Evidence map›Paper›PMID 21123047›Full record

ReviewCurrent opinion in genetics & development2011

Protein kinase signaling networks in cancer.

John Brognard, Tony Hunter

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

94 citing papers in PubMed, 228 citations in OpenAlex.

  1. Trial
  2. Review
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  7. Review
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  10. Review
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  12. Dual-action kinase inhibitors influence p38α MAP kinase dephosphorylation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Kinase-substrate prediction using an autoregressive model.Computational and structural biotechnology journal · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

34 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

2 authors at 2 institutions in 2 countries.

John BrognardSignalling Networks in Cancer Group, Cancer Research UK, Paterson Institute for Cancer Research, The University of Manchester, Manchester, UK. jbrognard@picr.man.ac.uk
Tony Hunter
Salk Institute for Biological Studies · USUniversity of Manchester · GB

Funding

Viral Vector Core (VVC)P30CA014195 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Ye Zheng · 1985 to 2026
$82.8M
SIGNAL TRANSDUCTION BY TYROSINE PHOSPHORYLATIONR01CA082683 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI HUNTER, TONY R. · 1999 to 2019
$12.2M
Cancer Research UK 12936NCI NIH HHS CA14195NCI NIH HHS CA82683NCI NIH HHS P30 CA014195NCI NIH HHS R01 CA082683
6 · The paper itself

Abstract

Protein kinases orchestrate the activation of signaling cascades in response to extracellular and intracellular stimuli to control cell growth, proliferation, and survival. The complexity of numerous intracellular signaling pathways is highlighted by the number of kinases encoded by the human genome (539) and the plethora of phosphorylation sites identified in phosphoproteomic studies. Perturbation of these signaling networks by mutations or abnormal protein expression underlies the cause of many diseases including cancer. Recent RNAi screens and cancer genomic sequencing studies have revealed that many more kinases than anticipated contribute to tumorigenesis and are potential targets for inhibitor drug development intervention. This review will highlight recent insights into known pathways essential for tumorigenesis and discuss exciting new pathways for therapeutic intervention.

Indexed as

Signal TransductionGenetic TestingHumansMutationNeoplasmsProtein KinasesProtein Kinases

Identifiers

PMID21123047
PMCPMC3038181
OpenAlexW1993571705

What OpenQuestion holds

Textmetadata
LicenceTDM
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.