Evidence map›Paper›PMID 35311890›Full record

ReviewBiochemical Society transactions2022

GCN2: roles in tumour development and progression.

Lyssa T Gold, Glenn R Masson

Open access · hybridAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2022. 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
7.9field-weighted citation impact, top 1% 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, 59 citations in OpenAlex.

  1. Substrate Binding Relieves Autoinhibition of the Mammalian GCN2 Kinase.bioRxiv : the preprint server for biology · 2026
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  8. Cellular Signaling of Amino Acid Metabolism in Prostate Cancer.International journal of molecular sciences · 2025
    Review
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  10. BRAFbioRxiv : the preprint server for biology · 2024
    Article
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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.

Lyssa T GoldDivision of Cellular Medicine, School of Medicine, University of Dundee, Dundee, Scotland, U.K.
Glenn R MassonDivision of Cellular Medicine, School of Medicine, University of Dundee, Dundee, Scotland, U.K.ORCID 0000-0002-1386-4719
University of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GCN2 (general control nonderepessible 2) is an eIF2α kinase responsible for entirely rewiring the metabolism of cells when they are put under amino acid starvation stress. Recently, there has been renewed interest in GCN2 as a potential oncotarget, with several studies reporting the development of small molecule inhibitors. The foundation of this work is built upon biochemical and cellular data which suggest GCN2 may be aberrantly overexpressed and is responsible for keeping cells on 'life-support' while tumours undergo significant nutritional stress during tumorigenesis, allowing cancer stem cells to develop chemotherapeutic resistance. However, most studies which have investigated the role of GCN2 in cancer have been conducted in various cancer model systems, often under a specific set of stresses, mutational backgrounds and drug cocktails. This review aims to comprehensively summarise the biochemical, molecular and cellular literature associated with GCN2 and its role in various cancers and determine whether a consensus can be developed to discern under which circumstances we may wish to target GCN2.

Indexed as

NeoplasmsProtein Serine-Threonine KinasesAmino AcidsHumansMutationPhosphorylationAmino AcidsProtein Serine-Threonine Kinasescancer signallingGCN2integrate stress responsestarvation signaling

Identifiers

PMID35311890
PMCPMC9162460
OpenAlexW4220830470

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.