Evidence map›Paper›PMID 23725674›Full record

ReviewTrends in pharmacological sciences2013

Targeting protein-protein interactions as an anticancer strategy.

Andrei A Ivanov, Fadlo R Khuri, Haian Fu

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers.

0numbers the graph read from it
0cells of the map it votes in
182citing 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

182 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Neo-Cysteine Molecular Glues for Targeting Mutated SMAD4 Protein.Angewandte Chemie (International ed. in English) · 2026
    Article
  11. Hot-Spot-Guided Generative Deep Learning for Drug-Like PPI Inhibitor Design.Interdisciplinary sciences, computational life sciences · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

122 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

3 authors.

Andrei A IvanovDepartment of Pharmacology, Emory University, Atlanta, GA 30322, USA.
Fadlo R Khuri
Haian Fu

Funding

Targeting Microtubules and HDAC6 in NSCLCP01CA116676 · NCI · EMORY UNIVERSITY · PI KHURI, FADLO RAJA · 2006 to 2012
$8.0M
Systematic discovery of neomorph protein-protein interactions in cancer for oncogenic pathway perturbationU01CA217875 · NCI · EMORY UNIVERSITY · PI FU, HAIAN · 2017 to 2021
$4.5M
HIGH THROUGHPUT PROTEIN-PROTEIN INTERACTION INTERROGATION IN CANCERU01CA168449 · NCI · EMORY UNIVERSITY · PI FU, HAIAN · 2012 to 2016
$4.2M
NCI NIH HHS P01 CA116676NCI NIH HHS P01CA116676NCI NIH HHS U01 CA168449NCI NIH HHS U01 CA217875
6 · The paper itself

Abstract

The emergence and convergence of cancer genomics, targeted therapies, and network oncology have significantly expanded the landscape of protein-protein interaction (PPI) networks in cancer for therapeutic discovery. Extensive biological and clinical investigations have led to the identification of protein interaction hubs and nodes that are critical for the acquisition and maintenance of characteristics of cancer essential for cell transformation. Such cancer-enabling PPIs have become promising therapeutic targets. With technological advances in PPI modulator discovery and validation of PPI-targeting agents in clinical settings, targeting of PPI interfaces as an anticancer strategy has become a reality. Future research directed at genomics-based PPI target discovery, PPI interface characterization, PPI-focused chemical library design, and patient-genomic subpopulation-driven clinical studies is expected to accelerate the development of the next generation of PPI-based anticancer agents for personalized precision medicine. Here we briefly review prominent PPIs that mediate cancer-acquired properties, highlight recognized challenges and promising clinical results in targeting PPIs, and outline emerging opportunities.

Indexed as

Drug DesignMolecular Targeted TherapyProtein Interaction MappingAnimalsAntineoplastic AgentsHigh-Throughput Screening AssaysHumansModels, MolecularMolecular StructureNeoplasm ProteinsNeoplasmsProtein Interaction Domains and MotifsSignal TransductionStructure-Activity RelationshipAntineoplastic AgentsNeoplasm Proteins

Identifiers

PMID23725674
PMCPMC3773978

What OpenQuestion holds

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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.