Evidence map›Paper›PMID 39009593›Full record

ArticleNature communications2024

Whole genome sequencing refines stratification and therapy of patients with clear cell renal cell carcinoma.

Richard Culliford, Samuel E D Lawrence, Charlie Mills, Zayd Tippu, Daniel Chubb, Alex J Cornish, Lisa Browning, Ben Kinnersley, Robert Bentham, Amit Sud and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Richard Culliford *Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0003-4534-9241
Samuel E D Lawrence *Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Charlie Mills *Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0002-4755-7549
Zayd Tippu *Renal and Skin Units, The Royal Marsden NHS Foundation Trust, London, UK.
Daniel ChubbDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Alex J CornishDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0002-3966-3501
Lisa BrowningDepartment of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ben KinnersleyDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0003-1783-6296
Robert BenthamDepartment of Oncology, University College London Cancer Institute, London, UK.
Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0002-6133-0164
Husayn PallikondaRenal and Skin Units, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0003-4472-2067
Renal Cancer Genomics England Consortium
Anna FrangouNuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-6990-2756
Andreas J GruberDepartment of Biology, University of Konstanz, Konstanz, Germany.ORCID 0000-0001-7664-4257
Kevin LitchfieldCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID 0000-0002-3725-0914
David WedgeManchester Cancer Research Centre, University of Manchester, Manchester, UK.ORCID 0000-0002-7572-3196
James LarkinRenal and Skin Units, The Royal Marsden NHS Foundation Trust, London, UK.
Samra TurajlicRenal and Skin Units, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0001-8846-136X
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. richard.houlston@icr.ac.uk.ORCID 0000-0002-5268-0242

Funding

Deciphering Clonal Evolution in Hereditary Renal Cell CarcinomasU01CA247439 · NCI · FRANCIS CRICK INSTITUTE, LTD · PI TURAJLIC, SAMRA · 2020 to 2024
$1.1M
Cancer Research UK 29911Cancer Research UK (CRUK) C1298/A8362, A29911, FC10988DH | National Institute for Health Research (NIHR) A109Melanoma Research Alliance (MRA) 686061NCI NIH HHS U01 CA247439RCUK | Medical Research Council (MRC) FC10988Rosetrees Trust A2204Wellcome TrustWellcome Trust (Wellcome) 214388, FC10988
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer, but a comprehensive description of its genomic landscape is lacking. We report the whole genome sequencing of 778 ccRCC patients enrolled in the 100,000 Genomes Project, providing for a detailed description of the somatic mutational landscape of ccRCC. We identify candidate driver genes, which as well as emphasising the major role of epigenetic regulation in ccRCC highlight additional biological pathways extending opportunities for therapeutic interventions. Genomic characterisation identified patients with divergent clinical outcome; higher number of structural copy number alterations associated with poorer prognosis, whereas VHL mutations were independently associated with a better prognosis. The observations that higher T-cell infiltration is associated with better overall survival and that genetically predicted immune evasion is not common supports the rationale for immunotherapy. These findings should inform personalised surveillance and treatment strategies for ccRCC patients.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMutationVon Hippel-Lindau Tumor Suppressor ProteinWhole Genome SequencingAgedDNA Copy Number VariationsEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyMaleMiddle AgedPrognosisVHL protein, humanVon Hippel-Lindau Tumor Suppressor Protein

Identifiers

PMID39009593
PMCPMC11250826

What OpenQuestion holds

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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.