Evidence map›Paper›PMID 36344331›Full record

ReviewTrends in molecular medicine2023

Unlocking the potential of agonist antibodies for treating cancer using antibody engineering.

Harkamal S Jhajj, Timon S Lwo, Emily L Yao, Peter M Tessier

Open access · greenAbstract readReview
In one paragraph

Review in Trends in molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  11. CD8Nature communications · 2024
    Article
  12. Harnessing the potential of CD40 agonism in cancer therapy.Cytokine & growth factor reviews · 2024
    Review
  13. Role of TIM-1 in the development and treatment of tumours.Frontiers in cell and developmental biology · 2024
    Review
  14. Article
  15. Review
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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

4 authors at 1 institution in 1 country.

Harkamal S JhajjDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Timon S LwoDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Emily L YaoDepartment of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Peter M TessierDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: ptessier@umich.edu.
University of Michigan · US

Funding

Design and Evolution of Polyvalent Domain Antibodies Specific for Tau AggregatesRF1AG059723 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KANE, RAVI S., TESSIER, PETER M · 2018 to 2022
$2.4M
Structure-guided antibody targeting of pre-selected epitopes in amyloidogenic aggregatesR35GM136300 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TESSIER, PETER M · 2020 to 2024
$1.5M
NIA NIH HHS RF1 AG059723NIGMS NIH HHS R35 GM136300
6 · The paper itself

Abstract

Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they have shown limited clinical utility and further antibody optimization is urgently needed to improve their therapeutic potential. Here, we discuss key antibody engineering approaches for improving the activity of antibody agonists by optimizing their valency, specificity for different receptors (e.g., bispecific antibodies) and epitopes (e.g., biepitopic or biparatopic antibodies), and Fc affinity for Fcγ receptors (FcγRs). These powerful approaches are being used to develop the next generation of cancer immunotherapeutics with improved efficacy and safety.

Indexed as

NeoplasmsEpitopesHumansImmunotherapyEpitopes4-1BBCD137CD40immunotherapymonoclonal antibodyOX40

Identifiers

PMID36344331
PMCPMC9742327
OpenAlexW4308346292

What OpenQuestion holds

Textmetadata
LicenceTDM
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.