Evidence map›Paper›PMID 35113472›Full record

ReviewInternational journal of cancer2022

Mapping oncogenic protein interactions for precision medicine.

Mehdi Sharifi Tabar, Habib Francis, Dannel Yeo, Charles G Bailey, John E J Rasko

Abstract readReview
In one paragraph

Review in International journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
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  6. Article
  7. When neighbors play a role: A systems-level analysis of protein interactions conditioning cancer driver mutation effects.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Mapping of the hSOX10 protein interactome in human melanoma.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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  16. Review
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  18. Article
  19. The permissive binding theory of cancer.Frontiers in oncology · 2023
    Article
  20. Review
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.

Mehdi Sharifi TabarGene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia.
Habib FrancisGene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia.
Dannel YeoFaculty of Medicine & Health, The University of Sydney, Sydney, New South Wales, Australia.
Charles G BaileyGene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia.
John E J RaskoGene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia.ORCID 0000-0003-2975-807X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal protein-protein interactions (normPPIs) occur with high fidelity to regulate almost every physiological process. In cancer, this highly organised and precisely regulated network is disrupted, hijacked or reprogrammed resulting in oncogenic protein-protein interactions (oncoPPIs). OncoPPIs, which can result from genomic alterations, are a hallmark of many types of cancers. Recent technological advances in the field of mass spectrometry (MS)-based interactomics, structural biology and drug discovery have prompted scientists to identify and characterise oncoPPIs. Disruption of oncoPPI interfaces has become a major focus of drug discovery programs and has resulted in the use of PPI-specific drugs clinically. However, due to several technical hurdles, studies to build a reference oncoPPI map for various cancer types have not been undertaken. Therefore, there is an urgent need for experimental workflows to overcome the existing challenges in studying oncoPPIs in various cancers and to build comprehensive reference maps. Here, we discuss the important hurdles for characterising oncoPPIs and propose a three-phase multidisciplinary workflow to identify and characterise oncoPPIs. Systematic identification of cancer-type-specific oncogenic interactions will spur new opportunities for PPI-focused drug discovery projects and precision medicine.

Indexed as

NeoplasmsPrecision MedicineCarcinogenesisHumansOncogenesProtein Interaction Mappingcancerdrug discoverygenomic alterationprecision medicineprotein-protein interaction

Identifiers

PMID35113472
PMCPMC9306658

What OpenQuestion holds

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LicenceCC BY-NC
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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.