Evidence map›Paper›PMID 38200255›Full record

ArticleNature medicine2024

Insights for precision oncology from the integration of genomic and clinical data of 13,880 tumors from the 100,000 Genomes Cancer Programme.

Alona Sosinsky, John Ambrose, William Cross, Clare Turnbull, Shirley Henderson, Louise Jones, Angela Hamblin, Prabhu Arumugam, Georgia Chan, Daniel Chubb and 24 more

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
44.8field-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

103 citing papers in PubMed, 1 synthesis or guideline pooled it, 157 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
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  7. Article
  8. Patient experiences of tissue donation and digital consent support in primary craniospinal tumour research.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  15. Observational
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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors at 8 institutions in 1 country.

Alona Sosinsky *Genomics England, London, UK.
John Ambrose *Genomics England, London, UK.
William Cross *School of Life Sciences, University of Westminster, London, UK.ORCID 0000-0002-4794-8777
Clare TurnbullGenomics England, London, UK.
Shirley HendersonGenomics England, London, UK.
Louise JonesGenomics England, London, UK.
Angela HamblinGenomics England, London, UK.
Prabhu ArumugamGenomics England, London, UK.
Georgia ChanGenomics England, London, UK.
Daniel ChubbInstitute of Cancer Research, London, UK.
Boris NoyvertInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Jonathan MitchellGenomics England, London, UK.
Susan WalkerGenomics England, London, UK.
Katy BowmanGenomics England, London, UK.
Dorota PaskoGenomics England, London, UK.
Marianna Buongermino PereiraGenomics England, London, UK.ORCID 0000-0003-3450-949X
Nadezda VolkovaGenomics England, London, UK.
Antonio Rueda-MartinGenomics England, London, UK.
Daniel Perez-GilGenomics England, London, UK.
Javier LopezGenomics England, London, UK.
John PullingerGenomics England, London, UK.ORCID 0000-0001-9357-1184
Afshan SiddiqGenomics England, London, UK.
Tala ZainyGenomics England, London, UK.
Tasnim ChoudhuryGenomics England, London, UK.
Olena YavorskaGenomics England, London, UK.
Tom FowlerGenomics England, London, UK.
David BentleyIllumina Cambridge, Cambridge, UK.
Clare KingsleyIllumina Cambridge, Cambridge, UK.
Sandra HingGenomics Unit, NHS England, London, UK.
Zandra DeansGenomics Unit, NHS England, London, UK.
Augusto RendonGenomics England, London, UK.ORCID 0000-0001-8994-0039
Sue HillGenomics Unit, NHS England, London, UK.
Mark Caulfield *Genomics England, London, UK. m.j.caulfield@qmul.ac.uk.ORCID 0000-0001-9295-3594
Nirupa Murugaesu *Genomics England, London, UK. nirupa.murugaesu@genomicsengland.co.uk.ORCID 0000-0002-5005-7908
Genomics England · GBQueen Mary University of London · GBIllumina (United Kingdom) · GBInstitute of Cancer Research · GBChurchill Hospital · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Birmingham · GBUniversity of Westminster · GB

Funding

Medical Research Council MC_EX_MR/M009203/1Medical Research Council MC_PC_14089Medical Research Council MR/M009203/1Wellcome Trust
6 · The paper itself

Abstract

The Cancer Programme of the 100,000 Genomes Project was an initiative to provide whole-genome sequencing (WGS) for patients with cancer, evaluating opportunities for precision cancer care within the UK National Healthcare System (NHS). Genomics England, alongside NHS England, analyzed WGS data from 13,880 solid tumors spanning 33 cancer types, integrating genomic data with real-world treatment and outcome data, within a secure Research Environment. Incidence of somatic mutations in genes recommended for standard-of-care testing varied across cancer types. For instance, in glioblastoma multiforme, small variants were present in 94% of cases and copy number aberrations in at least one gene in 58% of cases, while sarcoma demonstrated the highest occurrence of actionable structural variants (13%). Homologous recombination deficiency was identified in 40% of high-grade serous ovarian cancer cases with 30% linked to pathogenic germline variants, highlighting the value of combined somatic and germline analysis. The linkage of WGS and longitudinal life course clinical data allowed the assessment of treatment outcomes for patients stratified according to pangenomic markers. Our findings demonstrate the utility of linking genomic and real-world clinical data to enable survival analysis to identify cancer genes that affect prognosis and advance our understanding of how cancer genomics impacts patient outcomes.

Indexed as

GlioblastomaPrecision MedicineGenomicsGerm-Line MutationHumansOncogenes

Identifiers

PMID38200255
PMCPMC10803271
OpenAlexW4390718808

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.