Evidence map›Paper›PMID 26822576›Full record

ReviewNature reviews. Cancer2016

The kinome 'at large' in cancer.

Emmy D G Fleuren, Luxi Zhang, Jianmin Wu, Roger J Daly

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
19.1field-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

155 citing papers in PubMed, 267 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A fetal oncogene NUAK2 is an emerging therapeutic target in glioblastoma.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. A web portal for exploring kinase-substrate interactions.NPJ systems biology and applications · 2024
    Article

95 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

4 authors at 4 institutions in 2 countries.

Emmy D G FleurenDepartment of Medical Oncology, Radboud University Medical Centre, Geert Grooteplein-Zuid 10, 6525 GA Nijmegen, The Netherlands.
Luxi ZhangCancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.
Jianmin WuCancer Division, Kinghorn Cancer Centre, Garvan Institute of Medical Research, 370 Victoria Street, Sydney, New South Wales 2010, Australia.
Roger J DalyCancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.
Australian Regenerative Medicine Institute · AUGarvan Institute of Medical Research · AUMonash University · AURadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, rapid advances in genomics, proteomics and functional genomics technologies that enable in-depth interrogation of cancer genomes and proteomes and high-throughput analysis of gene function have enabled characterization of the kinome 'at large' in human cancers, providing crucial insights into how members of the protein kinase superfamily are dysregulated in malignancy, the context-dependent functional role of specific kinases in cancer and how kinome remodelling modulates sensitivity to anticancer drugs. The power of these complementary approaches, and the insights gained from them, form the basis of this Analysis article.

Indexed as

Gene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticHigh-Throughput Screening AssaysHistone AcetyltransferasesHumansMolecular Targeted TherapyMutationNeoplasmsNIMA-Related KinasesProtein KinasesProtein Serine-Threonine KinasesProteomicsTATA-Binding Protein Associated FactorsTranscription Factor TFIIDHistone AcetyltransferasesNEK9 protein, humanNIMA-Related KinasesProtein KinasesProtein Serine-Threonine KinasesTATA-binding protein associated factor 250 kDaTATA-Binding Protein Associated FactorsTranscription Factor TFIID

Identifiers

PMID26822576
OpenAlexW2253992243

What OpenQuestion holds

Textmetadata
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.