Evidence map›Paper›PMID 31403344›Full record

ReviewHuman vaccines & immunotherapeutics2020

Concepts for agonistic targeting of CD40 in immuno-oncology.

David M Richards, Julian P Sefrin, Christian Gieffers, Oliver Hill, Christian Merz

Open access · hybridAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 68 citations in OpenAlex.

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  12. Harnessing the potential of CD40 agonism in cancer therapy.Cytokine & growth factor reviews · 2024
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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

5 authors at 1 institution in 1 country.

David M RichardsResearch and Development, Apogenix AG, Heidelberg, Germany.
Julian P SefrinResearch and Development, Apogenix AG, Heidelberg, Germany.
Christian GieffersResearch and Development, Apogenix AG, Heidelberg, Germany.
Oliver HillResearch and Development, Apogenix AG, Heidelberg, Germany.
Christian MerzResearch and Development, Apogenix AG, Heidelberg, Germany.
Apogenix (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TNF Receptor Superfamily (TNF-R-SF) signaling is a structurally well-defined event that requires proper receptor clustering and trimerization. While the TNF-SF ligands naturally exist as trivalent functional units, the receptors are usually separated on the cell surface. Critically, receptor assembly into functional trimeric signaling complexes occurs through binding of the natural ligand unit. TNF-R-SF members, including CD40, have been key immunotherapeutic targets for over 20 years. CD40, expressed by antigen-presenting cells, endothelial cells, and many tumors, plays a fundamental role in connecting innate and adaptive immunity. The multiple investigated strategies to induce CD40 signaling can be broadly grouped into antibody-based or CD40L-based approaches. Currently, seven different antibodies and one CD40L-based hexavalent fusion protein are in active clinical trials. In this review, we describe the biology and structural properties of CD40, requirements for agonistic signal transduction through CD40 and summarize current attempts to exploit the CD40 signaling pathway for the treatment of cancer.

Indexed as

Endothelial CellsNeoplasmsCD40 AntigensCD40 LigandHumansReceptors, Tumor Necrosis FactorSignal TransductionCD40 AntigensCD40 LigandReceptors, Tumor Necrosis FactoragonistcancerCD40CD40LHERA ligandsimmunotherapyTNF-R-SF

Identifiers

PMID31403344
PMCPMC7062441
OpenAlexW2967178823

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.