobulin GTumor Necrosis Factor Receptor Superfamily, Member 9urelumabutomilumab

Identifiers

PMID30410017
PMCPMC6224509
OpenAlexW2899226403

What OpenQuestion holds

Textmetadata
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.