Evidence map›Paper›PMID 31959955›Full record

ArticleNature biotechnology2020

Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring.

Maruan Hijazi, Ryan Smith, Vinothini Rajeeve, Conrad Bessant, Pedro R Cutillas

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
6.2field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
  2. A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
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  13. Functional Pathway Inference Analysis (FPIA).Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  17. Review
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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

5 authors at 2 institutions in 1 country.

Maruan HijaziSignalling and Proteomics Group, Barts Cancer Institute, Queen Mary University of London, London, UK.
Ryan SmithSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Vinothini RajeeveSignalling and Proteomics Group, Barts Cancer Institute, Queen Mary University of London, London, UK.
Conrad BessantSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-7983-1020
Pedro R CutillasSignalling and Proteomics Group, Barts Cancer Institute, Queen Mary University of London, London, UK. p.cutillas@qmul.ac.uk.ORCID http://orcid.org/0000-0002-3426-2274
Queen Mary University of London · GBTuring Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M006174/1Cancer Research UK 24375Cancer Research UK C15966/A24375Cancer Research UK C16420/A18066
6 · The paper itself

Abstract

Understanding how oncogenic mutations rewire regulatory-protein networks is important for rationalizing the mechanisms of oncogenesis and for individualizing anticancer treatments. We report a chemical phosphoproteomics method to elucidate the topology of kinase-signaling networks in mammalian cells. We identified >6,000 protein phosphorylation sites that can be used to infer >1,500 kinase-kinase interactions and devised algorithms that can reconstruct kinase network topologies from these phosphoproteomics data. Application of our methods to primary acute myeloid leukemia and breast cancer tumors quantified the relationship between kinase expression and activity, and enabled the identification of hitherto unknown kinase network topologies associated with drug-resistant phenotypes or specific genetic mutations. Using orthogonal methods we validated that PIK3CA wild-type cells adopt MAPK-dependent circuitries in breast cancer cells and that the kinase TTK is important in acute myeloid leukemia. Our phosphoproteomic signatures of network circuitry can identify kinase topologies associated with both phenotypes and genotypes of cancer cells.

Indexed as

AlgorithmsBiomarkers, TumorDrug Resistance, NeoplasmGenomicsHumansNeoplasmsPhosphorylationPhosphotransferasesProtein Kinase InhibitorsProteomicsSignal TransductionTumor Cells, CulturedBiomarkers, TumorPhosphotransferasesProtein Kinase Inhibitors

Identifiers

PMID31959955
OpenAlexW3000075214

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.