Evidence map›Paper›PMID 31878323›Full record

ReviewCells2019

On ATG4B as Drug Target for Treatment of Solid Tumours-The Knowns and the Unknowns.

Alexander Agrotis, Robin Ketteler

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  4. A novel regulatory circuit of ATG4B and SESN3 promotes T cell leukemogenesis.Journal of experimental & clinical cancer research : CR · 2025
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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

2 authors at 1 institution in 1 country.

Alexander AgrotisMRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK.
Robin KettelerMRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK.
MRC Laboratory for Molecular Cell Biology · GB

Funding

Medical Research Council MC_EX_G0800785Medical Research Council MC_PC_12024Medical Research Council MC_U12266B, MC_PC_12024
6 · The paper itself

Abstract

Autophagy is an evolutionary conserved stress survival pathway that has been shown to play an important role in the initiation, progression, and metastasis of multiple cancers; however, little progress has been made to date in translation of basic research to clinical application. This is partially due to an incomplete understanding of the role of autophagy in the different stages of cancer, and also to an incomplete assessment of potential drug targets in the autophagy pathway. While drug discovery efforts are on-going to target enzymes involved in the initiation phase of the autophagosome, e.g., unc51-like autophagy activating kinase (ULK)1/2, vacuolar protein sorting 34 (Vps34), and autophagy-related (ATG)7, we propose that the cysteine protease ATG4B is a bona fide drug target for the development of anti-cancer treatments. In this review, we highlight some of the recent advances in our understanding of the role of ATG4B in autophagy and its relevance to cancer, and perform a critical evaluation of ATG4B as a druggable cancer target.

Indexed as

AutophagyAutophagy-Related ProteinsCarcinoma, Pancreatic DuctalCell Line, TumorCell ProliferationCysteine EndopeptidasesDrug DiscoveryDrug Screening Assays, AntitumorHumansNeoplasm InvasivenessNeoplasmsATG4B protein, humanAutophagy-Related ProteinsCysteine EndopeptidasesATG4autophagybiomarkerdrug screeningpancreatic ductal adenocarcinoma (PDAC)screening assaysmall molecule compound

Identifiers

PMID31878323
PMCPMC7016753
OpenAlexW2997532220

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.