Evidence map›Paper›PMID 30293088›Full record

ReviewNature reviews. Cancer2018

The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers.

Zbyslaw Sondka, Sally Bamford, Charlotte G Cole, Sari A Ward, Ian Dunham, Simon A Forbes

Abstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 962 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
962citing papers in PubMed, 3 pooled it
–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

962 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  11. Disentangling Heterogeneous Molecular Networks for Multi-Omics-Driven Cancer Driver Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. Clonal selection of somatic mutations shapes NK cell memory.bioRxiv : the preprint server for biology · 2026
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902 more citing papers are in PubMed but not listed here.

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

6 authors.

Zbyslaw SondkaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. zbyslaw.sondka@sanger.ac.uk.
Sally BamfordWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Charlotte G ColeWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Sari A WardWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Ian DunhamOpen Targets, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Simon A ForbesWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The Catalogue of Somatic Mutations in Cancer (COSMIC) Cancer Gene Census (CGC) is an expert-curated description of the genes driving human cancer that is used as a standard in cancer genetics across basic research, medical reporting and pharmaceutical development. After a major expansion and complete re-evaluation, the 2018 CGC describes in detail the effect of 719 cancer-driving genes. The recent expansion includes functional and mechanistic descriptions of how each gene contributes to disease generation in terms of the key cancer hallmarks and the impact of mutations on gene and protein function. These functional characteristics depict the extraordinary complexity of cancer biology and suggest multiple cancer-related functions for many genes, which are often highly tissue-dependent or tumour stage-dependent. The 2018 CGC encompasses a second tier, describing an expanding list of genes (currently 145) from more recent cancer studies that show supportive but less detailed indications of a role in cancer.

Indexed as

CensusesHumansMutationNeoplasms

Identifiers

PMID30293088
PMCPMC6450507

What OpenQuestion holds

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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 OpenQuestion graph.