Evidence map›Paper›PMID 39516578›Full record

ArticleBJC reports2024

Spatial functional mapping of hypoxia inducible factor heterodimerisation and immune checkpoint regulators in clear cell renal cell carcinoma.

Elena Safrygina, Christopher Applebee, Alan McIntyre, Julian Padget, Banafshé Larijani

Abstract read
In one paragraph

Article in BJC reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Elena SafryginaCell Biophysics Laboratory, Centre for Therapeutic Innovation, Life Science Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Christopher ApplebeeCell Biophysics Laboratory, Centre for Therapeutic Innovation, Life Science Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Alan McIntyre *Centre for Cancer Sciences, School of Medicine, Biodiscovery Institute, Science Road, University of Nottingham, NG7 2RD, Nottingham, UK.
Julian Padget *ART-AI, Department of Computational Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK. masjap@bath.ac.uk.
Banafshé Larijani *Cell Biophysics Laboratory, Centre for Therapeutic Innovation, Life Science Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK. bl666@bath.ac.uk.

Funding

Medical Research Council MR/P010334/1University of Bath Alumni FundingUniversity of Bath ART-AI doctoral training programme
6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is a highly malignant subtype of kidney cancer. Ninety percent of ccRCC have inactivating mutations of VHL that stabilise transcription factors, HIF1α and HIF2α, only stabilised in hypoxia. The varied response to HIF2 inhibition, in the preclinical and clinical settings, suggests that assessment of HIF2α activation state, not just expression levels is required as a biomarker of sensitivity to enable optimal clinical use.

methodsTwo-site amplified time-resolved Förster Resonance Energy Transfer (aiFRET), with FRET-Efficiency,

resultsFuncOmap directly maps functional states of oncoproteins and allows functional states quantification at an enhanced spatial resolution. The innovative contributions in FuncOmap are the means to co-analyse and map expressional and functional state images and the enhancement of spatial resolution to facilitate clinical application. We show the spatial interactive states HIF2α and HIF1β in ccRCC patient samples.

conclusionFuncOmap can be used to quantify heterogeneity in patient response and improve accurate patient stratification, thus enhancing the power of precision.

Identifiers

PMID39516578
PMCPMC11524007

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LicenceCC BY
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Registered trials

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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.