Evidence map›Paper›PMID 37891017›Full record

ReviewTrends in pharmacological sciences2023

New tricks for an old pathway: emerging Notch-based biotechnologies and therapeutics.

Elliot Medina, David H Perez, Daniel Antfolk, Vincent C Luca

Open access · greenAbstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 13 citations in OpenAlex.

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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 2 institutions in 1 country.

Elliot MedinaDepartment of Immunology, Moffitt Cancer Center, Tampa, FL, USA; Cancer Biology PhD Program, University of South Florida, Tampa, FL, USA.
David H PerezDepartment of Immunology, Moffitt Cancer Center, Tampa, FL, USA.
Daniel AntfolkDepartment of Immunology, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: Daniel.Antfolk@moffitt.org.
Vincent C LucaDepartment of Immunology, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: Vince.Luca@moffitt.org.
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

Illuminating Notch receptor-ligand selectivity through structure-guided protein engineering supplementR35GM133482 · NIGMS · H. LEE MOFFITT CANCER CTR & RES INST · PI Vincent Christopher Luca · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM133482
6 · The paper itself

Abstract

The Notch pathway regulates a diverse array of cell fate decisions, making it an enticing target in cancer therapy and regenerative medicine. During the early stages of Notch drug development, off-target toxicity precluded the approval of Notch inhibitors for the treatment of cancer. However, recent advances in our understanding of Notch structure and signaling have led to the development of several innovative Notch-based biotechnologies. In addition to new classes of inhibitors, pharmacological Notch activators have been shown to enhance osteogenesis and various aspects of T cell function. Furthermore, the mechanosensitive negative regulatory region (NRR) of the Notch receptor has been converted into synthetic Notch (synNotch) receptors with fully customizable signaling circuits. We review emergent Notch-based compounds, biologics, and cell therapies while highlighting the challenges and opportunities they face on the path to clinical development.

Indexed as

NeoplasmsReceptors, NotchBiotechnologyHumansSignal TransductionReceptors, NotchimmunotherapyNotch signalingsynthetic biology

Identifiers

PMID37891017
PMCPMC10841456
OpenAlexW4387996924

What Socratic 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 Socratic graph.