Evidence map›Paper›PMID 24969085›Full record

ArticleHuman molecular genetics2014

An integrated computational approach can classify VHL missense mutations according to risk of clear cell renal carcinoma.

Lucy Gossage, Douglas E V Pires, Álvaro Olivera-Nappa, Juan Asenjo, Mark Bycroft, Tom L Blundell, Tim Eisen

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 25 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

7 authors at 4 institutions in 2 countries.

Lucy GossageCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK lucy.gossage@doctors.org.uk lucy.gossage@cruk.cam.ac.uk.
Douglas E V PiresDepartment of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK.
Álvaro Olivera-NappaDepartment of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK, Centre for Biochemical Engineering and Biotechnology, University of Chile, Beauchef 850, Santiago, Chile.
Juan AsenjoCentre for Biochemical Engineering and Biotechnology, University of Chile, Beauchef 850, Santiago, Chile.
Mark BycroftMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Research Centre, Cambridge CB2 0QH, UK and.
Tom L BlundellDepartment of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK.
Tim EisenDepartment of Oncology, Cambridge University Hospitals NHS Foundation Trust, Box 193 (R4) Addenbrooke's Hospital, Cambridge Biomedical Campus, Hill's Road, Cambridge CB2 0QQ, UK.
University of Cambridge · GBUniversity of Chile · CLAddenbrooke's Hospital · GBNIHR Cambridge Biomedical Research Centre

Funding

Cancer Research UK 10868Medical Research Council MC_U105184326
6 · The paper itself

Abstract

Mutations in the von Hippel-Lindau (VHL) gene are pathogenic in VHL disease, congenital polycythaemia and clear cell renal carcinoma (ccRCC). pVHL forms a ternary complex with elongin C and elongin B, critical for pVHL stability and function, which interacts with Cullin-2 and RING-box protein 1 to target hypoxia-inducible factor for polyubiquitination and proteasomal degradation. We describe a comprehensive database of missense VHL mutations linked to experimental and clinical data. We use predictions from in silico tools to link the functional effects of missense VHL mutations to phenotype. The risk of ccRCC in VHL disease is linked to the degree of destabilization resulting from missense mutations. An optimized binary classification system (symphony), which integrates predictions from five in silico methods, can predict the risk of ccRCC associated with VHL missense mutations with high sensitivity and specificity. We use symphony to generate predictions for risk of ccRCC for all possible VHL missense mutations and present these predictions, in association with clinical and experimental data, in a publically available, searchable web server.

Indexed as

Mutation, MissenseCarcinoma, Renal CellComputational BiologyComputer SimulationGenetic Predisposition to DiseaseHumansKidney NeoplasmsPhenotypevon Hippel-Lindau DiseaseVon Hippel-Lindau Tumor Suppressor ProteinVHL protein, humanVon Hippel-Lindau Tumor Suppressor Protein

Identifiers

PMID24969085
PMCPMC4204774
OpenAlexW2170304162

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.