Evidence map›Paper›PMID 41091072›Full record

ArticleThe Biochemical journal2025

Penetrant PKCβ mutation in ATLL displays a mixed gain-of-function.

Sophie Jl Brown, David C Briggs, Patrick Costello, Hiroko Yaguchi, Charles Rm Bangham, Peter J Parker, Neil Q McDonald

Abstract read
In one paragraph

Article in The Biochemical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sophie Jl BrownProtein Phosphorylation Laboratory.ORCID 0000-0001-9155-1606
David C BriggsSignalling and Structural Biology Laboratory.ORCID 0000-0002-9793-7339
Patrick CostelloSignalling and Transcription Laboratory, Francis Crick Institute, London, U.K.ORCID 0009-0000-4419-5012
Hiroko YaguchiDepartment of Infectious Diseases, Faculty of Medicine, Imperial College London, London, U.K.ORCID 0000-0002-6184-0033
Charles Rm BanghamDepartment of Infectious Diseases, Faculty of Medicine, Imperial College London, London, U.K.ORCID 0000-0003-2624-3599
Peter J ParkerProtein Phosphorylation Laboratory.ORCID 0000-0002-6218-2933
Neil Q McDonaldSignalling and Structural Biology Laboratory.ORCID 0000-0003-0975-6325

Funding

Wellcome Trust CC2068Wellcome Trust CC2140
6 · The paper itself

Abstract

Mutations in the T-cell receptor signalling pathway have been identified in patients with adult T-cell leukaemia/lymphoma (ATLL) and one of the most frequently observed targets of these mutations is protein kinase C beta (PKCβ). Here, we have characterised the most frequent mutation in PKCβ (D427N), addressing the issue of gain/loss of function, neomorphic change and assessing the impact of mutation in vivo, in cells, biochemically and structurally. It is concluded that this mutation is a gain-of-function, activating mutation that confers an altered substrate specificity on this protein kinase. In a constitutive knock-in mouse model, this activated allele induces splenomegaly associated with extramedullary haematopoiesis. Pharmacologically, the D427N mutant protein displays poor sensitivity to established PKCβ inhibitors, necessitating the development of bespoke therapeutics for any ATLL intervention through this target. Such efforts could be guided by the availability of the D427N mutant-ruboxistaurin structure presented here.

Indexed as

Gain of Function MutationMutation, MissenseProtein Kinase C betaAnimalsGene Knock-In TechniquesHumansMicePRKCB protein, humanProtein Kinase C betaATLLcancer associated mutationHTLV-1PKCβ

Identifiers

PMID41091072
PMCPMC12687424

What Socratic 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 Socratic graph.